Signal and System: Group Delay and Phase Delay
Topics Discussed:
1. Group delay
2. Phase delay
3. Group delay formula
4. Phase delay formula
5. Group delay and phase delay of distortionless LTI system
Signal & System: https://goo.gl/spqKtg
Network Theory: https://goo.gl/9iTk9K
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Music:
Axol x Alex Skrindo - You [NCS Release]
Image: By Brews ohare - Own work, CC BY-SA 3.0, https://commons.wikimedia.org/w/index.php?curid=19014255

Views: 23158
Neso Academy

In this Lecture, concepts of phase delay and group delay are discussed.
For Lecture Material download from the link:
https://learningzeverything.blogspot.in/

Views: 8374
Learning Is Everything

Signal and System: Group Delay & Phase Delay (Solved Problems)
Topics Discussed:
1. Group delay and phase delay solved problems
2. Group delay and phase delay of first order low pass filter
Signal & System: https://goo.gl/spqKtg
Network Theory: https://goo.gl/9iTk9K
Contribute: http://www.nesoacademy.org/donate
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#SignalAndSystemByNeso
Music:
Axol x Alex Skrindo - You [NCS Release]

Views: 11924
Neso Academy

Lecture 69: In this lecture Prof Aditya K. Jagannatham of IIT Kanpur explains the following concepts in Principles of Signals and Systems
Group/ Phase Delay – Part I

Views: 1968
Principles of Signals and Systems - IITK

Roger Gibboni presents to the New Jersey Audio Society about Group Delay in high-end audio

Views: 1296
Rogers High Fidelity

Learn how to calculate the group delay of a discrete-time system (includes examples).
NOTE: Group delay is more precisely defined in terms of the *argument* (abbreviated "arg") of the complex exponential, i.e., group delay is the negative derivative of "arg(H(e^jω)." Consequently when you write H(e^jω) in the form A(e^jω)e^j(arg), the "A" (amplitude) function can go negative (adding a step discontinuity of plus/minus pi to the phase), but the "arg" function is independent of this discontinuity. At 3:23 -5ω should be identified as "arg(H(e^jω)" (similarly for -2ω at 6:15).
** See the full collection of problems and tutorials at http://www.rose-hulman.edu/~doering/ece380_tutorials_and_problems.pdf **

Views: 30679
Rose-Hulman Online

Lecture 70: In this lecture Prof Aditya K. Jagannatham of IIT Kanpur explains the following concepts in Principles of Signals and Systems
Group/ Phase Delay – Part II

Views: 1298
Principles of Signals and Systems - IITK

Information Signals
Lecture 18

Views: 3928
Paul Cuff

The group delay defines the time a certain frequency is delayed by a filter. Ideally this should be constant and can be achieved by a Bessel filter in the analog domain. We will use this definition later to derive a digital filter with constant group delay.
http://www.hparchive.com/seminar_notes/a-127.pdf

Views: 5337
Digital Signal Processing

An Analog Arts oscilloscope (http://analogarts.com/) is used to show how to measure signal propagation delay in coaxial cables. Propagation delay is defined as the time that it takes for a signal to travel between two points.

Views: 4084
Arash Kamangir

This video illustrates the concepts of auto and cross correlation and their applications in time delay (lag) measurements

Views: 48586
Virtins Technology

This video demonstrates group delay and relative phase measurements on frequency converting devices where access to the LO is limited. The measurements are made using the R&S ZVA vector network analyzer equipped with the R&S ZVA-K9 embedded LO mixer delay measurements option from Rohde & Schwarz. Based on a unique and novel two-tone method, mixers and frequency converters can be characterized in a very simple and convenient way.
More:
http://www.rohde-schwarz.com/product/ZVA
http://www.rohde-schwarz.com/appnote/1EZ60

Views: 2958
Rohde Schwarz

http://theproaudiofiles.com // An introduction and technical video on zero-phase filters.
—
Hey guys, this is Eric Tarr for theproaudiofiles.com.
I've got a video for all of the audio nerds out there. The guys that like to geek out on anything and everything related to audio, how stuff works, all of the details, all of the subtle nuanced things.
So this video is really just about different kinds of filters, or different kinds of equalizers. We'll call them basically the same thing.
These tools that we use to process our signal in a frequency dependent manner. There are different categories of these things. If you've been around audio for awhile, you've probably come across and notice that there are some equalizers, or filters, that are called “Linear Phase.” Right?
And then that opens up the possibility that there must be another category of equalizers that are non-linear phase. So here's one from Waves, and it's even — you know, branded, marketed as “This is a linear phase equalizer.”
I'm going to pull up another one here so we can look at it. This is one from Ozone. This is their equalizer that's part of the Ozone Advanced, and you can see on this plot that there is a line. That's the main one we used. The white line that tells us the amplitude response of this filter. This equalizer.
But behind that, there's another line. This is the phase response that's going to happen, and it's based on units of degrees. What kind of phase shift is going to occur for this equalizer. We can see right around this frequency of interest, there's this phase warping that occurs where there's some kind of phase shift that happens in a quick transition, and a little bit more of a phase shift right around there.
So you know, this would be considered then a non-linear phase. So it's not just a straight line here when it comes to the phase shift that occurs. If we were to analyze a linear phase one, it would be a straight line that we could work with.
Now, most of the time, our ears could care less about the phase shift. Our ears are not very good at picking up on a phase shift that occurs in a signal if we send it through an equalizer.
So that's good. We're much better as listeners at picking up the amplitude change. However, there are some situations if you're doing stuff in parallel or complicated kinds of routing, and you're doing equalization, where it's appropriate to use linear phase.
So what happens with linear phase? We're going to have this constant delay that happens to all of the frequencies together. So in audio, we could call that some small amount of latency, or electrical engineers call that group delay. Some kind of short delay that happens to all of the frequencies evenly.
Well, that doesn't occur when we've got it going on over here, like we have this group delay. We can see that. Right? That's not happening evenly to all frequencies. Some amount of milliseconds now over here that we can see that some of these frequencies are getting offset.
So if we're trying to do things in parallel and blend stuff together, this could cause some weird interaction where there might be some constructive and destructive interferences going on right around this frequency of interest.
So those are kind of some things to understand just about linear phase and non-linear phase forms of filtering and equalization.
However, there is a whole other category. A third type of filter to know about. They are less common. We don't really have plug-ins that are branded as this kind of thing, because it's going to require some finesse. Some ways of working with the signal.
This is called “Zero Phase Filters.” These are filters that have no frequency phase change. No phase distortion, no phase offset.
Now, to accomplish this is very possible for us as audio engineers to do it in our digital audio workstation. So what I'm going to show you here is some information.
This is up on a video online. Some of the stuff that you'll come across if you Google search zero phase filtering. It can be pretty complicated as far as the math goes. If you're really interested in getting into it, it might take some time to understand really how you can prove that these things work, but I'm going to show you mainly how do you use it. How could you possibly create it.
So zero phase filtering, what's the idea? You're going to end up with no phase distortion. No warping or anything like that. We don't even have a time delay, which is the case in the linear phase kinds of filters.
So I'm going to jump ahead down here, and let's talk about how does this actually occur? How can we implement this ourselves in our digital audio workstation, where we could do some spectral processing where we changed the amplitude with zero phase shift? Zero phase change?
[truncated]

Views: 5191
Pro Audio Files

Views: 72
M

In this video you will see how to write problem on Frequency Response in Discrete Time Signal Processing
Frequency Response
Frequency response is the quantitative measure of the output spectrum of a system or device in response to a stimulus, and is used to characterize the dynamics of the system. It is a measure of magnitude and phase of the output as a function of frequency, in comparison to the input. if a sine wave is injected into a system at a given frequency, a linear system will respond at that same frequency with a certain magnitude and a certain phase angle relative to the input. Also for a linear system, doubling the amplitude of the input will double the amplitude of the output. In addition, if the system is time-invariant (so LTI), then the frequency response also will not vary with time. Thus for LTI systems, the frequency response can be seen as applying the system's transfer function to a purely imaginary number argument representing the frequency of the sinusoidal excitation.
Type of Frequency Response
1) Magnitude response
The absolute value of the Fourier transform of the unit sample response. For a real impulse response digital filter, the magnitude response is a real even function of the frequency. A function of the frequency f where every value is obtained as the magnitude of the complex value of the frequency response in that frequency f .
2) Phase response
phase response is the relationship between the phase of a sinusoidal input and the output signal passing through any device that accepts input and produces an output signal, such as an amplifier or a filter. The dependence on signal frequency of the output–input ratio of an amplifier or other device.
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Views: 33548
Ekeeda

A short follow up to my previous video on RC filter design, demonstrating the phase delay through a multi-stage Sallen-Key low pass filter (Chebyshev response).

Views: 5804
devttys0

Brief introduction to the Z-transform
Dr. Peyam's video on complex analysis: https://www.youtube.com/watch?v=66AlliKQc-g

Views: 347
The Differential Equations Channel

Join Antenna Community in FB:
https://www.facebook.com/groups/antenna.lab
In this video I have shown how to measure group delay & S21 of UWB antennas in the lab. I have designed this antenna in both CST and HFSS . Measurement results are in very good terms with the simulation results. The antenna's operating bandwidth is lower UWB spectrum.
UWB antenna must have a constant group delay for efficient transmission & reception of signal. Any sort of large group delay variation means non linearity in phase with respect to frequency which creates dispersion in the transmission and reception.
I used Agilent E5071B VNA for measurement purpose.
Please like, subscribe and share!
Check out this video: Complete Vivaldi antenna design in CST
https://www.youtube.com/watch?v=L6l6AGAJhr8&t=5s
***Please visit lab's website
https://tensorbundle.wixsite.com/home
***Please visit Tensorbundle facebook page, like it and share your inquiries :
https://www.facebook.com/tensorbundle/
***Have a problem? Want to discuss with others? Join the FB group:
https://www.facebook.com/groups/antenna.lab

Views: 2712
tensorbundle

Networks, Signals and Systems
Network solution methods: nodal and mesh analysis; Network theorems: superposition,
Thevenin and Norton’s, maximum power transfer; Wye‐Delta transformation; Steady state
sinusoidal analysis using phasors; Time domain analysis of simple linear circuits; Solution of
network equations using Laplace transform; Frequency domain analysis of RLC circuits;
Linear 2‐port network parameters: driving point and transfer functions; State equations for
networks.
Continuous-time signals: Fourier series and Fourier transform representations, sampling
theorem and applications; Discrete-time signals: discrete-time Fourier transform (DTFT),
DFT, FFT, Z-transform, interpolation of discrete-time signals; LTI systems: definition and
properties, causality, stability, impulse response, convolution, poles and zeros, parallel and
cascade structure, frequency response, group delay, phase delay, digital filter design
techniques.
Electronic Devices
Energy bands in intrinsic and extrinsic silicon; Carrier transport: diffusion current, drift
current, mobility and resistivity; Generation and recombination of carriers; Poisson and
continuity equations; P-N junction, Zener diode, BJT, MOS capacitor, MOSFET, LED, photo
diode and solar cell; Integrated circuit fabrication process: oxidation, diffusion, ion
implantation, photolithography and twin-tub CMOS process.
Analog Circuits
Small signal equivalent circuits of diodes, BJTs and MOSFETs; Simple diode circuits:
clipping, clamping and rectifiers; Single-stage BJT and MOSFET amplifiers: biasing, bias
stability, mid-frequency small signal analysis and frequency response; BJT and MOSFET
amplifiers: multi-stage, differential, feedback, power and operational; Simple op-amp
circuits; Active filters; Sinusoidal oscillators: criterion for oscillation, single-transistor and opamp
configurations; Function generators, wave-shaping circuits and 555 timers; Voltage
reference circuits; Power supplies: ripple removal and regulation.
Digital Circuits
Number systems; Combinatorial circuits: Boolean algebra, minimization of functions using
Boolean identities and Karnaugh map, logic gates and their static CMOS
implementations, arithmetic circuits, code converters, multiplexers, decoders and PLAs;
Sequential circuits: latches and flip‐flops, counters, shift‐registers and finite state machines;
Data converters: sample and hold circuits, ADCs and DACs; Semiconductor memories:
ROM, SRAM, DRAM; 8-bit microprocessor (8085): architecture, programming, memory and
I/O interfacing.
Control Systems
Basic control system components; Feedback principle; Transfer function; Block diagram
representation; Signal flow graph; Transient and steady-state analysis of LTI systems;
Frequency response; Routh-Hurwitz and Nyquist stability criteria; Bode and root-locus plots;
Lag, lead and lag-lead compensation; State variable model and solution of state
equation of LTI systems.
Communications
Random processes: autocorrelation and power spectral density, properties of white noise,
filtering of random signals through LTI systems; Analog communications: amplitude
modulation and demodulation, angle modulation and demodulation, spectra of AM and
FM, superheterodyne receivers, circuits for analog communications; Information theory:
entropy, mutual information and channel capacity theorem; Digital communications:
PCM, DPCM, digital modulation schemes, amplitude, phase and frequency shift keying
(ASK, PSK, FSK), QAM, MAP and ML decoding, matched filter receiver, calculation of
bandwidth, SNR and BER for digital modulation; Fundamentals of error correction,
Hamming codes; Timing and frequency synchronization, inter-symbol interference and its
mitigation; Basics of TDMA, FDMA and CDMA.
Electromagnetics
Electrostatics; Maxwell’s equations: differential and integral forms and their interpretation,
boundary conditions, wave equation, Poynting vector; Plane waves and properties:
reflection and refraction, polarization, phase and group velocity, propagation through
various media, skin depth; Transmission lines: equations, characteristic impedance,
impedance matching, impedance transformation, S-parameters, Smith chart;
Waveguides: modes, boundary conditions, cut-off frequencies, dispersion relations;
Antennas: antenna types, radiation pattern, gain and directivity, return loss, antenna
arrays; Basics of radar; Light propagation in optical fibers.

Views: 16
Gate Forum

http://AllSignalProcessing.com for more great signal processing content, including concept/screenshot files, quizzes, MATLAB and data files.
Principal value of phase, unwrapped phase, generalized linear phase, and group delay.

Views: 19628
Barry Van Veen

http://AllSignalProcessing.com for more great signal processing content, including concept/screenshot files, quizzes, MATLAB and data files.
Graphical interpretation of the magnitude response of a system described by a linear constant-coefficient difference equation in terms of the locations of poles and zeros in the z-plane.

Views: 59984
Barry Van Veen

Views: 1926
uday Gadge

Learn compression: http://learncompression.com
Learn to mix hip-hop: http://mixinghiphop.com
Improve your ear: http://quiztones.com
More mixing tips: http://theproaudiofiles.com
An in-depth tutorial on phase. Is it timing difference or polarity? What about comb filtering? What is a linear phase EQ? Learn more here: http://theproaudiofiles.com/phase/
---
Tutorial Breakdown:
Signal Phase
- What's the deal?
- Why does it matter?
- What tools are available?
- In-phase vs. Out-of-phase?
- "Kind of" In-phase?
- "Sort of" Out-of-phase?
Phase is complicated
— Not just In-phase or Out-of-phase
Signal processors can effect phase
— Phase distortion
Good news: humans cannot perceive signal phase differences in some cases
Bad news: other cases...
Signal phase is complicated
— Phase is frequency dependent
Are signal processors going to screw up my mix?
— Linear phase processors
Linear phase
— What's with the name?
Non-linear phase
— Are there any drawbacks or trade-offs?
Is a signal phase shift the equivalent of a time shift, just without the shift in time?
— That doesn't seem so bad
It is more complicated than that
— Phase is frequency dependent
Linear phase
— What's with the name?
— Non-linear phase
Are there any drawbacks or trade-offs?
Linear Phase
— Processing results in a constant time shift for all frequencies
— Relationship between frequencies is not distorted
Trade-off
— Time delay (Latency)
When are linear phase processors useful?
— When you don't want the phase relationship between different frequencies to be distorted
— When a little latency doesn't hurt anything
— Master Bus
— Compensate for latency

Views: 17582
Pro Audio Files

Enroll in Discrete-Time Signal Processing from MITx at https://www.edx.org/course/discrete-time-signal-processing-mitx-6-341x
↓ More info below. ↓
Follow on Facebook: www.facebook.com/edx
Follow on Twitter: www.twitter.com/edxonline
Follow on YouTube: www.youtube.com/user/edxonline
Discrete-Time Signal Processing
A focused view into the theory behind modern discrete-time signal processing systems and applications.
About this Course
6.341x is designed to provide both an in-depth and an intuitive understanding of the theory behind modern discrete-time signal processing systems and applications. The course begins with a review and extension of the basics of signal processing including a discussion of group delay and minimum-phase systems, and the use of discrete-time (DT) systems for processing of continuous-time (CT) signals. The course develops flow-graph and block diagram structures including lattice filters for implementing DT systems, and techniques for the design of DT filters. Parametric signal modeling and the efficient implementation of DT multirate and sampling rate conversion systems are discussed and developed. An in-depth development of the DFT and its computation as well as its use for spectral analysis and for filtering is presented. This component of the course includes a careful and insightful development of the relationship between the time-dependent Fourier transform and the use of filter banks for both spectral analysis and signal coding.
6.341x is organized around eleven units each typically consisting of a set of two to four topics. The source material for learning each topic includes suggested reading in the course text, clarifying notes, other related reading, and video excerpts and will include an interactive on-line discussion forum. The course text is the widely used text by Oppenheim and Schafer (third edition), available on the course website in viewable format. The video segments are adapted from live video recordings of the MIT residential course.
Each topic includes a set of automatically-graded exercises for self-assessment and to help in digesting and understanding the basics of the topic, and in some cases to preview topics. A typical unit in the course concludes with a set of more extensive problems to help in integrating the topics and developing a deeper understanding. Automatic grading of your answers to these problems as well as solutions will be provided.
Cite this course as
Alan V. Oppenheim and Thomas A. Baran, 6.341x Discrete-Time Signal Processing, on edX, Spring 2015. https://www.edx.org/course/mitx/mitx-6-341x-discrete-time-signal-4396

Views: 11390
edX

Demonstration of group delay measurements with the R&S®FSW signal and spectrum analyzer from Rohde & Schwarz. The R&S®FSW-K17 option performs group delay measurements - relative and absolute group delay - for example on amplifiers and frequency converting devices (mixers) over a wide analysis bandwidth using a multicarrier signal.
For further information, see:
http://www.rohde-schwarz.com/product/FSW

Views: 1662
Rohde Schwarz

Views: 4499
GATE paper

This video presents how to perform measurements on frequency converting devices that have an embedded LO with an R&S ZNA. The advantages of the R&S ZNA solution for group delay measurements on such devices, including the LO tracking feature, and the dual LO concept are shown.
More information: https://www.rohde-schwarz.com/product/zna

Views: 380
Rohde Schwarz

The polar RF transmitter architecture, Kahn Envelope Elimination and Restoration (EER), aims at achieving linearity, while amplifying non-constant envelope signals efficiently by means of switch mode amplification. A Delta-Sigma Modulator (??) is proposed to be used before the switch mode amplifier of the envelope signal. Due to its noise shaping characteristics, sharp analog filtering is compulsory afterwards. As a consequence, spectral regrowth appears in the output signal fed to antenna. This happens due to two reasons: (i) the filter group delay variation cannot be accurately compensated with a frequency constant delay module in the phase signal path, and (ii) the reduction of the envelope signal bandwidth, which is spread by the cartesian to polar conversion. In this talk, the equalization of the group delay variation in the envelope path is studied and the improvement achieved is directly related to the relaxation of the ?? design requirements. It is shown that with a 8th order Butterworth analog low pass filter with cutoff frequency of 24 MHz, the improvement in EVMRMS and in ACPR @ 30 MHZ offset from the carrier is approximately 7 dB and 2 dB, respectively, considering a 2nd order ?? sampling at 1.28 GHz.

Views: 70
Microsoft Research

Rohde & Schwarz demonstrated group delay measurements on multicarrier signals at the European Microwave Week 2012 in Amsterdam. Using multicarrier signals, the R&S®FSW signal and spectrum analyzer easily analyses the group delay and frequency response of amplifiers, filters or frequency converting modules over a wide bandwidth of up to 160 MHz in one single and fast measurement.
For further information, see:
http://www.rohde-schwarz.com/product/FSW
http://www2.rohde-schwarz.com/en/industries/wireless_mobile_communications/rf_microwave/information/

Views: 527
Rohde Schwarz

Phase and Group Delay Measurements can be used to determine if there is distortion in your device or network of devices. See how easy it is to make these measurements using the TTR500 Vector Network Analyzer.

Views: 1742
Tektronix

Signal and System: Energy of CT Signals (Solved Problems) | Part 3
Topics Discussed:
1. Calculation of signal energy
2. Effect of time reversal on total energy
3. Effect of time shifting on total energy
4. Effect of time reversal on total energy
5. Effect of amplitude reversal on total energy
6. Effect of amplitude scaling on total energy
Signal & System: https://goo.gl/spqKtg
Network Theory: https://goo.gl/9iTk9K
Contribute: http://www.nesoacademy.org/donate
Books: http://www.nesoacademy.org/recommended-books
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#SignalAndSystemByNeso
Music:
Axol x Alex Skrindo - You [NCS Release]
https://www.youtube.com/watch?v=sA_p0rQtDXE

Views: 26076
Neso Academy

procedure to find stability of a second order discrete time system, group delay and phase delay

Views: 631
KOTI REDDY

Signal and System: Phase Distortion in LTI Systems
Topics Discussed:
1. Phase distortion (Delay distortion)
2. Phase distortion in an LTI system
Signal & System: https://goo.gl/spqKtg
Network Theory: https://goo.gl/9iTk9K
Contribute: http://www.nesoacademy.org/donate
Books: http://www.nesoacademy.org/recommended-books
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Music:
Axol x Alex Skrindo - You [NCS Release]

Views: 9446
Neso Academy

Distortionless transmission, phase delay, group delay, hilbert transform

Views: 137
Gate lectures

Networks, Signals and Systems
Network solution methods: nodal and mesh analysis; Network theorems: superposition,
Thevenin and Norton’s, maximum power transfer; Wye‐Delta transformation; Steady state
sinusoidal analysis using phasors; Time domain analysis of simple linear circuits; Solution of
network equations using Laplace transform; Frequency domain analysis of RLC circuits;
Linear 2‐port network parameters: driving point and transfer functions; State equations for
networks.
Continuous-time signals: Fourier series and Fourier transform representations, sampling
theorem and applications; Discrete-time signals: discrete-time Fourier transform (DTFT),
DFT, FFT, Z-transform, interpolation of discrete-time signals; LTI systems: definition and
properties, causality, stability, impulse response, convolution, poles and zeros, parallel and
cascade structure, frequency response, group delay, phase delay, digital filter design
techniques.
Electronic Devices
Energy bands in intrinsic and extrinsic silicon; Carrier transport: diffusion current, drift
current, mobility and resistivity; Generation and recombination of carriers; Poisson and
continuity equations; P-N junction, Zener diode, BJT, MOS capacitor, MOSFET, LED, photo
diode and solar cell; Integrated circuit fabrication process: oxidation, diffusion, ion
implantation, photolithography and twin-tub CMOS process.
Analog Circuits
Small signal equivalent circuits of diodes, BJTs and MOSFETs; Simple diode circuits:
clipping, clamping and rectifiers; Single-stage BJT and MOSFET amplifiers: biasing, bias
stability, mid-frequency small signal analysis and frequency response; BJT and MOSFET
amplifiers: multi-stage, differential, feedback, power and operational; Simple op-amp
circuits; Active filters; Sinusoidal oscillators: criterion for oscillation, single-transistor and opamp
configurations; Function generators, wave-shaping circuits and 555 timers; Voltage
reference circuits; Power supplies: ripple removal and regulation.
Digital Circuits
Number systems; Combinatorial circuits: Boolean algebra, minimization of functions using
Boolean identities and Karnaugh map, logic gates and their static CMOS
implementations, arithmetic circuits, code converters, multiplexers, decoders and PLAs;
Sequential circuits: latches and flip‐flops, counters, shift‐registers and finite state machines;
Data converters: sample and hold circuits, ADCs and DACs; Semiconductor memories:
ROM, SRAM, DRAM; 8-bit microprocessor (8085): architecture, programming, memory and
I/O interfacing.
Control Systems
Basic control system components; Feedback principle; Transfer function; Block diagram
representation; Signal flow graph; Transient and steady-state analysis of LTI systems;
Frequency response; Routh-Hurwitz and Nyquist stability criteria; Bode and root-locus plots;
Lag, lead and lag-lead compensation; State variable model and solution of state
equation of LTI systems.
Communications
Random processes: autocorrelation and power spectral density, properties of white noise,
filtering of random signals through LTI systems; Analog communications: amplitude
modulation and demodulation, angle modulation and demodulation, spectra of AM and
FM, superheterodyne receivers, circuits for analog communications; Information theory:
entropy, mutual information and channel capacity theorem; Digital communications:
PCM, DPCM, digital modulation schemes, amplitude, phase and frequency shift keying
(ASK, PSK, FSK), QAM, MAP and ML decoding, matched filter receiver, calculation of
bandwidth, SNR and BER for digital modulation; Fundamentals of error correction,
Hamming codes; Timing and frequency synchronization, inter-symbol interference and its
mitigation; Basics of TDMA, FDMA and CDMA.
Electromagnetics
Electrostatics; Maxwell’s equations: differential and integral forms and their interpretation,
boundary conditions, wave equation, Poynting vector; Plane waves and properties:
reflection and refraction, polarization, phase and group velocity, propagation through
various media, skin depth; Transmission lines: equations, characteristic impedance,
impedance matching, impedance transformation, S-parameters, Smith chart;
Waveguides: modes, boundary conditions, cut-off frequencies, dispersion relations;
Antennas: antenna types, radiation pattern, gain and directivity, return loss, antenna
arrays; Basics of radar; Light propagation in optical fibers.

Views: 44
Gate Forum

In this video, Ankit Goyal (Co-Founder of Kreatryx and AIR 1 in GATE 2014) discusses a question on Delay in Combinational Circuits which is a topic from Digital Electronics. This question will be helpful for all the GATE EE and ECE aspirants.
You can create your own K-Plan by clicking here - https://goo.gl/iTg8T4
---**---
Klassroom 2019 Registrations Open for GATE EE and GATE ECE aspirants!
25th June Batch available. Register now - https://kreatryx.com/products/klassroom
Facebook Doubt Solving Group - https://www.facebook.com/groups/kreatryx/

Views: 23765
Kreatryx

See what's new in the latest release of MATLAB and Simulink: https://goo.gl/3MdQK1
Download a trial: https://goo.gl/PSa78r
Time delay (transport delay, transport lag, dead time) is a phenomenon that occurs in physical systems that have latency in sensors, actuators, and network communication. To avoid negative effects on system performance, control engineers need to account for time delays when designing a control system.
In this webinar you will learn how to analyze the effects of time delays on control system performance using MATLAB and Simulink. You will learn how to design control algorithms that meet design requirements in the presence of time delays.
Using an example of a PID controller for an automotive internal combustion engine, MathWorks engineers will demonstrate how you can:
• Analyze time delays in both time and frequency domains
• Linearize nonlinear Simulink models for control analysis and design using either exact representation or Padé approximation of time delays
• Design robust controllers that meet requirements in the presence of time delays, even when the actual time delay is different from the assumed, nominal value

Views: 9399
MATLAB

Presentation by Rajeev Rajan at the 3rd CompMusic Workshop on 13th Dec 2013, IIT Madras, Chennai, India
Abstract: We present a novel approach for melody extraction based on the modified group delay function as opposed to conventional magnitude based approaches. In the proposed method, the power spectrum of the music signal is first flattened in order to annihilate system characteristics, while emphasising the source characteristics. The flattened magnitude spectrum is treated as a time domain signal. The modified group delay function of this signal produces peaks at multiples of the pitch period. The first three peaks are used to determine the actual pitch period. To address the effects of pitch doubling or halving, a dynamic programming based approach is used. Dynamic variation of pitch is captured by adaptive windowing in which the window size is determined by fixing a static threshold on autocorrelation of Fourier transform magnitude of frames with a lag. Voicing detection is performed using the normalized harmonic energy. The performance of the proposed system was evaluated on North Indian Classical music dataset (MIREX-2008) and Carnatic dataset. The performance is comparable to other magnitude spectrum based approaches. Important feature of the proposed algorithm is that it neither requires any substantial prior knowledge of the structure of musical pitch nor any classification framework.

Views: 290
CompMusic

Networks, Signals and Systems
Network solution methods: nodal and mesh analysis; Network theorems: superposition,
Thevenin and Norton’s, maximum power transfer; Wye‐Delta transformation; Steady state
sinusoidal analysis using phasors; Time domain analysis of simple linear circuits; Solution of
network equations using Laplace transform; Frequency domain analysis of RLC circuits;
Linear 2‐port network parameters: driving point and transfer functions; State equations for
networks.
Continuous-time signals: Fourier series and Fourier transform representations, sampling
theorem and applications; Discrete-time signals: discrete-time Fourier transform (DTFT),
DFT, FFT, Z-transform, interpolation of discrete-time signals; LTI systems: definition and
properties, causality, stability, impulse response, convolution, poles and zeros, parallel and
cascade structure, frequency response, group delay, phase delay, digital filter design
techniques.
Electronic Devices
Energy bands in intrinsic and extrinsic silicon; Carrier transport: diffusion current, drift
current, mobility and resistivity; Generation and recombination of carriers; Poisson and
continuity equations; P-N junction, Zener diode, BJT, MOS capacitor, MOSFET, LED, photo
diode and solar cell; Integrated circuit fabrication process: oxidation, diffusion, ion
implantation, photolithography and twin-tub CMOS process.
Analog Circuits
Small signal equivalent circuits of diodes, BJTs and MOSFETs; Simple diode circuits:
clipping, clamping and rectifiers; Single-stage BJT and MOSFET amplifiers: biasing, bias
stability, mid-frequency small signal analysis and frequency response; BJT and MOSFET
amplifiers: multi-stage, differential, feedback, power and operational; Simple op-amp
circuits; Active filters; Sinusoidal oscillators: criterion for oscillation, single-transistor and opamp
configurations; Function generators, wave-shaping circuits and 555 timers; Voltage
reference circuits; Power supplies: ripple removal and regulation.
Digital Circuits
Number systems; Combinatorial circuits: Boolean algebra, minimization of functions using
Boolean identities and Karnaugh map, logic gates and their static CMOS
implementations, arithmetic circuits, code converters, multiplexers, decoders and PLAs;
Sequential circuits: latches and flip‐flops, counters, shift‐registers and finite state machines;
Data converters: sample and hold circuits, ADCs and DACs; Semiconductor memories:
ROM, SRAM, DRAM; 8-bit microprocessor (8085): architecture, programming, memory and
I/O interfacing.
Control Systems
Basic control system components; Feedback principle; Transfer function; Block diagram
representation; Signal flow graph; Transient and steady-state analysis of LTI systems;
Frequency response; Routh-Hurwitz and Nyquist stability criteria; Bode and root-locus plots;
Lag, lead and lag-lead compensation; State variable model and solution of state
equation of LTI systems.
Communications
Random processes: autocorrelation and power spectral density, properties of white noise,
filtering of random signals through LTI systems; Analog communications: amplitude
modulation and demodulation, angle modulation and demodulation, spectra of AM and
FM, superheterodyne receivers, circuits for analog communications; Information theory:
entropy, mutual information and channel capacity theorem; Digital communications:
PCM, DPCM, digital modulation schemes, amplitude, phase and frequency shift keying
(ASK, PSK, FSK), QAM, MAP and ML decoding, matched filter receiver, calculation of
bandwidth, SNR and BER for digital modulation; Fundamentals of error correction,
Hamming codes; Timing and frequency synchronization, inter-symbol interference and its
mitigation; Basics of TDMA, FDMA and CDMA.
Electromagnetics
Electrostatics; Maxwell’s equations: differential and integral forms and their interpretation,
boundary conditions, wave equation, Poynting vector; Plane waves and properties:
reflection and refraction, polarization, phase and group velocity, propagation through
various media, skin depth; Transmission lines: equations, characteristic impedance,
impedance matching, impedance transformation, S-parameters, Smith chart;
Waveguides: modes, boundary conditions, cut-off frequencies, dispersion relations;
Antennas: antenna types, radiation pattern, gain and directivity, return loss, antenna
arrays; Basics of radar; Light propagation in optical fibers.

Views: 10
Gate Forum

台大電機系大二必修課：信號與系統
Chapter 6: Time & Frequency Characterizationof SS
"Signals & Systems" by Oppenheim and Willsky, 1997
http://cc.ee.ntu.edu.tw/~fengli/Teaching/SignalsSystems/

Views: 706
Feng-Li Lian

The time delay property of Laplace Transforms is introduced using the unit step. This is followed by a slightly more complicated example.

Views: 8892
Gordon Parker

Problem on group delay

Views: 143
KOTI REDDY

Lecture Series on Circuit Theory by Prof. S. C. Dutta Roy, Department of Electrical Engineering, IIT Delhi. For more Courses visit http://nptel.iitm.ac.in

Views: 27620
nptelhrd

台大電機系大二必修課：信號與系統
Chapter 6: Time & Frequency Characterizationof SS
"Signals & Systems" by Oppenheim and Willsky, 1997
http://cc.ee.ntu.edu.tw/~fengli/Teaching/SignalsSystems/

Views: 458
Feng-Li Lian

Find the steady-state response to a sum of sinusoidal inputs.
** See the full collection of problems and tutorials at http://www.rose-hulman.edu/~doering/ece380_tutorials_and_problems.pdf **

Views: 27678
Rose-Hulman Online

For more information, please visit http://www.rohde-schwarz.com

Views: 941
Rohde Schwarz

Views: 114
Gate Forum

Learn about some of the interesting and non-intuitive properties of sinusoidal signals when time goes in discrete steps.
** See the full collection of problems and tutorials at http://www.rose-hulman.edu/~doering/ece380_tutorials_and_problems.pdf **

Views: 13943
Rose-Hulman Online