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AKH
Pakistan
Приєднався 10 тра 2020
Welcome to this channel, where you will learn about various aspects of communication, telecommunication, cellular networks, radio frequency, and signal and system. This channel offers you informative and engaging content, such as discussions on different topics, simulations using software tools, and experiments using hardware and trainer boards. I hope you find this channel useful and enjoyable. All the videos are made Ad-free for uninterrupted viewing on this channel.
Transposed Signal Flow Graphs in DSP Analysis
Using Signal Flow Graph SFG, the transposition or transposed form of SFG is explained with the help of solved example of second order difference equation. Transposed SFGs are also applicable on fir besides iir systems.
Transposed SFGs, or Transposed Signal Flow Graphs, are a type of graphical representation used in digital signal processing to model the behavior of linear systems. They are similar to regular signal flow graphs, but the direction of the arrows is reversed. This allows for the analysis of systems in the frequency domain, which can be useful for studying the behavior of filters and other systems that manipulate signals in the frequency domain. The Transposed SFG can be used for solving the algebraic equation for the frequency response of the system.
Transposed SFGs, or Transposed Signal Flow Graphs, are a type of graphical representation used in digital signal processing to model the behavior of linear systems. They are similar to regular signal flow graphs, but the direction of the arrows is reversed. This allows for the analysis of systems in the frequency domain, which can be useful for studying the behavior of filters and other systems that manipulate signals in the frequency domain. The Transposed SFG can be used for solving the algebraic equation for the frequency response of the system.
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Відео
Feedback IIR and Non-computable System in Digital Signal Processing
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What are feeback iir systems in dsp and how an iir converts to and fir filter by ploe zero cancellation are addressed in this video using SFG. Moreover, non-computable system with feedback without memory register is discussed and a solved example is presented therein. The content of this video is primarily based on the following references. 1. Discrete-Time Signal Processing by Alan V. Oppenhei...
Structure of IIR in DSP using SFG
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Using Signal Flow Graph, i.e., SFG, basic structures of IIR system are discussed with solved examples. The video starts by introducing the merits of each representation and includes topics related to computational complexity, area of chip, modularity of VLSI circuits, precision requirements in terms of fixed point and floating point before moving towards Type I form of IIR system and Type II fo...
DTFT of Moving Average Filter
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Discrete time Fourier Transform dtft of a moving average filter is derived in this video and magnitude and phase plots are showcased. a step by step approach is followed for the Fourier transform representation.
DSP Calculating output with impulse and cos function input
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A solved example of discrete time signals and system in digital signal processing for LTI real impulse response and cos function input is given in this video. A detailed derivation of dtft based frequency response is provided. The content of this video is primarily based on the following references. 1. Discrete-Time Signal Processing by Alan V. Oppenheim, Ronald W. Schafer, with John R. Buck. 3...
Frequency domain representation in discrete time signal and system
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In digital signal processing, frequency domain representation of discrete time signals and systems is a fundamental concept. In this video, we initially define the eigenfunction and eigenvalues , define the frequency response or the transfer function of an LTI system, solve example of perfect delay system and find its discrete time Fourier transform (DTFT), point towards the inverse Fourier tra...
Signal flow graph SFG of LTI DT LCCDE System with Examples
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Introduction to signal flow graph SFG in DSP, its difference with the block diagram representation, definition of nodes and branches and solved examples are the content of this video. The signal flow graph in control systems and digital signal processing helps in understanding the computational complexity and system dynamics. The content of this video is primarily based on the following referen...
Direct Form I & II in LTI Systems: A Beginner's Guide with Block Diagrams | DT LCCDE |
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Discrete time linear time invariant systems, i.e., DT LTI systems and LCCDE block diagram representation as Direct Form I and Direct Form II also known as canonical forms are discussed in this video. For reference of further discussion, following references are useful. 1. Discrete-Time Signal Processing by Alan V. Oppenheim, Ronald W. Schafer, with John R. Buck. 3rd edition, Prentice Hall, 2010...
How to Avoid ISI in Digital Communication (Tutorial) | Pulse Shaping and Raised Cosine | ADC 4.17
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In this video, you will learn how to avoid intersymbol interference (ISI) in digital communication systems. ISI is a phenomenon where one symbol interferes with another symbol, causing distortion and errors. You will see an example of ISI in a telecommunication environment and how it affects the signal quality. You will also learn about the issues with minimum transmission bandwidth and the rol...
Periodic Square Wave Fourier Series Coefficients | Signals and Systems Example
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Complex exponential fourier series of periodic square wave is expressed and the coefficients of fourier series are found using the analysis expression.
Magnitude and Phase Plot of Fourier Series Coefficients Example | Signals and Systems
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In this video tutorial example related to Fourier series, a magnitude and phase plot of coefficients are sketched.
Fourier Series: Solving Two-level Square Function Examples
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Fourier series engineering mathematics, and more specifically complex exponential Fourier series method of calculating coefficients of a two-level square function is given in this solved example.
Convolution Integral: Solving Example and Understanding its Solution | Signals and Systems
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Convolution integral is a mathematical operation that is used to express the relationship between two functions and is often used in signal processing and control systems. The convolution integral is represented by the symbol ∗ (asterisk) and is defined as the integral of the product of one function (f(t)) with a time-reversed and scaled version of another function (g(t)) over the entire range ...
Convolution Sum: Solving Example and Understanding the Solution
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An example of discrete time convolution sum of two signals under the umbrella of signals and systems in discussed in this video tutorial.
Tutorial: Solution of 2nd Order Difference equation with initial conditions using Convolution | 2.6
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A tutorial on 2nd order difference equation for a causal LTI system under LCCDE having initial conditions and input is given in this video. We start by first defining the zero input response and zero state response. Then the characteristic equation of the causal linear time invariant system is outlined. Next, the particular solution is found by convolution sum of impulse response and input. Not...
What are Bandwidth and Data Rate of a Network?
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What are Bandwidth and Data Rate of a Network?
Rayleigh fading and Rician Fading Explained with Cricket Analogy
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Rayleigh fading and Rician Fading Explained with Cricket Analogy
Simulink Tutorial on BPSK Modulation and Demodulation under AWGN
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Simulink Tutorial on BPSK Modulation and Demodulation under AWGN
AWGN, WGN, Autocorrelation and PSD Explained using Matlab
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AWGN, WGN, Autocorrelation and PSD Explained using Matlab
Review Example: Signal-to-noise ratio of Quatizer SQNR, Quantization Level, SNR and Capacity
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Review Example: Signal-to-noise ratio of Quatizer SQNR, Quantization Level, SNR and Capacity
PAM, PWM and PPM Modulation and Demodulation Explained Using Simulink | ADC 4.6
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PAM, PWM and PPM Modulation and Demodulation Explained Using Simulink | ADC 4.6
Example: Indirect Method of FM Generation by Armstrong WBFM Approach | FM 3.10
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Example: Indirect Method of FM Generation by Armstrong WBFM Approach | FM 3.10
Indirect Method of FM Generation by Armstrong WBFM Approach | FM 3.9
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Indirect Method of FM Generation by Armstrong WBFM Approach | FM 3.9
Vestigial Sideband VSB Modulation Example | AM 2.8b
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Vestigial Sideband VSB Modulation Example | AM 2.8b
Single Sideband Modulation With Hilbert Transform Example | AM 2.7b
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Single Sideband Modulation With Hilbert Transform Example | AM 2.7b
Amplitude Modulation: Solving Modulation Index Example | AM 2.4b
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Amplitude Modulation: Solving Modulation Index Example | AM 2.4b
Power Spectral Density Example | How to find auto-correlation function from PSD? |
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Power Spectral Density Example | How to find auto-correlation function from PSD? |
FM & PM: A Step-by-Step Tutorial with 4 Solved Examples | FM 3.2
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FM & PM: A Step-by-Step Tutorial with 4 Solved Examples | FM 3.2
FM & PM Explained with Simulink Design | Frequency Modulation and Phase Modulation | FM 3.1
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FM & PM Explained with Simulink Design | Frequency Modulation and Phase Modulation | FM 3.1
LTI Systems: Understanding Linear Time Invariant Systems | 1.10
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LTI Systems: Understanding Linear Time Invariant Systems | 1.10
Nepali
The video is so good great but ends up abruptly. Dude please complete the whole video! But he explained so well I got Manchester NRZ on my own
Thank you for this Easiest explanation sir , now I can learn frequency domain curiously as I know it's importance
sir continous time vco is not there what can we use
good introduction to applications of signals and systems
How come your side bands are so smooth, I am getting distortion in the peaks
Sir!By this way can we convert square wave to sine wave using Fourier transforms.
When u are apply hold on condition at the time of quantization ,how the graph quantized in figure 2
thanks
Beton yetmezz
Thank you
T*şşaktan yürüyemiyor
Nah bu kadarrr
Beton Yetmezz
Great
hi the graph of figure 2 seems to not work anymore in the newest version of matlab do you have any way to convert it? i tried converting it but it only shows flatline @amplitude = 0 % Plot for showing the sampling information figure(2); % Time vectors for original and resampled signals t1 = linspace(0, info.Duration, size(y, 1)); % Time vector for original signal t2 = linspace(0, info.Duration, size(y1, 1)); % Time vector for resampled signal % Plot the entire resampled signal y1 plot(t1(1:100),y(1:100,1),'-b*',t2(1:(100/p)+1),y1(1:100/p+1,1),'-ro') title('Sampling Info'); xlabel('Time (s)'); ylabel('Amplitude'); legend('Original', 'Resampled', 'Location', 'South'); please help
thank you
Thank you very much.
Very clear explanation, thank you so much sir..but voice not clear
sir aap apni videos main itna aacha perha ra hain! class main asa kyu nahi perhata! ❤❤❤❤ by the way the videos are immensely helpful
Sir Class mein bhi acha parhate hain bhai :) and videos mein toh aur bhi zyada acha!!!
My 2 cents on the point: Lecture videos are open loop, whereas class environment is a closed-loop system. Real time lectures deals more with the level of feedback, can be more flexible, and inviting students to answer key questions rather than instructor walking through stuff from "a to z". Also, real time lectures are aimed more at developing analytical thinking skills of students, rather than telling students that how well an instructor solves a problem.
@@AKHassan agreed sir👍🏼
Sir class mein toh aisa nhn parhate :( btw videos are very Beautifully explained.
Thank you Sir!!! This video is very helpful.
Very short and intuitive
I think CDMA is also used in 2G?
Yes that is true for newer versions of 2G, as not so much standardization was done back then.
thmx
you gained a solid follwer. thanks for doing question and solving it
Please make this video by speaking in hindi.
what does time adjustment mean and why is it done?
which filter is this? as i didn't find bessel filter in matlab
Sir in here T and K both should be positive or not?
Here, should N be a positive integer? So that K also should be a positive integer.
Great content; bad audio quality
How to make up sampling?
do u have DPCM circuit simulation
What is dummy variable
Amazing 😅!
thank you so much
very well explained
Thank you
difine modulation index am sketch am signal in time domain ane FM domain sir please send is answer 😢
how to calculate the SNR of demodulated signal?
Sir, show the matlab code for model 2 approach as well..
1) Thank you! 2) Errata: 9:48 b_1 --> b_0 9:53 a_n-->a_k ; b_N --<b_k 3) What graphic tablet are you using? are you pleased with this tablet?
Thank you for the comments. I am using wacom centiq pro. It's excellent.
@@AKHassan Thank you once again!
Sir can you please tell me how to generate a Random PWM signal with a fixed duty cycle.. Please
And what does -560 Khz mean ?
Do you mean negative frequency, for such, plz see www.khanacademy.org/science/electrical-engineering/ee-circuit-analysis-topic/ee-ac-analysis/v/ee-negative-frequency
Hai Sir, Can you do for this question: x(n)=1,7,2,1,1,0,3,6 and first no at n=0 convolution with h(n)=1,1,1,1,1 and third no at n=0. Is it important the place of first point at the right of n axis?
can u give me example we use complex in natural ?
QAM
@@UA-camSubscribe in our daily life, not as mathematics?
بہت بہت شکریہ❤
Best explanation ever, is it possible to change the sign power of a sensor ?
Thanks for the lecture , great explanation