Learn Digital Signal Processing - From Basics To Advance

Complete Course for 2021 - Digital Signal Processing, DSP, Signal Processing, DFT, FFT, Digital Filters

4.17 (194 reviews)
Udemy
platform
English
language
Engineering
category
instructor
2,841
students
24 hours
content
Jul 2021
last update
$69.99
regular price

What you will learn

Be able to learn the basic discrete-time signals and system types

Be able to learn impulse and frequency response concepts for linear, time-invariant (LTI) systems

Be able to learn discrete-time Fourier transform, DFT and basic properties of these

Be able to Z and inverse Z transform, region of convergence concepts and their properties

Understands block diagram representations of difference equations that realize digital filters, Learns direct forms 1 and 2 for IIR filter realization.

Understands Radix-2 Techniques and Learns direct form for FIR filter realization

Description

DSP subject deals with Discrete time signal analysis, Discrete Time systems, DTFT, DFT, FFT, Digital Filters ( IIR and FIR filters). The course covers the essential elements of a DSP system from A/D conversion. The course starts with a detailed overview of discrete-time signals( periodic, even, odd, energy and power ) and systems, representation of the systems by means of differential equations, and their analysis using Fourier and z-transforms. Solving differential equations using Z-Transforms and finding frequency responses. Topics include sampling, impulse response, frequency response, finite and infinite impulse response systems, linear phase systems, digital filter design and implementation, discrete-time Fourier transforms, discrete Fourier transform, and the fast Fourier transform algorithms.

Understands the linear convolution( Graphical method and tabular form method) and circular convolution (Matrix and Concentric circle methods) and differences. This course deals with limitations of DTFT and DFT.FFT techniques are DIT-DFT, DIT-IDFT,DIF-DFT and DIF-IDFT techniques.

Digital filters are IIR and FIR filters, design methods and implementation.

Digital Signal Processing concludes with digital filter design and a discussion of the fast Fourier transform algorithm for computation of the discrete Fourier transform.

This course covers Decimation( down sampling) and Interpolation ( up sampling)  operations.

This course covers multi rate signal processing and single rate signal processing.

I suggest you use the "Signals and Systems" book by Oppenheim or Digital Signal Processing By Proakis.

Content

Introduction

Introduction of Discrete Time signals
Basic Signals
Time Shifting Operation
Time Scaling Operation
Time Folding Operation
ADD/SUB/MUL of signals
Relation between Basic signals

CLASSIFICATION OF SIGNALS

Classification of signals
Periodic and Aperiodic Signals
Problems on Periodic and Aperiodic signals
Energy and Power signals
Problems on Energy and Power signals
Problems on Energy and Power signals-2
EVEN and ODD signals
EVEN and ODD signals1
CAUSAL and NON-CAUSAL signals

SYSTEMS

Types of systems ( Linear and Non-Linear)
Linear and Non-Linear systems
Stable and Unstable systems
Stable and Unstable systems1
Static and Dynamic systems
Static and Dynamic systems1
Time variant and Time invariant system

Z - TRANSFORMS

Introduction
Z - Transform of basic signals
Z - Transform ( ROC )
Z-Transform of given signals
Z-Transform of given signals1
Z-Transform of given signals2
Z-Transform of given signals3
Z-Transform of given signals4
Z-Transform of given signals5
Z-Transform of given signals6
Z-Transform of finite sequence
Z-Transform of finite sequence 1
Z-Transform of sinusoidal signals
Z-Transform of sinusoidal signals1
Scaling property of Z-Transform
Time scaling property of Z-Transform
Time shifting property of Z-Transform
Time shifting property of Z-Transform(1)
Multiplication in time domain property of Z-Transform
Time folding property of Z-Transform
All properties of Z-Transform
Problems on Z-Transform
Problems on Z-Transform-1
Inverse Z-Transform
Z-Transform of given signals4

Convolution

Introduction
Linear Convolution
Linear Convolution1
Linear Convolution2
Circular Convolution
Circular Convolution1
Circular Convolution2

DISCRETE TIME FOURIER TRANSFORM(D.T.F.T)

Introduction
Relation between DTFT and ZT
DTFT of basic signals
DTFT of given Signals
DTFT of given Signals1
Properties of DTFT
Properties of DTFT-1
Properties of DTFT-2
Problems On DTFT
Problems On DTFT1

DISCRETE FOURIER TRANSFORM ( DFT )

Fourier Analysis
DTFT and DFT
DFT of given sequence
DFT of given sequence1

Screenshots

Learn Digital Signal Processing - From Basics To Advance - Screenshot_01Learn Digital Signal Processing - From Basics To Advance - Screenshot_02Learn Digital Signal Processing - From Basics To Advance - Screenshot_03Learn Digital Signal Processing - From Basics To Advance - Screenshot_04

Reviews

Brian
September 5, 2023
The material so far is good, just the volume is hard to hear, i have my headphones on at 100% and can bearly hear
Kevin
June 27, 2023
The professor is definitely professional in the field, the content is well organized covering all the essential topics and the concrete examples/problems present the thorough understanding of the theories.
Jorge
May 3, 2023
Great example exercises, teaching and sequence of subjects. Makes understanding the subject very easy.
Akhilesh
January 3, 2023
Even a layman in communication, can easily understand and apply this. Covers all the basics required for the advance concept. I can see lot of passion in Sir's teaching. Thank you so much sir for this wonderful course.
Selim
July 29, 2022
Bu videodaki ingilizce altyazının profesörün anlattıkları ile alakası yoktu. Biscuit time signals gibi komik çeviriler olmuş.
Aydoldu
July 22, 2022
Yeah, very nice and useful course. Better than course in my college. I wish I took this course before.
Sohan
June 18, 2022
I like the course and the Signal & System course! Would be helpful if you could add a course on communication systems with Matlab implementation
James
April 20, 2022
Awesome course. Well beyond just the theory and into practical application that can be used to develop code for the many of us that cannot just simply distribute MatLab.
Wynand
February 9, 2022
Language and pronunciation difficult to follow for native English speaking person. Lots of repetition and the pace is very slow at times when things are simple but then speeds up when it gets more complicated. Some course notes may have helped to bridge the language gap?
Bijan
October 26, 2021
i wish that these courses were in single module instead of multiple modules. in india, the price might be low but in foreign countries the price is quite high.
Vanaja
May 28, 2021
Excellent course, great quality maintained for this course as well once again the lectures are full of clarity on the concepts, must learn course for ECE students. Really helped me understanding core concepts of DSP( FFT, IIR & FIR FILTERS). THANK YOU PROFESSOR.
Chungkuang
April 22, 2021
It is not an advance class. The class teaches the basic DSP knowledge. There is no lecture note offered by the class. All class material is provided only through the video. However, it is not clear and the professor's accent made me hard to figure out the content. Sometimes the teacher talks so fast so I cannot learn and think about what he tried to explain. Not recommend.
Hanup
April 4, 2021
Very informative course, suitable for beginners, all the concepts are covered and clearly explained with examples. This course is suitable for both academic and competitive exams.

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3837018
udemy ID
2/9/2021
course created date
3/22/2021
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