Learn Digital Signal Processing - From Basics To Advance

Name: Learn Digital Signal Processing - From Basics To Advance
Rating: 4.5 (399 reviews)

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

Created bySrinivas Andoor, Edufulness EFN

Last updated 10/2025

English

What you'll 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

Course content

12 sections • 132 lectures • 24h 11m total length

Introduction4:15
Introduction of Discrete Time signals18:17
Basic Signals8:13
Time Shifting Operation17:27
Time Scaling Operation16:16
Time Folding Operation13:13
ADD/SUB/MUL of signals15:08
Relation between Basic signals15:16

Classification of signals12:17
Periodic and Aperiodic Signals14:41
Problems on Periodic and Aperiodic signals10:22
Energy and Power signals12:39
Problems on Energy and Power signals12:02
Problems on Energy and Power signals-214:43
EVEN and ODD signals9:40
EVEN and ODD signals114:12
Explore determining whether signals are even, odd, or neither, compute their even and odd components using (x(n)+x(-n))/2 and (x(n)-x(-n))/2, and apply to real and complex signals.
CAUSAL and NON-CAUSAL signals22:39

Introduction14:27
Z - Transform of basic signals5:02
Z - Transform ( ROC )3:12
Z-Transform of given signals5:44
Z-Transform of given signals12:47
Z-Transform of given signals22:34
Z-Transform of given signals35:45
Z-Transform of given signals45:02
Z-Transform of given signals54:16
Z-Transform of given signals63:17
Z-Transform of finite sequence5:44
Z-Transform of finite sequence 14:24
Z-Transform of sinusoidal signals6:10
Z-Transform of sinusoidal signals15:59
Scaling property of Z-Transform7:25
Time scaling property of Z-Transform5:37
Time shifting property of Z-Transform6:02
Time shifting property of Z-Transform(1)a9:57
Multiplication in time domain property of Z-Transform5:57
Time folding property of Z-Transform4:39
All properties of Z-Transform4:15
Problems on Z-Transform4:20
Problems on Z-Transform-12:41
Problems on Z-Transform-16:25
Z-Transform of given signals48:33
Inverse Z-Transform using long division method18:06

FFT Introduction17:35
Methods of FFT ( Radix-2 )11:16
DIT_FFT9:48
4-Point FFT ( Butterfly diagram )18:31
4-Point FFT Problem18:31
4-Point FFT Problem_113:38
4-Point FFT Problem_25:17
4- point- IDFT11:42
8 POINT DFT USING DIT-FFT21:55
8-POINT DIT-FFT_18:10
8-POINT DIT-FFT_212:46
Explore digital signal processing with an eight-point dit-fft walkthrough, detailing three stages, twiddle factors, and the role of additions, subtractions, and conjugates in final results.
8-POINT IDFT USING DIT-FFT8:41
8-POINT DIF-FFT14:29
8-POINT DIF-FFT-113:18
Assignment - 3
Assignment - 3.solutions

Requirements

Signals and systems, basic Mathematics

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.

Who this course is for:

GATE EC,EE,IN students
For all competitive exams
Academic students

Learn Digital Signal Processing - From Basics To Advance

What you'll learn

Explore related topics

Course content

Introduction8 lectures • 1hr 48min

CLASSIFICATION OF SIGNALS9 lectures • 2hr 3min

SYSTEMS9 lectures • 1hr 52min

Z - TRANSFORMS26 lectures • 2hr 38min

Convolution7 lectures • 1hr 42min

DISCRETE TIME FOURIER TRANSFORM(D.T.F.T)10 lectures • 2hr 8min

APPLICATIONS OF Z-TRANSFORMS AND DTFT4 lectures • 53min

REALIZATION OF DIGITAL SYSTEMS5 lectures • 1hr 6min

DISCRETE FOURIER TRANSFORM ( DFT )11 lectures • 2hr 12min

FAST FOURIER TRANSFORM ( FFT )16 lectures • 3hr 6min

Requirements

Description

Who this course is for: