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Digital Signal Processing - MATLAB Helper

via YouTube

Overview

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This online course on Digital Signal Processing aims to help learners realize their passion for DSP in MATLAB. By the end of the course, students will be able to understand the impulse response of discrete-time systems, perform linear and circular convolutions, implement discrete and fast Fourier transforms, design Butterworth and Chebyshev filters using different techniques, apply the window method for FIR filter design, analyze power spectral density of signals, and employ sampling rate reduction techniques. The course utilizes MATLAB as a tool for practical implementation. The intended audience for this course includes individuals interested in digital signal processing, MATLAB enthusiasts, and students looking to enhance their skills in DSP.

Syllabus

Introduction to Digital Signal Processing Course | MATLAB Helper ®.
Impulse Response of Discrete Time System | DSP | MATLAB Helper.
Linear and Circular Convolution | DSP | MATLAB Helper.
Discrete & Fast Fourier Transform | DSP | MATLAB Helper.
Butterworth IIR filter using Bilinear Transformation | DSP | MATLAB Helper.
Chebyshev filter using Bilinear Transformation | DSP | MATLAB Helper.
Butterworth IIR filter using Impulse Invariance | DSP | MATLAB Helper.
Chebyshev filter using Impulse Invariance | DSP | MATLAB Helper.
Window Method for FIR Filter Design | DSP | MATLAB Helper.
Power Spectral Density of a Signal | DSP | MATLAB Helper.
Sampling Rate Reduction Techniques | DSP | MATLAB Helper.

Taught by

MATLAB Helper ®

Reviews

3.0 rating, based on 1 Class Central review

Start your review of Digital Signal Processing - MATLAB Helper

  • Pratiksha Suryawanshi
    It is good and very easy to understand the concept of the MATLAB platform. It is very useful for doing the study of Digital Signal Processing

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