Dive into a comprehensive online course on Digital Signal Processing using MATLAB. Master key concepts including impulse response of discrete time systems, linear and circular convolution, discrete and fast Fourier transforms, and various filter designs such as Butterworth and Chebyshev using bilinear transformation and impulse invariance. Explore window methods for FIR filter design, power spectral density analysis, and sampling rate reduction techniques. Develop practical skills in implementing DSP algorithms and gain a deep understanding of signal processing principles through hands-on exercises in MATLAB.
Overview
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 ®
