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Digital Signal Processing - MATLAB Helper

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Overview

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This course introduces digital signal processing through MATLAB, covering discrete-time systems, convolution, Fourier transforms, IIR and FIR filter design, power spectral density, and sampling-rate reduction.

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

4.0 rating, based on 2 Class Central reviews

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  • Dinumi Muthunayaka
    I am thrilled to have completed this course! It was an incredibly rewarding experience that deepened my knowledge and sharpened my skills. The content was well-structured and engaging, with clear explanations and practical examples that made complex concepts easier to understand. The instructors were knowledgeable, approachable, and always ready to provide support when needed. I also appreciated the interactive elements and the opportunities for hands-on practice, which truly enhanced my learning. Overall, this course has been a fantastic investment in my personal and professional growth, and I feel more confident and equipped moving forward! Highly recommended!
  • 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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