Digital Signal Processing | RPI Course

RPI

Comprehensive course on digital signal processing principles and techniques, with detailed lectures, MATLAB code, and Cody coursework.

University CoursesComputer VisionMatlab

Introduction

These lectures were recorded from Fall 2014's offering of ECSE-4530 at Rensselaer Polytechnic Institute. They loosely accompany Digital Signal Processing (4th Edition), by Proakis and Manolakis published by Prentice Hall in 2006.

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Highlights

Covers a wide range of topics in digital signal processing, including discrete-time signals, linear time-invariant systems, Fourier analysis, z-transform, discrete Fourier transform, filter design, and adaptive filtering.
Provides annotated course lectures with detailed explanations and examples.
Includes supplementary materials such as MATLAB code and Cody coursework.

Recommendation

This course is recommended for students and professionals interested in gaining a comprehensive understanding of digital signal processing principles and techniques. It is suitable for those with a background in electrical engineering, computer science, or a related field.

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