Subject: Signals Spectra, and Signal Processing

(Last Updated On: March 20, 2020)

Signals Spectra, and Signal Processing Lecture

Course Name

SIGNALS SPECTRA, AND SIGNAL PROCESSING

Course Description

Fourier transform; z transform; convolution; FIR filters; IIR filters; random signal analysis; correlation functions; DFT; FFT; spectral analysis; applications of signal processing to speech, image, etc.

Prerequisites:

Probability and Statistics
Advanced Engineering Mathematics

Course Objectives

Upon completion of the course, the student must be able to conceptualize, analyze and design signals, spectra and signal processing system.

Signals Spectra, and Signal Processing Course Outline

Following is the list of topics we will discuss in this course:

Signals Spectra, and Signal Processing

Note: ADDING LESSON ON-PROGRESS . . .

LESSON 1: ON-PROGRESS . . .

Suggested References

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