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
credit: CMO 24 s2008©2013 www.PinoyBIX.org
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