- SIGNALS SPECTRA, AND SIGNAL PROCESSING
- 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.
- Probability and Statistics
- Advanced Engineering Mathematics
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:
Note: ADDING LESSON ON-PROGRESS . . .
credit: CMO 24 s2008©2013 www.PinoyBIX.org