ELEC 431_ Digital Signal Processing syllabus

Discrete-Time Signal Processing (2nd Edition) (Prentice-Hall Signal Processing Series)

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ELEC 431: Digital Signal Processing ELEC 431: Digital Signal Processing Course Overview Class meets MWF at 11AM in Duncan Hall 1046. Instructor Office Hours : Thursdays 1:30-3:30, Abercrombie A204. The course covers deterministic and stochastic discrete-time signal processing. One- dimensional and two-dimensional signals. Frequency- and time-domain techniques of filtering. Prerequisites: Elec 301 and 331. Course Outline Fundamentals One- and N -dimensional signals and systems Sampling theorem Discrete-time Fourier transform, discrete Fourier transform, fast Fourier transform z -transforms: stability and minimum phase signals/systems Linear filtering of signals Time domain: Difference equations and convolution
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Unformatted text preview: Impulse invariance, bilinear transform FIR filter design 2D filter design Statistical signal processing Stochastic signals: correlation functions and power density spectra Optimal filtering: Wiener filters Adaptive filters: LMS and array processing Wavelets Discrete wavelet transforms Filterbanks Denoising http://www.owlnet.rice.edu/~elec431/description.html (1 of 2) [2/11/2008 11:17:47 AM] ELEC 431: Digital Signal Processing Recommended Text Oppenheim, Schafer and Buck, Discrete-Time Signal Processing http://www.owlnet.rice.edu/~elec431/description.html (2 of 2) [2/11/2008 11:17:47 AM]...
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This note was uploaded on 02/11/2008 for the course ELEC 431 taught by Professor Abercrombie during the Spring '07 term at Rice.

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ELEC 431_ Digital Signal Processing syllabus - Impulse...

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