ELEC 310 Digital Signal Processing: I
COURSE OBJECTIVES
Generation of discrete-time signals through the sampling process
and their spectral representation. Mathmatical representation and
properties of digital signal processing (DSP) systems. Typical DSP
systems, e.g., digital filters, and applications. The z transform
and its relation to the Laurent series. Evaluation of the inverse
z transform using complex series and contour integrals.
Application of the z transform for representation and analysis of
DSP systems. The processing of continuous time signals using DSP
systems. The discrete-Fourier transform and the use of fast
Fourier transforms for its evaluation. Introduction to the design
of DSP systems.
Prerequisites: ELEC 255 System Dynamics or ELEC 260 Signal
Analysis.
TEXTBOOKS
Discrete-Time Signal Processing,
A. Oppenheim and R. Schafer, 2005.
COURSE ASSESSMENT
Assignments: 25% and Midterms: 75%.
COURSE HOMEPAGE FOR REGISTERED STUDENTS
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