EE 436 - Digital Signal Processing : Theory, Application and Implementation
1997-1999 EE 436-4. Digital Signal Processing. Theory, Application and implementation. Introduc- Catalog Data tion to the principles and applications of digital signal processing (DSP) from the design and implementation perspective. Major topics include: analog-to-digital / digital-to-analog converters and digital filters, Fourier analysis algorithms, and real-time applications all implemented on a TMS320C30 floating point DSP chip. Prerequisites: EE 322, CEG 220.
Textbook Orfanidis, Introduction to Signal Processing, PH Supplemental materials from TI and Instructor.
Coordinator Kefu Xue, Associate Professor, Electrical Engineering
Topical Each student should: Prerequisites have basic C programming skills and know how to handle "pointer" understand sampling theory and be able to apply sampling theory to typical signals such as real and complex sinusoidal be able to apply and solve linear, time invariant, discrete-time system problems using difference equation and linear convolution sum understand the discrete-time system (difference equation and transfer function) realizations in direct I, direct II and transposed direct II forms understand Z-transform and be able to apply Z-transform to solve discrete-time signal and system problems understand Fourier transform of discrete-time signal (DtFT) and discrete Fourier transform (DFT) be able to design parameters for frequency analysis of signals and systems using FFT (windowing, zero padding, frequency resolution, sampling frequency, etc.) understand poles and zeros of a system and their relationship with frequency response of the system be able to design a FIR filter using window method (an introduction) Learning For each student to: Objectives be able to implement digital filter in real-time using digital signal processor understand and be able to use application development software and hardware platforms for real-time signal processing understand principles and methods of analog to digital and digital to analog conversions understand numerical representations and quantization errors of digital signal understand and implement arbitrary signal generators using digital signal processor understand advantages and disadvantages of various digital filter implementation methods (direct, parallel, cascade and lattice realizations) be able to design FIR digital filters using window, frequency sampling, and optimal methods to meet specifications be able to design IIR digital filters using frequency transform method to meet specifications understand fast Fourier transform (FFT) and its applications able to propose, design and implement an independent DSP project
Laboratory FIR filter design and implementation, Fourier spectrum analysis, multirate filter design and implementation, and independent design projects.
Computer Use Students will use MATLAB to conduct filter design, prototype system analysis and simulation. C and TMS320C30 assembly code will be used in the laboratory projects.
Estimated ABET Engineering Science 2.0 or 50% Category Content Engineering Design 2.0 or 50% 041499 |