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525.427 - Digital Signal Processing Course Homepage

Instructor Information

Hollis Ambrose

Email: hollis.ambrose@jhuapl.edu
Work Phone: (443) 778-4098

Course Information

Course Description

Basic concepts of discrete linear shift-invariant systems are emphasized, including sampling, quantization, and reconstruction of analog signals. Extensive coverage of the Z-transform, discrete Fourier transform, and fast Fourier transform is given. An overview of digital filter design includes discussion of impulse invariance, bilinear transform, and window functions. Filter structures, finite length register effects, roundoff noise, and limit cycles in discrete-time digital systems are also covered.

Prerequisites

A working knowledge of Fourier and Laplace transforms.

Course Goal

Basic concepts of discrete linear shift-invariant systems are emphasized, including sampling, quantization, and reconstruction of analog signals. Extensive coverage of the z-transform, discrete Fourier transform, and fast Fourier transform is given. An overview of digital filter design includes discussion of impulse invariance, bilinear transform, and window functions. Filter structures, finite length register effects, roundoff noise, and limit cycles in discrete-time digital systems are also covered.

Course Objectives

  • Understand discrete-time systems: stability, linearity, time-invariance, etc.
  • Understand the z-transform.
  • Apply the z-transform to the design of digital filters.

When This Course is Typically Offered

Syllabus

Topics Covered

  • Frequency in Continuous-Time and Discrete-Time Signals
  • Discrete-Time Signals, Discrete-Time Systems
  • The z-Transform
  • Analysis of LTI Systems in the z-Domain
  • Properties of the Fourier Transform for Discrete-Time Signals
  • Frequency-Domain Characteristics of LTI Systems
  • Frequency Analysis of Signals Using the DFT
  • FFT Algorithms
  • Structures for FIR Systems
  • Structures for IIR Systems
  • Design of FIR Filters
  • Design of IIR Filters
  • Multirate Digital Signal Processing
  • Power Spectral Estimation

Student Assessment Criteria

Test 1 20%
Test 2 20%
Homework 25%
Final Exam 35%

Textbooks

Textbook information for this course is available online through the MBS Direct Virtual Bookstore.

Course Notes

There are notes for this course.

(Last Modified: 07-22-2008 at 11:07:57 AM)