ECE53800 - Digital Signal Processing I

Fall 2017

Days/Time: MWF / 12:30-1:20 pm
Credit Hours: 3

Learning Objective:
To provide the student with a broad, yet strong background in techniques for processing digital signals for purposes of information transmission, information extraction, information compression, audio enhancement, noise suppression, interface compatibility, and error correction.

Theory and algorithms for processing deterministic and stochastic signals. Topics include sampling theory, discrete-time signals, systems, and transforms, digital filtering, spectrum estimation, autoregressive modeling, efficient sampling rate alteration, perfect reconstruction filter banks, transmultiplexers, and Minimum Mean Square Error Estimation. Applications emphasized throughout including CD/DVD players, radar, digital communications, and audio compression.

Topics Covered:
Review: Discrete-Time Signals, Systems & Transforms; Basic Sampling Theory and D/A Conversion; Z Transform; Discrete-Time Fourier Transform; Frequency Selective Linear Filtering; Sampling and Reconstruction; Multirate DSP; Applications to CD/DVD Players, Radar, Digital Communications, and Audio Compression; Digital Filter Design; Fast Fourier Transform Algorithms; Nonparametric methods of power spectrum estimation; Model-Based Spectrum Estimation; Autoregressive (AR) Modelling; Forward/Backward Linear Prediction,Levinson-Durbin Algorithm; Minimum Variance Method; Eigenstructure Methods; Perfect Reconstruction Filter Banks.

Undergraduate knowledge of: continuous-time signals and systems, Fourier transform theory, and linear algebra (basic concepts).

Applied/Theory: 50/50

Web Address:

Web Content:
All class notes, past exams plus solutions, solutions to homeworks, and Matlab demos will be on the web site.

Three homeworks involving the use of Matlab software package, plus bi-weekly assignments not collected but solutions posted on web.


Three fifty-minute exams and one two hour final exam.

Required--J.G. Proakis and D.G. Manolakis, "Digital Signal Processing: Principles, Algorithms, and Applications," 4th ed., Prentice-Hall, NJ, 2006, ISBN 0-13-187374-1. Disclaimer: final textbook listings are available in April for fall and summer semesters. Please visit the Listing of Textbooks by College or School for the most up-to-date information.

Computer Requirements:
ProEd minimum computer requirements; student version of Matlab.

ProEd Minimum Requirements:

Tuition & Fees: view

Other Requirements:


Michael D. Zoltowski
Purdue University
Electrical Engineering Bldg
465 Northwestern Ave
West Lafayette, IN 47907-2035
Instructor HomePage

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