EC EN 487

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Introduction to Discrete-Time Signal Processing

Electrical and Computer Engineering Ira A. Fulton College of Engineering

Course Description

Digital signal processing, fast Fourier transforms, digital filter design, spectrum analysis. Applications in speech processing, SONAR, communications, etc.

When Taught

Winter

Min

4

Fixed

4

Fixed

3

Fixed

3

Title

Probability Theory

Learning Outcome

Ability to apply principles of probablity theory for analysis and numerical estimation of power spectral densities.

Title

DSP functions & Algorithms

Learning Outcome

Ability to use basic DSP functions and algorithms (i.e., FIR filters, IIR filters, polyphase systems, windows, FFTs, etc.) to formulate and solve engineering problems.

Title

Experiments

Learning Outcome

Ability to perform experiments with real-world signals and DSP systems, including discrete-time filters, spectrum analyzer, acoustic direction finding, etc.

Title

Tools

Learning Outcome

Ability to use software tools such as Matlab (R) to design, implement, and debug DSP functions.

Title

Application of Mathematics

Learning Outcome

Application of integral calculus, discrete math, and complex variables, and transform theory to discrete-time signal processing.