EC EN 487
Download as PDF
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.
