CSU, Chico Department of Electrical and Computer Engineering

EECE 465:Digital Signal Processing

Prerequisites:EECE 365 (may be taken concurrently).

Required for EE majors

Catalog Description: Properties of continuous and discrete signals. Z-transform and Fast-Fourier Transform. Digital filtering techniques. Finite word length effects on digital signal processing elements. Formerly ECE 297.

Course Objectives:

• learn transform-domain representations of discrete-time signals and systems
• study properties of and design finite impulse response (FIR) digital filters
• study properties of and design infinite impulse response (IIR) digital filters
• study properties of discrete-time systems

Course Outcomes:

Students shall be able to:

• calculate the frequency response, determine the transfer function and the difference equation of a discrete-time system
• calculate the convolution of two discrete sequences
• analyze sampling aspect
• calculate z-transform or inverse-z transform of a discrete sequence
• calculate the DFT or inverse DFT of a discrete sequence
• determine the properties (linearity, time-invariance, stability and causality) of a discrete-time system
• derive a canonic form realization of a digital filter

Students shall be able to design:

• finite impulse response (FIR) digital filters using the window method
• infinite impulse response (IIR) digital filters using the bilinear transformation

Students shall be able to use a software package to:

• plot magnitude response of a discrete-time system
• analyze discrete-time signals and design digital filters

Students shall know how to implement a digital filter using a DSP module.

Class/Laboratory schedule:

• One hundred minutes a week lecture
• One hundred minutes a week laboratory

Contribution of Course to Meet the Professional Component:

• Engineering Science: 3 units

Relationship of Course to Program Outcomes and Objective:

This course makes significant contributions the following program outcomes:

• An ability to apply knowledge of math, science and engineering
• An ability to design and conduct experiments as well as to analyze and interpret data

This course supports the achievement of the following elements of the program objective:

• Apply knowledge of mathematics, science, and engineering to identify, formulate, and solve computer engineering problems
• Use industry standard tools to analyze, design, develop and test computer-based systems containing both hardware and software components.
• Achieve success in graduate programs in computer engineering, electrical engineering or computer science.
• Continue to develop their knowledge and skills after graduation in order to succeed personally and contribute to employer success.

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