CSU, Chico Department of Electrical and Computer Engineering

EECE 669: Topics in Digital Signal Processing

Prerequisites: EECE 465

Elective

Catalog Description: Study of selected topics in the area of digital signal processing such as computer aided filter design, two-dimentional signal processing, DSP chips, and pattern recognition. Other topics include material in recently published journals and research projects of department faculty. You may take this course more than once for a maximum of 8.0 units. Formerly ECE 330.

Course Objectives:

• teach computer-aided design of FIR and IIR filters
• understand linear convolution using overlap-add and overlap-save methods
• introduce multirate signal processing
• introduce power spectral estimation
• introduce spectrum analysis
• teach students to analyze and design two-dimensional digital filters

Course Outcomes:

Students shall be able to:

• design one-dimensional FIR and IIR filters using various methods
• explain the principles of multirate signal processing
• calculate the convolution using overlap-add or overlap-save method
• analyze adaptive filters, perform spectrum estimation
• calculate cepstrum coefficients
• design and analyze two-dimensional digital filters

Class/Laboratory schedule:

• One hundred and fifty minutes a week lecture

Contribution of Course to Meet the Professional Component:

• Engineering Science: 1.5 units
• Engineering Design: 1.5 unit

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
• An ability to design a system, component, or process to meet desired needs
• An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice

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.

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