CENG 5431 Digital Signal Processing

 

 

COURSE:                          CENG 5431 Spring

M-W

 

INSTRUCTOR:                   Dr. Thomas L. Harman

 

OFFICE:                           D104   Phone: (281) 283-3774

 

OFFICE HOURS:                 (Check lab D125 or office)

 

PREREQUISITES:                Graduate standing

 

DESCRIPTION:                   This course will cover the fundamentals of Digital Signal Processing using MATLAB as the software for selected homework.

                                      We will first cover data acquisition system design and then explore digital systems and the design of digital filters.

 

TEXT:                              The textbook Analog and Digital Signal Processing by Ambardar is a readable text to introduce analog and digital

signal processing. There will be other handouts in class.

 

COURSE FORMAT:             The course presentations will be mainly lectures. In addition to regular homework and examinations, problem solutions

                                      and plots using the MATLAB software are required. 

 

                                      Reference: Advanced Engineering Mathematics Using MATLAB, by Harman, et. al., PWS (Brooks Cole)

 

GRADING:                        The grading and will be discussed in class

 

 

The homework will consist of problems of an analytical nature.  The programs and plots are to be done using MATLAB

unless other arrangements are made to use another software package (i.e. Maple, etc.). 

 

          Dates for examinations, etc. will be discussed in class.

 

 

 

 

CENG 5431 Spring Brief Course Outline

 

Digital Signal Processing Dr. T. L. Harman

 

 

Introduction                                                 Data Acquisition Systems and Analog Filters

 

Sampling and Quantization                           Sampling, aliasing, and reconstruction            

 

Spectrum Analysis and DFT                           Brief review

 

Discrete Equations                                       Applications to signal processing

and z transforms

 

IIR filters                                                      Design methods

 

FIR Filters                                                    Design methods

 

MATLAB Examples                                        The Signal Processing Toolbox

 

Practical Examples                                       DSP and audio; DSP and control, etc.

 

 

(Note: MATLAB will be used throughout the course for verifying computed results and plotting.)

 

 

 

Downloads:                      Example1