# ECEn 487, Introduction to Digital Signal Processing, Winter 2013

Welcome to 487! It is going to be a great semester!

This exciting course is about understanding digital signal processing and being able to apply digital signal processing to solve problems in many different contexts such as radar, sonar, and communications.

## Course Outcomes

Ability to apply principles of probablity theory for analysis and numerical estimation of power spectral densities.
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.
Ability to perform experiments with real-world signals and DSP systems, including discrete-time filters, spectrum analyzer, acoustic direction finding, etc.
Ability to use software tools such as Matlab (R) to design, implement, and debug DSP functions.
Application of integral calculus, discrete math, and complex variables, and transform theory to discrete-time signal processing.
Prerequisites: ECEn 370, 380

## Class

Lecture Times: MWF 2:00-2:50 PM, Location 392 CB

~~Lab 001 Section: M 3:00-6:00 PM, Location 490 CB~~

Lab 002 Section: F 3:00-6:00 PM, Location 490 CB

## Instructor Contact

Dr. Brian Mazzeo

Phone: 801-422-1240

E-mail: bmazzeo@ee.byu.edu

Office: 448 CB

Office Hours: T 2-4, W 3-4

## TA Contact

Peter Jepsen

E-mail: jepsenp@gmail.com

Office: CAEDM Lab (4th Floor Clyde Building)
Office Hours: T 4-8, Th 3-5

## Materials

Required Text:

*Discrete-Time Signal Processing, Third Edition*

By Alan V. Oppenheim and Ronald W. Schafer

ISBN: 978-0-13-198842-2

Prentice Hall, 2010

Syllabus