ECEn 487, Introduction to Digital Signal Processing, Winter 2014
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.
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
Lecture Times: MWF 2:00-2:50 PM, Location 381 CB
Lab 001 Section: Th 3:00-6:00 PM, Location 490 CB
Lab 002 Section: F 3:00-6:00 PM, Location 490 CB
Dr. Brian Mazzeo
Office: 448 CB
Office Hours: M 10-11, M 3-4, F 10-11, or by appointment
Office: CAEDM Lab (4th Floor Clyde Building)
Office Hours: TBD
Discrete-Time Signal Processing, Third Edition
By Alan V. Oppenheim and Ronald W. Schafer
Prentice Hall, 2010