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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.

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 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

    Instructor Contact

    Dr. Brian Mazzeo
    Phone: 801-422-1240
    E-mail: bmazzeo@ee.byu.edu
    Office: 448 CB
    Office Hours: M 10-11, M 3-4, F 10-11, or by appointment

    TA Contact

    Joshua Smith
    Joshua Smith
    E-mail: TBD
    Office: CAEDM Lab (4th Floor Clyde Building) Office Hours: TBD

    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

    Maintained by ECEn IMMERSE Web Team.
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