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Course Instructor: Monson H. Hayes
Office Hours: To be announced
Textbook: A.V. Oppenhein and R.W. Schafer, Discrete-Time Signal Processing, Prentice-Hall.
Optional Reference: M.H. Hayes, Schaum's Outline on Digital Signal Processing, McGraw-Hill, 1999.

There are no pre-requisites for this course, just a desire to learn, to work hard, and to think independently.

Course Objectives:

  1. To develop methods for processing discrete-time signals.   These signals include waveforms that originate as discrete-time signals as well as those that originate from sampling continuous-time signals.
  2. To understand the processes of A-D and D-A conversion. 
  3. To acquire some familiarity with digital filters in terms design and implementation and to become familiar with how various types of filters affect signal characteristics.
  4. To understand the discrete Fourier transform and discrete spectral analysis.
  5. To become familiar with some applications of digital processing.  Topics may include speech processing, image processing, multidimensional digital signal processing, adaptive filtering, spectrum estimation, and adaptive filtering.

Course Requirements:
Weekly Homework with Matlab projects.
Midterm plus a Final Exam.

Click Here for PDF of Syllabus