Instructor:
Professor Chris Debrunner, Room 285 Brown Hall, 273-3678, cdebrunn@mines.edu
Office hours: Monday 4-5pm, Thursday 8-9am

Description:
This course introduces the engineering aspects of digital signal processing (DSP).  It deals with the theoretical foundations of DSP combined with applications and implementation technologies.  While the bulk of the course addresses one dimensional signals and emphasizes digital filters, there are extensions to specialized and contemporary topics such as sigma-delta conversion techniques. The course will be useful to all students who are concerned with information bearing signals and signal-processing in a wide variety of applications settings, including sensing, instrumentation, control, communications, signal interpretation and diagnostics, and imaging.


Text:    Oppenheim, Schafer, and Buck, Discrete-time signal processing, Prentice Hall, 1999, ISBN 0-13-754920-2.


Objectives:
The first objective of this course is to provide the students with the theoretical background to allow them to understand state of the art research in signal processing and to pursue research in this area. To this end, the course will cover transform techniques (including Fourier, Z, and cosine transforms), Fourier analysis (including time-varying Fourier analysis), filter design techniques, sampling and sample rate conversion, quantization, and round-off.
The second major objective of the course is to teach students to solve practical problems involving the processing of digital signals. In the in-class computer labs students will solve such problems selected from a variety of fields related to DSP.