EECS 225A Spring 2006

schedule (project presentations), announcements, resources

Catalog description


225A.  Digital Signal Processing. (3)   Three hours of lecture per week. Prerequisites: 123 and 126 or solid background in stochastic processes. Advanced techniques in signal processing. Stochastic signal processing, parametric statistical signal models, and adaptive filtering. Application to spectral estimation, speech and audio coding, adaptive equalization, noise cancellation, echo cancellation, and linear prediction.



Monson H. Hayes, Statistical Digital Signal Processing and Modeling, Wiley, 1996 (ISBN 0471594318) [homepage]


In addition, various resources (Web and handouts) will be used to supplement the text.

Course Topics


With signal processing becoming ubiquitous in today's computer literate world, a large number of application areas are growing in importance, both in industry and in the research community, such as seismic signal processing, speech data processing, medical image processing, radar signal processing, and sensor array processing. These problems have many different aspects, and a corresponding number of different solutions have been explored.


Signal Models (7 lectures)


Signal Representation and Approximation (8 lectures)


Signals, Systems, Noise (14 lectures)

  • Estimation Theory (Wiener, Kalman, Adaptive, Neural networks...)
  • Detection Theory (Neyman-Pearson, etc)
  • System Identification




Michael Gastpar [homepage]

265 Cory Hall

Office hours: Wed 3-4, Thu 11-12

Email: gastpar

Student responsibilities


Please read the course announcements often. If it is posted there, you are presumed to have been informed about it. See the announcements for reading and homework assignments. The schedule includes important deadlines, such as exams and project due dates.


Students are also reminded of the Departmental Policy on Academic Dishonesty and are also urged to also read and abide by the professional ethics represented in the IEEE Code of Ethics. Especially relevant in the latter are the two guidelines:




The components of the course will be weighted as follows in the final grade. The final grades will be set by matching a curve to the final course averages.












80 minute open-book exam.


Final Exam




80 minute open-book exam.


Literature project




In small groups (1-3 students), you will select a subarea of the class and explore the related literature. You will select around 5 papers and discuss and extend their contributions in a short report.



Important Dates



Date and time





March 21 @ 2-3:30


299 Cory Hall


Final Exam


May 12 @ 12:30-3:30




Project Proposals


March 8 @ midnight




Project Final Report



May 3 @ midnight





This web page is mostly drawn from the web page of Prof. D. G. Messerschmitt (Spring 2005).