EE225a - Digital Signal Processing - Spring 2001

Seventh problem set: (due Tuesday 5/8)

• Do problem set #7.

Fifth lab assignment: (due Tuesday 5/1)

• Lab 1.5 - Spectral Estimation

Sixth problem set: (due Tuesday 4/24)

• Do problem set #6.

Fourth lab assignment: (due Tuesday 4/17)

• Download the 1.0 release of Ptolemy II.
• Lab 1.4 - ADPCM speech coding

Fifth problem set: (due Tuesday 4/10)

• Do problem set #5.

Historical assignments

First assignment: (due Tuesday 2/6)

• Read Chapters 1 and 2 of Manolakis, Ingle, Kogon.
• Alternative: Read Introduction and Chapter 1 of Haykin.
• Read Sections 1-5 of the Supplementary Notes.
• Do problem set #1.

First lab assignment: (due Tuesday, 2/13)

Helpful pointers:

• Ptolemy II software: download
• Using Vergil tutorial
• Expressions tutorial
• SDF tutorial

• Lab 1.1 - Whitening Filters

Tutorial on Ptolemy Software:

• Main session: Tuesday, 2/6, 4-5pm, Hogan Room (531), Cory Hall.
• Alternate session (limited capacity): Tuesday, 2/6, 10-11am, 337 Cory.

Second problem set: (due Tuesday 2/20)

• Do problem set #2.

Second lab assignment: (due Tuesday, 2/27)

• Download the Ptolemy II Ptiny version beta2. This version has a couple of new actors that you will find very helpful. You can uninstall the previous Ptiny version (in Windows, use the Add/Remove Programs control panel). Unix users will need to download the full version of beta2.
• Lab 1.2 - Wiener Filtering

Third problem set: (due Tuesday 3/6)

• Do problem set #3.

Fourth problem set: (due Tuesday 3/20)

• Do problem set #4.

Third lab assignment: (due Thursday, 3/22)

• Lab 1.3 - Adaptive Filtering

Course Description

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, beam forming, neural nets, and linear prediction.

Lecturer

• Prof. Edward A. Lee
• email: eal@eecs.berkeley.edu
• web: http://www.eecs.berkeley.edu/~eal
• Office: 518 Cory Hall, 642-0455
• Office Hours: Tuesday and Thursday, 1-2, and by appointment (send email)

Teaching Assistant

• Steve Nuenedorffer
• email: neuendor@eecs.berkeley.edu

Lectures

• TuTh 2-3:30, 241 Cory

Prerequisite

• EE123 and EE126 or solid background in stochastic processes

Text

The following text is strongly recommended:

• Manolakis, Ingle, and Kogon Statistical and Adaptive Signal Processing, McGraw-Hill, 2000.
  

• Simon Haykin, Adaptive Filter Theory, 3d edition, Prentice-Hall, 1996.
  NOTE: We will not follow this text very closely, but it is the most suitable reference, and we will assign problems from it sometimes.

References for Background

Basic Signal Processing

• Oppenheim and Shafer, Discrete-Time Signal Processing, Prentice-Hall, 1989

Stochastic Processes

• H. Stark and J. W. Woods, Probability, Random Processes, and Estimation Theory for Engineers, Prentice-Hall, 1986.
• A. Papoulis, Probability, Random Variables, and Stochastic Processes, McGraw Hill, 1965. (Note: Very little on discrete-time models in here)

Stochastic Signal Processing

• Peter M. Clarkson, Optimal and Adaptive Signal Processing, CRC Press, 1993.
• B. Picinbono, Random Signals and Systems, Prentice-Hall, 1993
• Zelniker and Taylor, Advanced Digital Signal Processing, Marcel Dekker, 1994
• C. Therrien, Discrete Random Signals and Statistical Signal Processing, P-H, 1992
• Kay, Modern Spectral Estimation, Prentice-Hall, 1988

Topics

• Advanced Z-transform properties
• Power spectrum and spectral factorization
• Innovations process, whitening filters, Wiener filters
• Echo cancellation, linear equalization, noise cancellation
• LMS adaptive filters, decision-directed equalization
• Linear prediction, and LPC
• Lattice filters
• Levinson-Durbin and Burg's algorithms
• Spectral estimation
• Discrete Karhunen Loeve expansions
• Singular-value decomposition
• Kalman filtering (time permitting)
• Beam forming (time permitting)
• Neural nets (time permitting)

Problem sets

• Issued approximately every two weeks, due two weeks later.

Lab experiments

• Ptolemy experiments will be assigned approximately every two weeks.

Grading

The grade will be based on the final exam (40%), the midterm (30%), and the homework and labs (15% each).

Exams

• Midterm, TBA
• Final, 5/11/01, 12:30-3:30