In EECS 20, you'll perform experiments with sampled speech, music, and image signals to gain experience in analyzing, enhancing, and performing real-time processing on them. You'll learn about Fourier analysis as the key mathematical technique to unlock the make-up of a signal, and see its usefulness in practice. You will also build signal processing algorithms using visual, interpreted, and assembly programming languages. Throughout the course, you build up the expertise to choose an algorithm from among a collection of equivalent algorithms to perform a signal processing task in real-time on a specific computer architecture.
The course contains both lecture and laboratory components, but stresses laboratories. The laboratory sessions will begin with a series of MATLAB exercises, in which you'll construct signal processing systems by connecting pre-programmed blocks together to process signals "off-line". Then, the laboratory will delve into the fast-paced world of real-time signal processing, in which signal processing operations must be performed quickly and efficiently. These laboratory exercises will give you hands-on experience in issues facing designers of signal processing, communications, and controls systems. You'll revisit many of the topics in courses such as
This two-unit class consists of a lecture and a laboratory component. Lecture lasts one hour per week and laboratory discussion lasts one hour per week. For the Spring 1997 semester, the course control numbers are 23542 for the lecture, 23545 for the discussion session, and 23548 for the laboratories:
Laboratory investigations include the processing of digitized music, audio, speech, and images. The laboratories will be split between simulation in MATLAB and real-time implementation on a Texas Instruments C50 digital signal processing board. Interaction with MATLAB takes place by issuing a series of interpreted textual commands. Interaction with the C50 board requires programming in assembly language which gets assembled in a binary program on the PC and downloaded onto the C50 board.
This class is taken on a pass-fail basis with grades determined by an equal weighting of
Instructors
Prof. Edward A. Lee,
eal@eecs.berkeley.edu,
642-0455
Prof. Ljiljana Trajkovic,
ljilja@eecs.berkeley.edu,
643-8351
Prof. Shankar Sastry,
sastry@eecs.berkeley.edu,
642-1857
Teaching Assistants
Gene Cheung
gcheung@eecs.berkeley.edu
Additional Staff
Ferenc L. Kovac
H. John Reekie
EECS 20 was offered for the first time in Spring 1996.
Teaching Staff:
Kenneth H. Chiang,
Brian L. Evans,
William T. Huang,
Ferenc Kovac,
Edward A. Lee,
David G. Messerschmitt,
H. John Reekie, and
Shankar S. Sastry
We are requiring that you purchase the following MATLAB book:
Each personal computer in the laboratory will be stocked with the following books:
This laboratory course is geared for sophomores, and initially, the enrollment will be restricted to 24 students.