Department of Electrical Engineering

EE114: Introduction to Speech and Image Processing

Winter 1997

Lecturers: Course Secretaries:
Professor Abeer Alwan
Room 66-147E, Engr. IV
Telephone: 206-2231
email: alwan@icsl.ucla.edu
Ms. Kay Rogowski
Room 66-127DD, Engr. IV
Telephone: 206-4304
Dr. Wayne Walker
Room 66-144 Engr. IV
Telephone: 206-4237
Ms. Cheryl Childress
Room 66-127BB, Engr. IV
Telephone: 206-1668

Teaching Assistant:
Brian Strope


M, W, F: 11-11:50 a.m.

Boelter Hall 2760

Course Description:

EE114 is mainly concerned with applications of Digital Signal Processing in the areas of Speech and Image Processing. In the first part of the course, Prof. Alwan will discuss speech and hearing-related issues. The second half of the course will be taught by Dr. Walker and will cover two-dimensional signal and image processing.


The prerequisite for EE114 is a good understanding of linear systems and the fundamentals of Digital Signal Processing (EE102, EE113).


Homework and computer assignments will be distributed and collected every week. The assignments are vital aspects of the course and must be handed in by the due date. The speech computer assignments should be done in 4405 BH (computers there are equipped with sound cards). For these computer assignments, we recommend that you work in groups of two. The image-processing computer assignments will be done in the seasnet x-term lab. (6270 BH).

Office Hours:


Textbook (required):

Course notes for EE114 are available at the ASUCLA Bookstore.


Homework assignments, graded homeworks, and other handouts not picked up during lectures can be found outside Prof. Alwan's office (66-147E Engr. IV) during the first half of the quarter and outside Dr. Walker's office (66-144 Engr. IV) during the second half of the quarter.

Exams and Grading:

The midterm exam will be given on February 7th. The final exam will be given on March 14th. Final grades will be determined according to the following weights:

Course Outline:

Speech Processing (1/6-2/7): Image Processing (2/10-3/14):
  • Sound generation and propagation in the vocal tract
  • Digital models of the vocal tract
  • Acoustic properties and parametric representations of the speech signal
  • Short-Time Fourier Transform (STFT)
  • Linear-Predictive Coding (LPC)
  • Models of the auditory system
  • Two-dimensional discrete signal concepts
  • The 2D Fourier transform
  • Sampling and reconstruction in 2D
  • Two-dimensional filtering
  • Edge detection and enhancement
  • Pixel operations including histogram equalization and contrast modification