ECE-S 433

    DREXEL UNIVERSITY
    Department of Electrical and Computer Engineering
     
    ECE-S 433 DIGITAL SIGNAL PROCESSING III
    SPRING 1998

    INSTRUCTORS

    Prof. Fernand Cohen, Rm. 7-126, Tel. x1420, e-mail: fscohen@cbis.ece.drexel.edu
    Prof. Athina Petropulu, Rm. 7-221, Tel. x2358, e-mail: athina@cbis.ece.drexel.edu
     

    TEACHING ASSISTANT
     
    Georgia Georgiou, Rm. 7-104, Tel. x2174, e-mail: ggeo@cbis.ece.drexel.edu
     

    CLASS SCHEDULE

    Lectures: MON&WED 12:00-12:50 RM 7-308
    Recitations: FRI 12:00-12:50 RM 7-403
     

    TEXT/REFERENCES

    Class  Notes
    John G. Proakis and Dimitris G. Manolakis, Digital Signal Processing [Second Edition], Upper
    Saddle River, NJ: Prentice Hall Co, 1996.
    J.R. Deller, Jr., J.G. Proakis, J.H.L. Hansen, Discrete-time processing of speech signals, Macmillan, 1993.
    A.K. Jain, Fundamentals of Digital Image Processing, Prentice Hall 1989.
     

    GRADING POLICY

    Projects: 50%
    Homework: 25%
    Quizzes: 25%

    Late assignments will not be accepted.
    Projects will be assigned according to the schedule given in Course Description. They will be based on material covered in class and lab/recitation  sessions, and could be implemented in the Multimedia Signal Processing Laboratory (Rm 7-403).

    Homework will be assigned periodically.
    Solutions will be provided on the homework due date.

    There will be a weekly  7 mins quiz to be held every Friday during recitation time. The lowest two quiz grades will be omitted. No make-ups will be given.

    Please note:
    Copying homework, project, or quiz from someone else, or allowing someone else to copy for your own, is considered to be cheating. Any students cheating will receive a zero. In addition, the ECE Department Committee on Cheating will be notified and the student will be referred to the committee chair for further action.
     

TENTATIVE COURSE OUTLINE

    PART1:  Speech Processing (A.P. Petropulu)

    Speech Production and Modeling (1 week)
    anatomy of the speech production system; phonemics/phonetics; acoustic theory of speech production; discrete time modeling

    Speech Analysis (2 weeks)
    short-term processing; linear prediction and  applications on pitch estimation,
    formant estimation; cepstral analysis and applications to recognition.

    Project I: Model your vocal tract and use your model to synthesize speech.

    Coding (1 week)
    time-domain coding; frequency-domain coding
    Recognition (1 week)
    speaker independent vs speaker dependent;  speaker recognition; speaker verification

    Project II: Design a voice operated door unlocking system
     

    PART2:  Image Modeling and  Recognition (F.S. Cohen)

    Edge detection (1 week ) -- Computer Assignment I;
    Boundary representation and shape recognition (1 week);
    Moments, invariants, and shape recognition (1 week) -- Computer Assignment II;
    Texture representation  and shape from texture (1 week) -- Computer Assignment III;
    Shape Estimation from Stereo, Motion and Object Tracking (1 week).