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EECE
545: Signal Compression |
Administrative Information - Fall 1999
- Instructors:
- Class hours: Thursday, 5:30-8:30 PM, Room MCLD
410.
Course Outline
- Introduction (1 week)
- Why compression?
- Compression techniques: lossless and lossy
- Data and signal types: computer files, text, speech,
image, video
- Applications: telephony, facsimile, CD-ROM, digital TV,
WWW
- Lossless Compression (3 weeks)
- Information theory: Basic concepts
- Minimum redundancy coding: Huffman coding
- Arithmetic coding
- Modeling: pdf, prediction
- Dictionary techniques
- Lossy Compression (5 weeks)
- Rate-distortion theory
- Distortion: Auditory perception, HVS, mathematical
measures
- Scalar quantization
- Vector quantization, structures
- Predictive coding
- Transform coding
- Subband/wavelet coding
- Analysis/synthesis and modeling techniques
- Motion estimation/compensation
- Applications (3 weeks)
- Requirements: compression, quality, complexity, delay,
sensitivity
- Standards: LZW, G.722, G3/G4, JBIG, JPEG, H.261/H.263,
MPEG
Number of Lecture
Hours: 3-0-0
Text: Introduction to Data
Compression, by K. Sayood.
Grading
- Homework: 10%
- Midterm exam 1: 30%
- Midterm exam 2: 30%
- Project: 30% (10% presentation, 10% demo, 10% written
report).
Course schedule:
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Exams |
Homework |
Project |
16 Sep Lecture 1 |
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23 Sep Lecture 2 |
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30 Sep Lecture 3 |
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7 Oct Lecture 4 |
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14 Oct Lecture 5 |
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Hw #1 due 18 Oct in my office. Solutions
available Oct 19. |
Written project proposal due with Hw
#1. |
21 Oct Lecture 6 |
Quiz #1 |
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28 Oct Lecture 7 |
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4 Nov Lecture 8 |
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11 Nov Remembrance Day |
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18 Nov Lecture 9 |
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25 Nov Lecture 10 |
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Hw #2 due. |
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2 Nov Lecture 11 |
Quiz #2 |
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6 Dec |
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Project presentations. Written reports
due. |
Miscellaneous
A Mathematical
Theory of Communication by Claude E. Shannon.
Fall 1999 Project Presentations
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