Retro prof-type at desk University of Washington Computer Science & Engineering
 CSE490G: Introduction to Data Compression
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Current Quarter
 Winter, 2006  (Ladner)
Prerequisites
 CSE 143
Previous Quarters
 Winter, 2004  (Ladner)
 Winter, 2002  (Ladner)
    Description: Basic information theory: entropy. Lossless data compression techniques: Huffman coding, arithmetic coding, and dictionary methods. Use of context, structure, and prediction to improve compression. Basic signal processing: Fourier and discrete cosine transforms, wavelet transforms, quantization. Fidelity and distortion metrics, rate-distortion analysis. Image compression: vector quantization, DCT coding, wavelet coding. Video compression: motion compensation and prediction. Audio compression. Image, video, and audio compression standards.

(Formerly CSE490GZ.)
Prerequisites: CSE 143 and one of 326 or 373.
Credits: 5


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