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2009-2010 University Catalog
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ECE 735 - Data CompressionCredits: 3
Cross-Listed with IT 832
In-depth study of lossy data compression techniques based on vector quantization with application to speech, image, and video signals. Covers vector quantization of signal’s waveform and commonly used parametric statistical models such as the autoregressive model. Topics include scalar and predictive quantization, transform and entropy coding, and variations on basic vector quantization such as constrained vector and variable rate vector quantization.
Prerequisites
ECE 528 or permission of instructor.
Hours of Lecture or Seminar per week
3
Hours of Lab or Studio per week
1
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