ENEE 625 - Data Compression

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Principles and techniques of data compression: review of source coding theory; lossless data compression techniques, such as Huffman coding, bit-plane coding, predictive coding, arithmetic coding and LZW coding; and lossy data compression techniques, such as transform coding, wavelet transform coding, scalar quantitation, vector quantitation, predictive coding and sub-band coding.
Prerequisite: Prerequisites: ENEE 620 and ENEE 622 or consent of instructor.