ENEE 625 - Data Compression

Credits: [3]

Description: 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.
Course ID: 053940
Prerequisite: Prerequisites: ENEE 620 and ENEE 622 or consent of instructor.
Components: Lecture
Grading Method: A-F, Audit