Data Modeling and Compression
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Overview
Subject area
ELE
Catalog Number
722
Course Title
Data Modeling and Compression
Department(s)
Description
Practical methods for modeling data, learning and data compression. Modeling of discrete and continuous alphabet data, quantitative methods for model comparison, learning algorithms for data modeling, data models in practice, lossless : (Huffman coding, arithmetic coding, Lempel-Ziv coding, run length coding, data transformations such as the Burrows-Wheeler transform) and lossy compression . (scalar and vector quantization, predictive coding, transform coding) of speech, audio, image, video and seismic signals. Speech, Audio, Image and Video coding standards.
Typically Offered
Fall, Spring
Academic Career
Graduate
Liberal Arts
No
Credits
Minimum Units
3
Maximum Units
3
Academic Progress Units
3
Repeat For Credit
No
Components
Name
Lecture
Hours
3
Requisites
030166