Exploiting spatial and temporal redundancies for vector quantization of speech and images
The objective of the proposed research is to compress data such as speech, audio, and images using a new re-ordering vector quantization approach that exploits the transition probability between consecutive code vectors in a signal. Vector quantization is the process of encoding blocks of samples fr...
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Format: | Others |
Language: | en_US |
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Georgia Institute of Technology
2016
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Online Access: | http://hdl.handle.net/1853/54442 |