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WAVELET BASED BLOCK FREQUENCY COMPRESSION OF SOUND

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dc.contributor.author DR MOEED MUFTI, S JAVEED, ASAMAR,
dc.date.accessioned 2025-03-24T07:25:24Z
dc.date.available 2025-03-24T07:25:24Z
dc.date.issued 1999
dc.identifier.other DE-COMP-17
dc.identifier.uri http://10.250.8.41:8080/xmlui/handle/123456789/51565
dc.description DR MOEED MUFTI, en_US
dc.description.abstract This document describes the theory behind and the concepts involved in sound compression using wavelet-based block frequency detection (BFD). Wavelet-based BFD involves splitting up a sound into many different frequency components, finding repeating patterns in each component, and removing that redundancy by replacing repeating patterns with references to the one original pattern. The compression so achieved is lossy, but the corresponding compression ratio is good enough to justify it en_US
dc.language.iso en en_US
dc.publisher College of Electrical & Mechanical Engineering (CEME), NUST en_US
dc.title WAVELET BASED BLOCK FREQUENCY COMPRESSION OF SOUND en_US
dc.type Project Report en_US


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