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 |