A Study Of Wavelet Transforms For Data Compression And Decompression Of Audio And ECG Signals

In this project we study the topic of wavelet transforms and how they may be used in the area of data compression and decompression of audio and electrocardiogram(ECG) signals.

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主要作者: Rosli Besar
格式: Thesis
出版: 2004
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spelling my-mmu-ep.1032009-12-15T06:49:48Z A Study Of Wavelet Transforms For Data Compression And Decompression Of Audio And ECG Signals 2004 Rosli Besar, LB2300 Higher Education In this project we study the topic of wavelet transforms and how they may be used in the area of data compression and decompression of audio and electrocardiogram(ECG) signals. 2004 Thesis http://shdl.mmu.edu.my/103/ http://vlib.mmu.edu.my/diglib/login/dlusr/login.php masters Multimedia University Research Library
institution Multimedia University
collection MMU Institutional Repository
topic LB2300 Higher Education
spellingShingle LB2300 Higher Education
Rosli Besar,
A Study Of Wavelet Transforms For Data Compression And Decompression Of Audio And ECG Signals
description In this project we study the topic of wavelet transforms and how they may be used in the area of data compression and decompression of audio and electrocardiogram(ECG) signals.
format Thesis
qualification_level Master's degree
author Rosli Besar,
author_facet Rosli Besar,
author_sort Rosli Besar,
title A Study Of Wavelet Transforms For Data Compression And Decompression Of Audio And ECG Signals
title_short A Study Of Wavelet Transforms For Data Compression And Decompression Of Audio And ECG Signals
title_full A Study Of Wavelet Transforms For Data Compression And Decompression Of Audio And ECG Signals
title_fullStr A Study Of Wavelet Transforms For Data Compression And Decompression Of Audio And ECG Signals
title_full_unstemmed A Study Of Wavelet Transforms For Data Compression And Decompression Of Audio And ECG Signals
title_sort study of wavelet transforms for data compression and decompression of audio and ecg signals
granting_institution Multimedia University
granting_department Research Library
publishDate 2004
_version_ 1747829063715651584