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Wavelet based vector quantization with treecode vectors for EMG Signal compression

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Title Wavelet based vector quantization with treecode vectors for EMG Signal compression
 
Creator Jain, Neelu
Vig, Renu
 
Subject Discrete wavelet transform (DWT)
Distortion constrained codebook replenishment (DCCR)
Electromyogram (EMG)
Tree vector (TV)
Vector quantization (VQ)
 
Description 1064-1071
This paper presents a wavelet-based vector quantization technique using DCCR (Distortion constrained codebook
replenishment) mechanism for compression of Electromyogram (EMG) signals. Wavelet coefficients, obtained from EMG
signal samples, are arranged to form tree vectors (TVs), where each vector has a hierarchical tree structure. Vector quantization
is then applied for encoding to TVs, which uses a pre-calculated codebook. Codebook is created using codebook training
algorithm and is updated dynamically using SPIHT coding strategy. Signal is decoded using a copy of the same codebook
available with encoder. Tests were performed on EMG records obtained from PGI, Chandigarh. A good quality of reconstructed
signal and sufficient compression is achieved. An average Compression Ratio (CR) of 20.64:1 at percentage root mean square
difference (PRD) of 6.12% is obtained by this technique.
 
Date 2008-12-05T06:05:34Z
2008-12-05T06:05:34Z
2008-12
 
Type Article
 
Identifier 0022-4456
http://hdl.handle.net/123456789/2534
 
Language en_US
 
Publisher CSIR
 
Source JSIR Vol.67(12) [December 2008]