1064-1071This 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