Title :
Optimization of the Compression Ratio of the Modified Algorithm of Decomposition Electromyographic Signals by a Superimposed Coding
Author :
Oyobe-Okassa, Aime Joseph ; Ele, Pierre
Author_Institution :
EPM of Masuku, Franceville, Gabon
Abstract :
The purpose of the compression is the minimization of the data storage space, the transmission time or the bandwidth. If the wavelets and specifically wavelets packets bases provide an appropriate framework for the selection of an optimal representation of electromyographic (EMG) signals, the choice of encoding method optimizes the compression ratio without altering the compressed data. In compression, it is usual to fix as goal either a compression ratio to achieve or a minimum acceptable quality of the reconstructed signal. In this work, the novelty is that we have obtained the compression ratio without fixing anything, and the results obtained are better than those given by the modified compression algorithm proposed in [6] as association of coding methods was not used there.
Keywords :
data compression; electromyography; encoding; medical signal processing; optimisation; wavelet transforms; EMG signals; coding methods; compression ratio optimization; decomposition electromyographic signals; electromyographic signal representation; modified compression algorithm; superimposed coding; wavelets packets; Channel coding; Compression algorithms; Discrete wavelet transforms; Electromyography; compression; delta coding; modified algorithm; multiresolution; wavelets;
Conference_Titel :
Signal-Image Technology and Internet-Based Systems (SITIS), 2014 Tenth International Conference on
DOI :
10.1109/SITIS.2014.107