%0 Journal Article
%T Contribution to S-EMG Signal Compression in 1D by the Combination of the Modified Discrete Wavelet Packet Transform (MDWPT) and the Discrete Cosine Transform (DCT)
%A Colince Welba
%A Aim¨¦ Joseph Oyob¨¦ Okassa
%A Pascal Ntsama Eloundou
%A Pierre Ele
%J Journal of Signal and Information Processing
%P 35-57
%@ 2159-4481
%D 2020
%I Scientific Research Publishing
%R 10.4236/jsip.2020.113003
%X A new Modified Discrete Wavelets Packets Transform
(MDWPT) based method for the compression of Surface EMG signal (s-EMG) data is
presented. A Modified Discrete Wavelets Packets Transform (MDWPT) is applied to
the <span style=\"font-family:Verdana;\">digitized s-EMG signal. A Discrete
Cosine Transforms (DCT) is applied to the MDWPT coefficients (only on detail
coefficients). The MDWPT+ DCT coeffici</span><span style=\"font-family:Verdana;\">ents are quantized with a Uniform
Scalar Dead-Zone Quantizer (USD</span><span style=\"font-family:Verdana;\">ZQ)</span><span style=\"font-family:Verdana;\">.
An arithmetic coder is employed for the entropy coding of symbol streams. The</span><span style=\"font-family:Verdana;\"> proposed approach was tested on more than 35 act</span><span style=\"font-family:Verdana;\">uals
S-EMG signals divided into three categories. The proposed approach was
evaluated by the foll</span><span style=\"font-family:Verdana;\">owing parameters:
Compression Factor (CF), Signal to Noise Ratio (SN</span><span style=\"font-family:Verdana;\">R), </span><span style=\"font-family:Verdana;\">Percent Root mean square Difference (PRD), Mean
Frequency Distortion (MFD) </span><span style=\"font-family:Verdana;\">and the Mean Square Error (MSE). Simulation
results show that the proposed coding algorithm outperforms some recently
developed s-EMG compression algorithms.</span>
%K S-EMG
%K Compression
%K MDWPT
%K DCT
%K Arithmetic Coding
%K Uniform Scalar Dead-Zone Quantizer (USDZQ)
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=102613