TITLE:
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)
AUTHORS:
Colince Welba, Aimé Joseph Oyobé Okassa, Pascal Ntsama Eloundou, Pierre Ele
KEYWORDS:
S-EMG, Compression, MDWPT, DCT, Arithmetic Coding, Uniform Scalar Dead-Zone Quantizer (USDZQ)
JOURNAL NAME:
Journal of Signal and Information Processing,
Vol.11 No.3,
August
31,
2020
ABSTRACT: 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 digitized s-EMG signal. A Discrete
Cosine Transforms (DCT) is applied to the MDWPT coefficients (only on detail
coefficients). The MDWPT+ DCT coefficients are quantized with a Uniform
Scalar Dead-Zone Quantizer (USDZQ).
An arithmetic coder is employed for the entropy coding of symbol streams. The proposed approach was tested on more than 35 actuals
S-EMG signals divided into three categories. The proposed approach was
evaluated by the following parameters:
Compression Factor (CF), Signal to Noise Ratio (SNR), Percent Root mean square Difference (PRD), Mean
Frequency Distortion (MFD) and the Mean Square Error (MSE). Simulation
results show that the proposed coding algorithm outperforms some recently
developed s-EMG compression algorithms.