Aime Joseph Oyobe  Okassa, Joseph Mvogo  Ngono, Pierre  Ele, 
    Compression of the EMG Signals by Walsh-Hadamard Transform
Associated with the Predictive Coding DPCM,
    International Journal of System Signal Control and Engineering Application,
    Volume 12,Issue 1,
    2019,
    Pages 1-7,
    ISSN 1997-5422,
    ijssceapp.2019.1.7,
    (https://makhillpublications.co/view-article.php?doi=ijssceapp.2019.1.7)
    Abstract: The EMG signals are vectors of several informations relative to the physiological and pathological
state of muscles. The storing of these signals causes problems of storage space and bandwidth, a solution to
this problem is compression. In this research, we compress the EMG signals by an algorithm based on the
Walsh-Hadamard Transform (WHT). Then, we compress the same data by the Differential Pulse Code
Modulation (DPCM) method. The method which we propose superposes the DPCM and the WHT. An
evaluation of these three algorithms (WHT, DPCM and their superposition) is made. The performances of these
methods are given by the measures of SNR, MFD, MSE, PRD and the CR. The originality of this algorithm
which combines the decomposition by WHT and a method of linear prediction (DPCM), lies in the improvement
of the compression ratio and the simplicity of implementation.
    Keywords: WHT;DPCM;compression;EMG;MSE;PRD