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)

• 作者: Aimé Joseph Oyobé Okassa Colince Welba Pascal Ntsama Eloundou Pierre Ele
• 来源期刊: 信号与信息处理(英文)
• 学科: 数学
• 关键词: S-EMG Compression MDWPT DCT Arithmetic Coding Uniform Scalar Dead-Zone Quantizer (USDZQ)
• 年，卷（期）: 2020,（3）
• 页码范围: 35-57
• 页数: 23页
• 分类号: O17

摘要

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>