근 전도 신호 압축에 관한 연구 및 DSR을 위한 음성 특징 압축 알고리즘 설계

Abstract

In the first part, we develop a lossy coding technique for surface EMG signals based on the Adaptive Multi-Rate (AMR) coder and Block-Constrained Trellis-Coded Quantization (BC-TCQ) of the Line Spectrum Frequency (LSF) parameter. We show that the original waveforms of EMG signals can be preserved with a percentage error smaller than 5% using 1484.8 bits/s with a compression factor of 87.9%.