CAJ | 학술논문

针对含白噪声语音信号采用压缩感知时重构效果差的问题，提出了一种对CS投影矩阵为行阶梯矩阵下的观测序列进行小波阈消噪的方法。针对该方法在噪声较小时，由于对某些帧的观测序列的噪声标准差估计误差过大，从而导致的重构性能衰减严重的问题，提出了一阶平滑的噪声估计的改进方案，改善了高信噪比时的重构效果。仿真显示，该方法通过压缩感知降低采样率的同时，实现了语音增强，并且性能也优于传统语音消噪方法。
침대함백조성어음신호채용압축감지시중구효과차적문제，제출료일충대CS투영구진위행계제구진하적관측서렬진행소파역소조적방법。침대해방법재조성교소시，유우대모사정적관측서렬적조성표준차고계오차과대，종이도치적중구성능쇠감엄중적문제，제출료일계평활적조성고계적개진방안，개선료고신조비시적중구효과。방진현시，해방법통과압축감지강저채양솔적동시，실현료어음증강，병차성능야우우전통어음소조방법。
To solve the problem of poor reconstruction performance for compressed sensing of speech degraded by white Gaussian noise, a method using wavelet threshold de-noising algorithm based on row echelon matrix measurement sequences is proposed. In addition, when the noise is small, the reconstruction performance decays as a result of the inaccurate estima-tion of the standard deviations of some frames. To solve this problem, an improved scheme using one step smoothing for noise estimation is also put forward, which improves the reconstruction results greatly for high SNR. It is demonstrated that by using compressed sensing, this method not only reduces the sampling rate, but also achieves better performance than the traditional speech de-noising methods.