本文综述了心音检测技术以及现代数字信号处理方法(谱估计、联合时一频分析、小波分析、模式识别)在心音信号分析中的应用及研究进展。-Heart sound detection technology are reviewed, and the modern digital signal processing method (spectrum estimation, joint frequency analysis, wavelet analysis and pattern recognition) i

基于互功率谱的时延估计，实现了对10个数字音的识别程序基于分段非线性权重值的Pso算法，有循环检测，周期性检测，采用了小波去噪的思想，仿真效果非常好。- Based on the time delay estimation of power spectrum, Realization of 10 digital audio recognition program Based on piecewise nonlinear weight value Pso algorithm, There are

基于互功率谱的时延估计，含噪脉冲信号进行相关检测,matlab编写的元胞自动机，matlab小波分析程序，在MATLAB中求图像纹理特征，是学习PCA特征提取的很好的学习资料，双向PCS控制仿真。- Based on the time delay estimation of power spectrum, Noisy pulse correlation detection signal, matlab prepared cellular automata, matlab wavelet anal

含噪脉冲信号进行相关检测,多姿态，多角度，有不同光照,自己编的5种调制信号，利用贝叶斯原理估计混合logit模型的参数，基于互功率谱的时延估计，matlab小波分析程序。 - Noisy pulse correlation detection signal, Much posture, multi-angle, have different light, Own five modulation signal, Bayesian parameter estimation principl