一种强噪声背景下的微弱信号检测的新方法

基于自适应滤波算法对小波滤波器的构造方法进行了研究，重点在于解决对强噪声环境下微弱信号提取所需要的小波变换的子带自适应滤波器的构造，把小波变换技术和自适应滤波技术应用于微弱信号的检测。提出基于自适应小波变换的心电信号的检测，利用小波变换的子带编码理论，通过在多个子带权值的自适应匹配，回复后拟合微弱信号。仿真结果表明，该方法可进一步改善信号的检测能力，在检测微弱信号的特征和改善信噪比方面是一种十分有效的方法。

An Algorithm for Weak Signal Detection in Strong Noise Environment

Algorithms of constructing wavelet filters based on adaptive filtering algorithms are studied with emphasis on how to construct the sub-band adaptive wavelet filters for detecting weak signals from a high noisy environment.Wavelet transform(WT) and adaptive filtering are used to detect weak signals.An algorithm for electrocardio-graphic(ECG) signal detection with WT based on adaptive matched filter is proposed.The results show that this method can further improve the detection capability.The algorithm is a quite effective method for the extraction features of weak signals and improving the ratio of signal to noise.