ADAPTIVE NOISE CANCELLATION

In numerous applications of signal processing, communications and biomedical we are faced with the necessity to<br>remove noise and distortion from the signals. Adaptive filtering is one of the most important areas in digital signal processing to<br>remove background noise and distortion. As received signal is continuously corrupted by noise where both received signal and<br>noise signal both changes continuously, then this arise the need of adaptive filtering. In last few years various adaptive<br>algorithms are developed for noise cancellation在信号处理、通信与生物医学的诸多应用场景中，我们常常需要从信号中去除噪声与失真。自适应滤波（Adaptive Filtering）是数字信号处理（Digital Signal Processing）领域中用于去除背景噪声与失真的核心方向之一。当接收信号持续受到噪声污染，且接收信号与噪声信号均随时间不断变化时，便催生了对自适应滤波的需求。近年来，学界已开发出多种用于噪声消除的自适应算法。