一种实时小波降噪算法

A Real-time Wavelet De-noising Algorithm

通过施加滑动数据窗的方式 ,总剪取实时数据的最新一段 ,再利用区间小波降噪算法 ,构造出实时小波降噪算法。实时降噪计算量通过选用正交紧支撑小波和限制小波分解深度降低。区间小波变换的边界干扰通过数据输出的时间延迟避免。引入冗余采样数据消除数据更新的时间滞后。用仿真实验验证了算法的降噪能力。

A moving window is adopted to extract the last segments of real-time updating data, the extracted data segment is decomposed through wavelet de-noising algorithm in interval to form the real-time de-noising algorithm. Calculation complexity is reduced by using orthogonal wavelet with compact support and limiting wavelet decomposition depth. Edge interference is turn away by time-delayed data output. Redundant data sampling is imported to avoid the time-delay in real-time data updating. The algorithm is verified with simulated test.