Online Wavelet Denoising via a Moving Window

在这份报纸，在即时信号处理降噪的传统的小浪的缺点被讨论，联机降噪的要求被考虑，并且一扇动人的窗户被介绍进传统的小浪变换。用动人的窗户，降噪途径的联机小浪被建议。联机降噪的一些问题例如边阶失真和 pseudo-Gibbs 现象，被讨论。为了解决这些问题，窗户延期和窗户，周期旋转也被建议。不同途径被广泛地在降噪域使用的信号测试。视觉结果和量的措施被介绍加亮新途径的可获得性。

In this paper, shortcoming of traditional wavelet denoising in real-time signal processing is discussed, requirements of online denoising are considered, and a moving window is introduced into traditional wavelet transform. Using the moving window, an online wavelet denoising approach is proposed. Some problems of online denoising, such as border distortion and pseudo-Gibbs phenomena, are discussed. To solve these problems, window extension and window cycle spinning are also proposed. Different approaches are tested by the signal widely used in denoising domain. Both the visual results and the quantitative measures are presented to highlight the availability of the new approach.