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维纳滤波是一种以最小均方误差为最优准则的线性滤波器。它利用了平稳随机过程的相关特性和频谱特性对混有噪声的信号进行滤波。它是目前基本的滤波方法之一,也是当今“现代数字信号处理”课程的经典内容之一。为了加深对这一内容的理解,利用了单边Z变换的性质,提出一种基于单边Z变换的因果维纳滤波器的推导方法,旨在对维纳滤波器的进一步研究提供了一种新的途径。
Wiener filtering is a linear filter with the least mean square error as the optimal criterion. It takes advantage of the correlation characteristics and spectral characteristics of a stationary random process to filter out noise-contaminated signals. It is one of the basic filtering methods at present and is also one of the classic contents of modern digital signal processing course. In order to deepen the understanding of this content, a unilateral Z transform based on the unilateral Z transform is used to derive a causal Wiener filter. This method is intended to provide a further study of the Wiener filter New way.