维纳滤波的MATLAB环境实现，使用LMS算法，可用于滤波，图像恢复等应用-Wiener filtering MATLAB environments, the use of LMS algorithm, can be used to filter, image restoration applications

经典语音降噪算法——维纳滤波算法。实现提高语音信号信噪比，提高可读性。-Classic voice noise reduction algorithm- Wiener filtering algorithm. Improve the signal-to-noise ratio of the speech signal, improve readability.

维纳滤波算法，提高信噪比和可读性，适用于平稳高斯噪声环境-Wiener filtering algorithm to improve the signal-to-noise ratio and readability, applicable to stationary Gaussian noise environment

图像复原技术是图像处理和计算机视觉领域共同关心的重要问题,以频谱估计运动方向以及自相关求运动尺度法的方法实现了水平运动模糊图像的增强。,我们使用MATLAB观察频谱图形的特点，估计图像的运动角度，然后用自相关的算法，求出运动尺度,最后用维纳滤波的方法恢复图像。 -Image restoration technology is an important issue in image processing and computer vision areas of common interest to

维纳滤波算法，可以实现对语音信号的降噪，效果还可以(Wiener filtering algorithm, it can achieve noise reduction on speech signals)