搜索资源列表
wiener
- 维纳滤波器，用于在PSF已知情况下的反卷积-wiener filtering
wiener
- 应用维纳滤波法去噪，在图像的频率特征和附加噪声已知的情况下，采用wiener去卷积比较有效-Wiener filter denoising applications, the frequency characteristics of the image and additive noise of known cases, more effective use of wiener deconvolution
Wiener-Filter--
- 基于MFC的维纳滤波的c++算法实现，过程很详细，能运行。-Wiener filter based on MFC c++ algorithm, the process is very detailed and can run.
wiener
- 对加入不同方差高斯噪声的逆滤波与维纳滤波程序-Gaussian noise with different variance of the inverse filtering and Wiener filtering procedure
Wiener-filtering-processing
- 对图像进行Wiener 变换处理，文件夹中包含了详细的代码-Wiener transform the image processing, file folder contains a detailed code
wiener
- 基于matlab的维纳滤波器 带注释 -Wiener filter based on annotated matlab
Wiener-filter
- matlab的维纳滤波器源码，内容较少，但滤波器的功能都有！-the source code of Wiener filter
Wiener-filter
- 利用计算机编程实现加性干扰信号的维纳滤波-Use of computer programming plus interference signal Wiener filter
Wiener
- 经典的weiner滤波程序，用于语音噪声过滤-Classic weiner filtering procedure, the noise filter for voice
adaptive-filter
- 包括了LMS算法，RLS算法实现的自适应滤波器，以及Wiener最优滤波器-Including the LMS algorithm, RLS algorithm adaptive filter, and Wiener optimal filter
Wiener-filter
- 完整的维纳滤波器的matlab程序，对信号进行滤波-Full Wiener filter matlab program.
wiener
- 维纳滤波 相关程序 基于最小均方误差(MMSE)估计的因果维纳滤波的实现-Wiener filtering procedures based on the minimum mean square error (MMSE) estimate of the causal Wiener filter implementation
Wiener
- 本程序实现了基于最佳维纳滤波器的盲解卷积算法。维纳滤波将地震子波转换为任意所需要的形态。例如，像反滤波一样，可以设计维纳滤波器将地震子波转换为尖脉冲。但维纳滤波不同于反滤波，它是在最小平方的意义上为最 佳。基于最佳纳滤波理论的滤波器算法是人们熟知的维纳一莱文逊(Wiener—Levinson)算法。本程序提供了五种期望输出：零延迟尖脉冲；任一延迟尖脉冲；时间提前了的输入序列；零相位子波；任意期望波形。-Wiener—Levinson algorithm used in wiener filt
Wiener-filter
- 维纳滤波处理，用维纳滤波法处理图像，每一步有解释，适合初学者。-Wiener filter
Wiener-filter
- 针对由于抖动和环境干扰造成的拍摄影像模糊问题，利用维纳滤波法进行图像恢复-As for the environmental disturbance caused by jitter and image blur shooting problems, the use of Wiener filtering method for image restoration
wiener.m
- Computes the wiener solution filter
Wiener
- 设计一维纳滤波器 (1). 产生三组观测数据：首先根据S(n)=aS(n-1)+w(n)产生信号S(n)，将其加噪声(信噪比分别为20db，10db，6db)，得到观测数据X1(n)，X2(n)，X3(n)。. (2). 估计Xi(n)，i=1，2，3的AR模型参数。假设信号长度为L，AR模型阶数为N，分析实验结果，并讨论改变L，N对实验结果的影响。-Design a Wiener filter (1) produces three sets of observations: Fi
Wiener-filtering-a-noisy-speech-signal-code
- noise reduction iusing multirate wiener filtering and by sample rate conversion
Wiener Deblurring
- 维纳滤波运动去模糊matlab各方法的比较。-Compare different methods in matlab of Wiener deblurring.
Wiener-Elman-pa-memory-model
- 应用Wiener和Elman模型分析射频功放的记忆效应-no descr iption