搜索资源列表
jigeshili
- 几个matlab的实力，包括： 非线性微分方程的求解.doc RLS,Demonstration of Wiener filter,LMS filter,Steep-descent algorithm.doc matlab下gabor滤波算法,可以提取图象纹理特征.doc-several Matlab strength, including : non-linear differential equation solving. Doc RLS. Demonstration of Wi
Wienerfilter1
- 这是一个（原创的）用matlab做成的维纳滤波器程序，可以直接运行，对于初学数字信号处理的各位有不错的帮助。-(original) using Matlab caused by Wiener filter procedures, and can directly run for the beginner in digital signal processing you have any good help.
speech_enhancement
- 自己编写的用谱相减，最小均方和维纳滤波实现语音增强的matlab文件-themselves with the preparation of spectral subtraction, the minimum mean square Wiener filtering and enhanced voice document Matlab
matlab程序
- 加高斯噪声后进行不同窗格的维纳滤波和均值滤波(Plus Gaussian noise after a different pane of Wiener filtering and mean filtering)
matlab程序
- 加入乘性噪声和椒盐噪声的图像进行维纳滤波和均值滤波，采用不同窗口看效果(Add the image of multiplicative noise and salt and pepper noise for Wiener filtering and mean filtering, using different windows to see the effect)
基于LMS算法的自适应滤波器设计与实现
- 因LMS算法具有低计算复杂度、在平稳环境中的收敛性好、其均值无偏地收敛到wiener解和利用有限精度实现算法时的稳定性等特性，使LMS算法成为自适应算法中应用最广泛的算法。(Because LMS algorithm has low computational complexity, convergence in stable environments, the mean unbiased converges to the Wiener solution and the finite preci
adaptive filter (2)
- MATLAB codes for adaptive filtering using least mean square, nominal LMS and Wiener filter using forward linear prediction and backward linear prediction.
B3小组总结报告
- 使用matlab实现语音去噪，主要使用窗函数滤波法及维纳滤波法。(Using MATLAB to achieve speech denoising, mainly using window function filtering method and Wiener filtering method.)
Wiener-filter
- 维纳滤波，比较简单，适合初学者，一个matlab小程序(Wiener filter applet)
图像去噪
- 维纳滤波和均值滤波，及利用自适应维纳滤波的图像去噪MATLAB代码，效果优于维纳滤波(Using adaptive Wiener filtering for image denoising MATLAB code, the effect is better than Wiener filtering)
Projects_DIP3E
- 主要包括DIP 3/e—Student Projects的说明文档以及实验05-04的详细代码，实验的要求为： Instruction manual: (a) Implement a blurring filter as in Eq. (5.6-11). (b) Blur image 5.26(a) in the +45o direction using T = 1, as in Fig. 5.26(b). (c) Add Gaussian noise of 0 mean and
lvbofuyuan
- ① 采用逆滤波、维纳滤波和约束最小二乘方滤波复原图像。 ② 实现四种均值滤波(Inverse filtering, Wiener filtering and constrained least square square filtering are used to restore the image. Realizing four kinds of mean filtering)
盲解卷积复原
- 盲去卷积复原算法，并在MATLAB中进行实验，和维纳滤波的复原效果进行一个对比。盲去卷积的方法有多种，露西-理查德森算法属于图像复原中的非线性算法，与维纳滤波这种较为直接的算法不同，该算法使用非线性迭代技术，在计算量、性能方面都有了一定提升(The blind deconvolution restoration algorithm is carried out in MATLAB and is compared with the restoration effect of Wiener filt
MMSE
- 计算 MMSE 以及 维纳滤波器方法， 用于维纳滤波器设计以及均方差估计(Computing MMSE and Wiener filter method Design of Wiener filter and estimation of mean square variance)
code
- 三种图像去噪源码（matlab实现） 1.均值滤波对高斯噪声的效果 2.二维自适应维纳滤波对高斯噪声的滤除效果 3.对加入椒盐噪声的图像分别作均值、中值和维纳滤波(Three images to noise source code 1. The effect of mean filtering on gaussian noise. 2. The filtering effect of 2d adaptive wiener filtering on gaussian noise. 3.
DSP习题matlab_sourcefile
- 胡广书版数字信号处理matlab代码，维纳滤波器等学习源码(digital signal processing matlab code, Wiener filter and other learning source)
B6649
- 数学建模动态模糊模糊图片处理维纳滤波方法实现(Mathematical modeling, dynamic fuzzy and fuzzy image processing, Wiener filtering method.)
数学建模运动模糊图像的复原
- 数学建模，动态模糊与模糊图像处理，维纳滤波方法。(Mathematical modeling, dynamic fuzzy and fuzzy image processing, Wiener filtering method.)
VMD
- VMD方法是在传统维纳滤波的基础上，提出的一种非递归自适应信号分解新方法。与EMD方法和LMD方法相比，VMD方法分解的信号，具有精度高、收敛快和鲁棒性好等特点，适用于处理滚动轴承故障信号。(The VMD method is a new non recursive adaptive signal decomposition method based on traditional Wiener filtering. Compared with the EMD method and the LMD
图像处理
- 图像处理。包括图像的平移，傅里叶变换，高低通滤波以及维纳滤波等(Image processing. Including image translation, Fourier transform, high and low pass filtering and Wiener filtering, etc)