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asas(7)
- 下面是我编的一个软硬阈值去噪的matlab程序 下面是我编的一个软硬阈值去噪的matlab程序：thr=sigma*(2*lgN)1/2/lg(j+1) 用[x,xn]=wnoise(2,10,6) 产生噪声测试数据-The following is Part I of a of hard and soft threshold denoising matlab procedure is the following hardwa
wavelet-domain-denoising
- 此为利用小波来进行去噪处理的几种程序举例，期中包括wnoise 函数测试去噪、图像噪声处理、图像用户界面（GUI）的压缩和去噪声处理三方面。-This is to use wavelet denoising examples of several programs, including wnoise function test period denoising, image noise processing, graphical use
mjiaqiang1
- 下面是我编的一个软硬阈值去噪的matlab程序 下面是我编的一个软硬阈值去噪的matlab程序：thr=sigma*(2*lgN)1/2/lg(j+1) 用[x,xn]=wnoise(2,10,6) 产生噪声测试数据-The following is Part I of a of hard and soft threshold denoising matlab procedure is the following hardware an
mjiaqiang2
- 下面是我编的一个软硬阈值去噪的matlab程序 下面是我编的一个软硬阈值去噪的matlab程序：thr=sigma*(2*lgN)1/2/lg(j+1) 用[x,xn]=wnoise(2,10,6) 产生噪声测试数据-The following is Part I of a of hard and soft threshold denoising matlab procedure is the following hardware an
xiaobofenjiehechougou
- 小波分解和重构 小波分解和重构 -thr=sigma*(2*lgN)1/2/lg(j+1) 用[x,xn]=wnoise(2,10,6) 产生噪声测试数据-The following is Part I of a of hard and soft threshold denoising matlab procedure is the following hardware and software, I made a threshold
quzao
- 对信号进行两层提升分解，构造小波分解结构，使用函数wnoise获取噪声方差，接着使用函数wbmpen获取小波去噪阈值，最后使用函数实现信号去噪。-Signal two layers enhance decomposition, the constructed wavelet decomposition structure, function wnoise for noise variance, and finally use the f
wnoise
- 在matlab中很适用，很经典的产生几种测试噪声的程序。-In matlab it is applicable, it is the classic noise generated several test procedures.
111
- 用db2、db4小波分解奇异点检测，其中用wnoise产生测试信号-use db2 and db4 detect strange point and wnoise was used to produce test signal
waveletnoise.m
- 利用小波理论去噪举例，采用小波理论， MATLAB中用wnoise函数测试去噪算法，并仿真。-Using the theory of wavelet denoising, for example, by using the wavelet theory,Using MATLAB wnoise function test denoising algorithm and simulation.