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waveletdenoising
小波变换应用，小波软阈值及硬阈值去噪算法及对此算法的改进算法。(Application of Wavelet Transform, wavelet soft threshold and hard threshold denoising algorithm and improved algorithm for this method.)
- 2021-04-08 20:39:00下载
- 积分：1
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gabor
gabor二维滤波器，用与表情识别！非常好用！做人脸识别，表情识别的朋友可以下载！(Facial expression recognition based on Gabor wavelets tranform!It is very useful to the people who research facial expression !)
- 2010-06-23 16:42:56下载
- 积分：1
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1b3f6358
说明： CEEMDAN和EEMD等去噪方法的合集(CEEMDAN/EEMD/EMD:Collection of various denoising methods)
- 2020-12-15 16:41:48下载
- 积分：1
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3D
说明： 真正的3 d双树离散小波变换(DWT)的一个数据集x是使用四个严格采样实现可分3 d DWTs在平行。然后subbands四DWTs结合适当。
(The real the 3 d Doubletree discrete wavelet transform (DWT) data set x four to strict sampling separable 3 d the DWTs In parallel. The then the subbands four DWTs combined appropriately.)
- 2013-04-16 19:35:55下载
- 积分：1
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haar
说明： 整数Haar小波变换和逆变换 可用于差值扩展等(Integer Haar wavelet transform and inverter)
- 2010-04-26 16:42:55下载
- 积分：1
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remove-noise-by-wavelet-transform
小波去噪,通过对含噪信号进行四层小波分解，此处利用db3小波系列，通过仿真发现可以很好的消除信号中的噪声(Wavelet denoising, the signal through four layers of noisy wavelet decomposition, where the use db3 wavelet series, the simulation found in the well to eliminate the noise signal)
- 2011-05-10 14:18:49下载
- 积分：1
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tuxiangbianh
离散小波变换与离散小波反变换 快速小波变换（Mallat小波分解算法）：对一幅图像做2级小波分解（离散小波变换）与合成（离散小波反变换）(Discrete wavelet transform and discrete wavelet inverse transform fast wavelet transform (Mallat wavelet decomposition): For an image to do 2 wavelet transform (DWT) and synthesis (discrete wavelet inverse transform))
- 2020-12-08 15:39:20下载
- 积分：1
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transform_xiaobo
小波变换的C源代码。
这个用的是 DB4小波，周期延拓，可以实现精确重构的。 (wavelet transform C source code. The DB4 is using the wavelet cycle extension can achieve precise reconstruction.)
- 2021-01-06 12:28:54下载
- 积分：1
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xiaobo
基于小波变换的信号去噪技术，简单的一维小波去噪程序(Signal de-noising based on wavelet transform technique, a simple one-dimensional wavelet denoising procedure)
- 2014-02-24 12:55:42下载
- 积分：1
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Autocorrelation
编写MATLAB程序，产生协方差函数为C(τ)=9??^(?10|??| )的零均值平稳高斯过程，产生一条样本函数.测量所产生样本的时间自相关函数，将结果与理论值比较。(Procedures for the preparation of MATLAB produced C covariance function (tau) =9^ (- 10||) zero mean stationary Gauss process to produce a sample function. Measuring the resulting sample time autocorrelation function, the results will be compared with the theoretical value.)
- 2021-04-08 13:19:01下载
- 积分：1
