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SerialPortCommunication
matlab实现串口采样数据的实现曲线绘制，能够设置串口编号。(matlab SerialPortCommunication)
- 2012-11-19 15:07:32下载
- 积分：1
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DirFilter-test_pic
简单的方向滤波器，
带测试图的，
可以直接运行(Simple directional filter, with a test chart, you can directly run)
- 2012-09-11 19:46:21下载
- 积分：1
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bandlets-denoising-simple
bandelet denoising toolbox for matlab
- 2008-02-26 17:38:13下载
- 积分：1
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3971002xiaobo
小波变换分析，含有小波源程序和仿真主程序，适用于非平稳冲击振动信号的时频特性分析。(The wavelet transform analysis, which contains the small wave source program and the simulation main program, is suitable for the analysis of the time-frequency characteristic of the nonstationary shock vibration signal.)
- 2018-03-27 14:18:49下载
- 积分：1
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matlab2
小波去造程序，小波去噪程序，小波去噪程序，小波去噪程序(Wavelet to create procedures, wavelet denoising procedure, wavelet denoising procedure, wavelet denoising procedures)
- 2010-05-21 09:20:34下载
- 积分：1
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Daubechies4-Hilbert
实现信号希尔伯特变换，以及小波变换，小波变换要求数据长度是2的N次幂(The signal Hilbert transform and wavelet transform, wavelet transform requires that the data length 2 is N th)
- 2013-05-18 23:42:25下载
- 积分：1
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mediumvaluefilter
中值滤波源程序，非常好用。程序有说明很容易看懂！(median filtering source, very handy. Note procedure is easy to read!)
- 2020-12-09 21:09:20下载
- 积分：1
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matlabwaveletthreshod
小波阈值去噪 软阈值去噪和硬阈值去噪的比较(Wavelet thresholding soft thresholding and hard thresholding comparison)
- 2011-11-06 22:47:49下载
- 积分：1
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wavelet-transform
对含噪声信号进行小波变换；对变换得到的小波系数进行某种处理，以去除其中包含的噪声；对处理后的小波系数进行小波逆变换，得到去噪后的信号(Containing noise signal wavelet transform the wavelet transform coefficients to a treatment to remove the noise contained therein the treated wavelet inverse wavelet transform coefficients to obtain a denoised signal)
- 2013-10-17 11:30:13下载
- 积分：1
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BCS-SPL-1.5-new
Block-based random image sampling is coupled with a projectiondriven
compressed-sensing recovery that encourages sparsity in
the domain of directional transforms simultaneously with a smooth
reconstructed image. Both contourlets as well as complex-valued
dual-tree wavelets are considered for their highly directional representation,
while bivariate shrinkage is adapted to their multiscale
decomposition structure to provide the requisite sparsity constraint.
Smoothing is achieved via a Wiener filter incorporated
into iterative projected Landweber compressed-sensing recovery,
yielding fast reconstruction. The proposed approach yields images
with quality that matches or exceeds that produced by a popular,
yet computationally expensive, technique which minimizes total
variation. Additionally, reconstruction quality is substantially
superior to that from several prominent pursuits-based algorithms
that do not include any smoothing
- 2020-11-23 19:29:34下载
- 积分：1
