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wavelet-pudn-3
wavelet transforms in advanced forms
- 2014-01-12 06:02:24下载
- 积分：1
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wavelet
常用的db，haar，墨西哥帽等小波的程序，帮助认识小波的性质(This is commonly used dB, Haar, Mexico hat and other wavelet program, can help you understand the nature of wavelet)
- 2017-11-20 18:00:58下载
- 积分：1
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wavelib
说明： 用c++实现小波变换，参考matlab实现(Using C + + to realize wavelet transform, referring to matlab to realize)
- 2020-06-21 16:24:31下载
- 积分：1
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Matlab和C++编写的傅立叶变换程序源代码
（1）用MATLAB开发的傅立叶变换以及逆变换的一个例子，测试通过无误。（2）C＋＋编写的傅立叶以及逆傅立叶变换程序源代码，测试通过。((1) Using MATLAB development of the Fourier transform and inverse transform an example of the test correct. (2) C++ and inverse Fourier Fourier transform source code, test.)
- 2005-04-25 11:06:29下载
- 积分：1
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neural input 005
wavelet transform to analyze fault for fault location determining
- 2018-03-20 17:19:17下载
- 积分：1
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02
2.1 傅里叶变换
2.1.1 经典傅里叶变换
2.1.2 傅里叶变换的基本性质
2.1.3 快速傅里叶变换
2.1.4 短时傅里叶变换
2.2 小波分析与多分辨率分析的历史
2.3 小波分析与傅里叶变换的对比
2.4 小波变换
2.4.1 连续小波变换
2.4.2 离散小波变换
2.4.3 高维小波连续变换
2.5 常用小波基函数
2.5.1 小波函数
2.5.2 小波函数系
2.5.3 复数小波
2.6 构造紧支撑正常小波基
2.7 多分辨率分析与小波构造
2.8 分析小波包
2.8.1 小波包的定义及性质
2.8.2 分解小波包的空间
2.8.3 小波包算法(2.1 Fourier transform
2.1.1 classical Fourier transform
2.1.2 The basic properties of the Fourier transform
2.1.3 Fast Fourier Transform
2.1.4 short time Fourier transform
2.2 wavelet analysis and multi-resolution analysis of the history of
2.3 Wavelet Analysis and comparison of the Fourier transform
2.4 Wavelet Transform
2.4.1 Continuous Wavelet Transform
2.4.2 Discrete Wavelet Transform
2.4.3 Continuous high-dimensional wavelet transform
2.5 Common wavelet basis function
2.5.1 wavelet function
2.5.2 Department of wavelet function
2.5.3 Complex Wavelet
2.6 Construction of compactly supported wavelets normal
More than 2.7 resolution analysis and wavelet construction
2.8 Analysis of Wavelet Packet
2.8.1 Definition and properties of wavelet packet
2.8.2 wavelet packet decomposition space
2.8.3 Wavelet Packet Algorithm)
- 2013-10-19 16:34:13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
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image fusion
用MATLAB编写的利用小波变换对多聚焦图像的融合。(The fusion of multi focus images with wavelet transform is written in MATLAB.)
- 2017-12-09 19:51:50下载
- 积分：1
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DSPC
多波束、波束形成、DSP实现、多波束分析(Multibeam、Multi-beam forming、Multi-beam analysis、DSP、)
- 2011-08-14 17:16:57下载
- 积分：1
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wavelet-rebult
根据小波变换后的模极大值 重建原始信号(To reconstruct the original signal based on wavelet transform modulus maxima)
- 2013-04-13 12:50:17下载
- 积分：1
