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Modern control
现代控制理论，卡尔曼滤波器设计，simulink控制仿真(Modern control theory, Calman filter design, Simulink control simulation.)
- 2021-03-09 18:19:27下载
- 积分：1
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PSK
PSK信号载波相位符号定时联合估计,载波环采用判决反馈环，去除噪声平方损耗，定时模块采用早迟原理，
里边有详细的注释，希望对大家有用。点击即可运行。(PSK signal carrier phase joint estimation of symbol timing, carrier ring using decision feedback loop, remove the noise square loss, using early-late timing module principle, inside detailed notes, we want to be useful. Click to run.)
- 2010-07-04 12:36:26下载
- 积分：1
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CWT_mexh
基于墨西哥草帽小波函数进行连续小波变换的matlab变换程序，望对大家有所帮助。(Mexican hat wavelet function based on continuous wavelet transform matlab transformation process, hope to be helpful.)
- 2013-07-03 14:27:46下载
- 积分：1
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wvd
这是一个轴承故障分解程序，给予小波变换，小波去噪，小波重构与EMD相结合，有时频谱，边际谱，功率谱(This is a to bearing failure decomposition program given wavelet transform, wavelet denoising wavelet reconstruction combined with EMD, sometimes the spectrum, marginal spectrum, power spectrum)
- 2012-11-26 15:15:09下载
- 积分：1
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整数小波变换
整数小波变换，可以直接运行，对图像小波分解(Integer wavelet transform)
- 2020-09-06 09:38:06下载
- 积分：1
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Dual-tree_DWT_code
双树复数小波变换的滤波程序,在所有小波变换的程序中，该程序采用双变量模型能很好完成去噪功能(dual-tree complex wavlet transform is a good inshift wavelet transform)
- 2011-12-04 22:29:51下载
- 积分：1
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blitwave
图像处理中的小波变换C++源代码，含有使用文档和例子，非常全面！(image processing wavelet transform C source code, documentation and with the use of examples, very comprehensive!)
- 2006-10-04 14:24:17下载
- 积分：1
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idwt
小波变换、小波逆变换代码，数字信号处理领域常用(Wavelet transform, wavelet inverse transform code, digital signal processing used)
- 2010-01-01 18:57:14下载
- 积分：1
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xianbofilter
设计陷波滤波器，建立原始信号，对其采样，将采样信号通过滤波器进行滤波(Design trapped wave filter, establish the original signal, the sampling, will sampling signal through the filter to filter)
- 2012-05-13 10:08:42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
