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于 2011-03-31 发布文件大小:5KB

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代码说明：

说明：计算小波分解后的能量及小波熵。里面还有OFDM信号和WPM信号的程序。(After calculating the energy of wavelet decomposition and wavelet entropy. There is also OFDM signal and the WPM signal process.)

文件列表：

新建文件夹
..........\ofdm128.m,976,2011-03-24
..........\ofdm256.m,582,2011-01-13
..........\wpm32.m,1742,2011-03-24
..........\xiaobo_nengliang.m,1123,2011-03-31
..........\xiaobo_power.m,1380,2010-12-13
..........\xiaobtez.m,1566,2011-03-30
..........\xidian_figure.m,846,2011-03-30

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kalman
建立舰船航行的误差模型，通过进行卡尔曼滤波，求出测量曲线与真身曲线的误差曲线(Ship navigation error model established by the Kalman filter, find the measurement curve and the true identity of the error curve curve)

2011-06-09 17:15:00下载

积分：1
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用小波变换去除荧光背景，扣除基线。matlab(Remove fluorescence background, net baseline using wavelet transform. matlab)

2020-11-10 16:29:46下载

积分：1
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小波变换程序，用于对一维信号，二维信号进行稀疏变换(wavelet transform)

2014-01-16 13:28:46下载

积分：1
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基于小波变换的随机噪声降噪的matlab 主要运用的方法有软阈值去噪法和硬阈值去噪法(Based on wavelet transform matlab random noise and noise reduction methods are mainly used soft thresholding method and hard thresholding method)

2013-06-25 15:57:52下载

积分：1
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svd算法的实现,用matlab实现SVD算法(the implementation of the SVD algorithm)

2021-03-10 09:49:26下载

积分：1
WPandEMD
小波包和EMD方法对信号分析后的频谱图比较，可以对EMD的运行参数进行修改。(Spectrum comparison of Wavelet package and EMD)

2013-08-18 17:32:28下载

积分：1
gabor_decon
对地震数据进行gabor反褶积处理，有实例验证方法，简单易懂(The seismic data are processed by Gabor deconvolution.There are examples of methods to verify, easy to understand)

2017-09-15 11:49:20下载

积分：1
wave
用于进行小波变换，对原始的光谱图像数据进行预处理(Used wavelet transform, the original spectral image data preprocessing)

2014-01-07 22:55:01下载

积分：1
xiaobo
利用小波变换，通过设置阈值对图像进行去噪。首先对图像用小波进行2层分解，然后通过设置硬阈值和软阈值的方法，对图像高频部分去噪。(The wavelet transform is used to denoise the image by setting threshold. Firstly, the image is decomposed into 2 layers by wavelet, and then the high frequency part of the image is denoised by setting the hard threshold and the soft threshold.)

2020-09-14 12:17:56下载

积分：1
61
说明：提出了一种结合SVD的小波变换方法，对其在外弹道测量数据中的野值剔除进行了研究。对观测数据进行小波分解，将小波分解后的近似分量和细节分量组合实现相空间重构，作为SVD方法的输入观测矩阵，根据奇异熵增量准则，对奇异值进行筛选，根据SVD逆变换重构原信号。这一方法克服了Hankel矩阵相空间构建方法数据端点失真问题。以小波分解后分量重构的相空间可以满足正交性，进一步提高了SVD进行数据降噪和野值检测的精度。仿真数据和试验数据处理结果证明了这一方法的有效性。(Proposed a method of combining the SVD wavelet transform its outer ballistic measurement data in excluding outliers were studied. Observational data on wavelet decomposition, wavelet decomposition of the approximate combined component and detail component to achieve the phase space reconstruction, as the input observation matrix SVD method, based on singular entropy increment standards, singular value filter, according to the inverse transform heavy SVD structure of the original signal. This approach overcomes the Hankel matrix phase space construction method data endpoint distortion. Wavelet decomposition component of reconstruction phase space satisfy orthogonality, to further improve the SVD for data noise reduction and outlier detection accuracy. Simulation data and experimental data processing results prove the effectiveness of this approach.)

2013-06-02 11:10:21下载

积分：1

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