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用于指纹检测等,利用图像的梯度方向,获得局部主导方向。Principal Component Analysis (PCA),包含有高斯金字塔分层,SVD奇异值分解,内含测试图像-Used for fingerprint detection, etc. Using the gradient direction of image to get local leading direction. Principal Component Analysis (PCA), contains a gaussi
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雅克比过关法算法求矩阵的奇异值分解,是雅克比算法的优化,提高计算速度-Jacobian immigration law algorithms singular value decomposition of a matrix, Jacobi algorithm optimization, improve computing speed
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何子述《现代信号处理及其应用》第6章课后习题代码,基于奇异值分解的MVDR方法进行信号频率估计的仿真实验-He sub-described " modern signal processing and its applications" in Chapter 6 Homework code MVDR method based on singular value decomposition of the signal frequency estimation simulation
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矩阵的奇异值分解,使用fortran实现-The singular value decomposition of the matrix using fortran achieve
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数值计算中SVD分解算法,其中包含SVD算法的C++实现头文件,源文件,程序测试代码,以及测试结果文件等,可以很好的帮助你理解SVD奇异值分解算法-Numerical calculation SVD decomposition algorithm, which the SVD algorithm C++ header files, source files, program testing code, and test results file can help you understand t
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我们提出一种新方法用于单幅图像的空间变化模糊识别,在图像中的每个局部小块,这个局部模糊被选择在一个候选PSFS有限集中间,用一个极大似然方法。我们打算用广义似然减少参数的数量,用广义奇异值分解限制计算值,但是要对图像做出适当的边界假设。-We present a new approach for spatially varying blur identification
using a single image. Within each local patch in the
image,
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奇异值分解定理,短小精悍的一篇文章,讲的很清楚-Singular value decomposition theorem, dapper article said very clearly
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it is a code for denoising based on singular value decomposition. it is a rank reduction based method
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利用压缩感知实现波达方向估计,运用奇异值分解对接收信号进行降维,再利用L1范数进行估计-Using compressed sensing DOA estimation using singular value decomposition to reduce the dimensionality of the received signal, and then using the L1 norm estimate
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C环境下实现矩阵的奇异值分解,实际验证之后证明效果不错-Singular value decomposition of the matrix C environment, proof of good results after the actual verification
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用于求解矩阵广义逆的,求解矩阵奇异值分解程序。-For solving matrix generalized inverse, solving matrix singular value decomposition procedure.
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A SIMPLE PROGRAM TO SOLVE A LINEAR SYSTEM AX=B BY THE SINGULAR VALUE DECOMPOSITION METHOD
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数字图像处理 基于奇异值分解的图像压缩 根据图像矩阵的奇异值分解 选择图像中的主要信息部分进行压缩编码-Digital image processing based on singular value decomposition image compression based on singular value decomposition of the image matrix is the main part in the select image compress
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matlab运行环境下,奇异值分解软件包利用的是LR迭代方法-the matlab runtime environment, singular value decomposition package to take advantage of the LR iteration method
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jacobi奇异值分解,matlab 用于利用矩阵填充和矩阵回复解决图像处理问题-the jacobi singular value decomposition
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奇异值分解算法,别的地方下载下来后尚未测试-Singular value decomposition algorithm
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矩阵的奇异值分解,文件里面有详细的调用说明-The singular value decomposition of the matrix, the file there is a detailed descr iption of the call. . .
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奇异值分解等方法对噪声进行去噪,算法简单,清晰易懂-Singular value decomposition method to noise denoising algorithm is simple, clear and easy to understand
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SVDLIBC是一个使用Lanczos算法计算稀疏矩阵SVD(奇异值分解)的C语言函数库,原本在只能Linux下编译,这个版本是对其进行修改后的windows版本,可以在VC++或MinGW下使用。-SVDLIBC is a C library computing the SVD(Singular Value Decomposition) of a sparse matrix using the Lanczos Algorithm. Originally, it can only compile
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提出了将信号进行相空间重构后再采用奇异值分解, 对分解后的主成分进行包络分析, 从而提取信号的隐含特
征的方法, 并将该方法应用于齿轮的局部故障振动特征信号的提取中。数值仿真实验结果表明, 该方法能有效提取强背景
信号及噪声中的弱冲击特征信号, 是一种有效的弱信号特征提取方法。采用该方法对齿轮振动信号进行故障特征提取与识
别, 结果与实际情况相符。-Signal implicit characteristic of phase space reconstruction, and th
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