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tutorial for singular value decomposition
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一种新型的图像去噪算法,高阶奇异值阈值分解HOSVD-a new image denoising algorithm,high order Singular Value Decomposition
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对一个信号进行奇异值分解,根据差分谱最大值点,重构信号,达到降噪的目的。-Signal for a singular value decomposition, according to the differential spectrum maximum point, the reconstructed signal to achieve noise reduction purposes.
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Singular value decomposition SVD
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Principal Component Analysis by Singular Value Decomposition
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matlab奇异值分解的范例程序,对数据进行降噪处理。-Singular Value Decomposition matlab sample program for data processing for noise reduction.
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CGSVD Compact generalized SVD of a matrix pair in regularization problems.
sm = cgsvd(A,L)
[U,sm,X,V] = cgsvd(A,L) , sm = [sigma,mu]
Computes the generalized SVD of the matrix pair (A,L):
[ A ] = [ U 0 ]*[ diag(sigma) 0 ]*inv
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该程序的功能是画一个奇异值分解单亮点声图,程序简单易懂,适合参考-Single bright spot of singular value decomposition
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Algo358 - 一个复矩阵的奇异值分解-Algo358- The singular value decomposition of a complex matrix
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Algo358 - 一个复矩阵的奇异值分解,c++版本-Algo358- singular value decomposition of a complex matrix, c++ version
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SI算法是由基于形状描述的两个奇异值分解(SVD )理论组成。-SI algorithm theory consists of two singular value decomposition (SVD) based on the shape descr iption.
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多种图像压缩算法,基于高斯金字塔、离散余弦变换、奇异值分解变换等-Image compression Using Block Truncation Coding.
Image compression based on Gaussian Pyramids,Discrete Cosine Transform,Singular Value Decomposition...
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字典学习中,采用奇异值分解和k均值方法训练数据得到字典的算法。-Dictionary learning, using singular value decomposition and k-means algorithm training data obtained dictionary.
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奇异值分解的另外一种方法,svd,求解的是最大或最小的矩阵的奇异值。-Another method of singular value decomposition, svd, solving the maximum or minimum singular value matrix.
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MUSIC的改进方法,通过奇异值分解,可以实现相干信号的DOA估计-
The improving method of the MUSIC, through the singular value decomposition, can realize DOA estimation of coherent signals
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梯度奇异值分解的图像质量评价模型,可有效评价各类图像的质量,效果明显优于传统评价方法-the thesis extracts the structure characteristics of the image by using gradient singular value decomposition, and builds an uation model based on local singular value decomposition
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矩阵奇异值分解,主要用于图像图形处理及应用-Matrix Singular Value Decomposition
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PROPACK中的奇异值算法,先上对角化,载用隐式QR迭代进行分解-PROPACK singular value decomposition, the first on the diagonal, contained implicit iteration QR decomposition
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该程序是奇异值分解程序,有利于图像等反问题的研究和求解-The program is the singular value decomposition process, research and solution to the inverse problem of image etc.
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图像数据操作(内存分配与释放,图像复制、设定和转换)
图像/视频的输入输出(支持文件或摄像头的输入,图像/视频文件的输出)
矩阵/向量数据操作及线性代数运算(矩阵乘积、矩阵方程求解、特征值、奇异值分解)
支持多种动态数据结构(链表、队列、数据集、树、图)
基本图像处理(去噪、边缘检测、角点检测、采样与插值、色彩变换、形态学处理、直方图、图像金字塔结构)
结构分析(连通域/分支、轮廓处理、距离转换、图像矩、模板匹配、霍夫变换、多项式逼近、曲线拟合、椭圆拟合、狄劳尼三角化)
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