Description: 关于二维小波变换的程序 [精华]
说明：此算法重在概念，速度并不是很快。因为FOR循环的缘故。此程序从循环矩阵的观点出发，把圆周卷积和快速幅里叶变换建立了联系。实现了分解和无失真重构。它只做了一层分解，即将256x256图形分解成为64x64的四个图形，避免了使用WKEEP()的困惑。主要思想为用小波滤波器族构造正交阵W,变换写为B=W*A*W ,反变换为：A=W *A*W,这与所有正交变换无异。W为循环正交矩阵，因此可用FFT实现快速运算，难点就在重构矩阵上。若用矩阵概念明确，一个共扼转置可以搞顶。但FFT的使用必须找到与分解序列的关系。-on Wavelet Transform procedures [best] Note : This algorithm important concept is not speed quickly. Because FOR cycle nowadays. This program cycle from the point of view of Matrix, circular convolution and fast Fourier transform is established links. To achieve the decomposition and reconstruction without distortion. It only had one decomposition, 256x256 graphics will be 64x64 decomposition of the four graphics, avoiding the use of WKEEP () confusion. The main idea of using wavelet filter generator orthogonal array W, write to transform B = W * A * W, anti-Transform : A = W * A * W, which is orthogonal transformation all the same. W cycle orthogonal matrix, can be used to achieve rapid FFT computation, on the difficult reconstruction matrix. If a clear matrix concept, a home to a total o Platform: |
Size: 3785 |
Author:罗松溪 |
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Description: 关于二维小波变换的程序 [精华]
说明：此算法重在概念，速度并不是很快。因为FOR循环的缘故。此程序从循环矩阵的观点出发，把圆周卷积和快速幅里叶变换建立了联系。实现了分解和无失真重构。它只做了一层分解，即将256x256图形分解成为64x64的四个图形，避免了使用WKEEP()的困惑。主要思想为用小波滤波器族构造正交阵W,变换写为B=W*A*W ,反变换为：A=W *A*W,这与所有正交变换无异。W为循环正交矩阵，因此可用FFT实现快速运算，难点就在重构矩阵上。若用矩阵概念明确，一个共扼转置可以搞顶。但FFT的使用必须找到与分解序列的关系。-on Wavelet Transform procedures [best] Note : This algorithm important concept is not speed quickly. Because FOR cycle nowadays. This program cycle from the point of view of Matrix, circular convolution and fast Fourier transform is established links. To achieve the decomposition and reconstruction without distortion. It only had one decomposition, 256x256 graphics will be 64x64 decomposition of the four graphics, avoiding the use of WKEEP () confusion. The main idea of using wavelet filter generator orthogonal array W, write to transform B = W* A* W, anti-Transform : A = W* A* W, which is orthogonal transformation all the same. W cycle orthogonal matrix, can be used to achieve rapid FFT computation, on the difficult reconstruction matrix. If a clear matrix concept, a home to a total o Platform: |
Size: 3072 |
Author:罗松溪 |
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Description: 离散余弦变换(D iscrete Cosine Transform )简称D CT,是一种实数域变换,其变换核为实数的余弦函数,除了具有一般的正交变换性质外,它的变换阵的基向量能很好地描述图像信号的相关特征,所以在图像信号的变换中,D CT变换被认为是一种准最佳变换。
-discrete cosine transform (D iscrete Cosine Transform) referred D CT it is a real domain transform, transform its nuclear real number of cosine function, in addition to the general nature of the orthogonal transformation, its transformation matrix-vector can be a good image to describe the relevant characteristics of the signal, the image signal transformation, D CT transformation has been seen as a potential best transformation. Platform: |
Size: 291840 |
Author:刘东 |
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Description: ％ 奇异值分解 (sigular value decomposition,SVD) 是另一种正交矩阵分解法；SVD是最可靠的分解法，
％ 但是它比QR 分解法要花上近十倍的计算时间。[U,S,V]=svd(A)，其中U和V代表二个相互正交矩阵，
％ 而S代表一对角矩阵。 和QR分解法相同者， 原矩阵A不必为正方矩阵。
％ 使用SVD分解法的用途是解最小平方误差法和数据压缩。用svd分解法解线性方程组，在Quke2中就用这个来计算图形信息，性能相当的好。在计算线性方程组时，一些不能分解的矩阵或者严重病态矩阵的线性方程都能很好的得到解- Singular value decomposition (sigular value decomposition, SVD) is another orthogonal matrix decomposition method SVD decomposition is the most reliable method, but it takes more than QR decomposition near ten times the computing time. [U, S, V] = svd (A), in which U and V on behalf of two mutually orthogonal matrix, and the S on behalf of a diagonal matrix. And QR decomposition are the same, the original matrix A is no need for the square matrix. The use of SVD decomposition method are used as a solution of least squares error method and data compression. Using SVD decomposition solution of linear equations, in Quke2 on to use this information to calculate the graphics performance quite good. In the calculation of linear equations, some indecomposable matrix or serious pathological matrix of linear equations can be a very good solution Platform: |
Size: 3072 |
Author:zhxj |
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Description: 包含随机序列生成函数和正交复指数矩阵生成函数-Contains the random sequence generating function and the orthogonal matrix of complex exponential generating function Platform: |
Size: 1024 |
Author:秦丽 |
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Description: 正交最小二乘辨识算法
该算法除了实现最小二乘辨识功能之外而且能按照各项重要性将其逐一选出并且估计相应系数-OLS Orthogonal Least Quares.
[x, ind] = OLS(A,b,r) gives the solution to the least squares problem
using only the best r regressors chosen from the ones present in matrix A.
This function also returns in the vector ind the indexes of the
best r regressors (i.e., the best columns of A to use).
If r is equal to n, the solution x given by OLS is the same as the solution
given by A\b, but in ind we still have the regressors sorted by their
importance. This means that one can perform a feature selection by taking
the first k entries in ind (k<r). Platform: |
Size: 5120 |
Author:王詹 |
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Description: 用Jacobi方法求正交矩阵的特征值与特征向量-Orthogonal matrix with the Jacobi method for solving the eigenvalues and eigenvectors Platform: |
Size: 1024 |
Author:张皓 |
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Description: 这个程序是基于OPENCV的实现矩阵正交化，我用了挺好用-This program is based on the realization of OPENCV orthogonal matrix, I used the very good use Platform: |
Size: 508928 |
Author:邢春 |
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Description: 弱时频正交性条件下的混合矩阵盲估计Orthogonal frequency weak mixing matrix under the conditions of blind estimation-Orthogonal frequency weak mixing matrix under the conditions of blind estimation Platform: |
Size: 62464 |
Author:soos1001 |
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Description: 正交矩阵与正交变换的课件，总结的非常好，利于理工类的学生对数学知识的加深-Orthogonal matrix with orthogonal transformation of the courseware, lessons very well, which will help students in science and engineering to enhance the knowledge of mathematics Platform: |
Size: 97280 |
Author:刘斐 |
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Description: 病态矩阵分析 多角度阐明什么是病态矩阵 并且采用了正交化的处理来解病态矩阵-Pathological matrix multi-angle matrix and to clarify what is ill treatment by the orthogonal matrix to solve ill Platform: |
Size: 313344 |
Author:鲍庆嘉 |
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Description: 数据降维算法
K_L变换是一种最优正交变换，以矢量信号X的协方差矩阵Ф的归一化正交特征矢量q所构成的正交矩阵Q，来对该矢量信号X做正交变换Y=QX，则称此变换为K-L变换（K-LT或KLT）。-Data reduction algorithm K_L optimal orthogonal transform is a transformation to vector signal covariance matrix Ф X normalized orthogonal feature vector composed of q orthogonal matrix Q, to be orthogonal to the vector signal X transformation Y = QX, called the KL transform transform (K-LT or KLT). Platform: |
Size: 2048 |
Author:刘飞 |
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Description: 一种基于正交投影的波束形成算法。首先由 MVDR算法确定初始权向量 其次根据该权向量与
其它用户波达角方向的关系 ,建立干扰信号的导向矢量矩阵 然后通过正交投影原理 ,将期望信号的导向矢量投影
到干扰信号的零空间上 ,从而求得最优权值。仿真结果证明了该算法的有效性。-An orthogonal projection beamforming algorithms. First, by the MVDR algorithm to determine the initial weight vector Second, according to the weight vector and the angle of arrival direction of other users, and setting up the steering vector matrix interference signal then the orthogonal projection principle, the expected signal to interference signal steering vector projection zero space, and thus obtain the optimal weights. Simulation results show the effectiveness of the algorithm. Platform: |
Size: 329728 |
Author:晨曦 |
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Description: QR分解法是三种将矩阵分解的方式之一。这种方式，把矩阵分解成一个正交矩阵与一个上三角矩阵的积。QR 分解经常用来解线性最小二乘法问题。QR 分解也是特定特征值算法即QR算法的基础。-QR decomposition are the three ways of decomposition of the matrix. In this way, the matrix decomposition into an orthogonal matrix and an upper triangular matrices. QR decomposition is often used for solving linear least squares problems. QR decomposition algorithm is given that QR eigenvalue algorithms. Platform: |
Size: 1024 |
Author:徐默涵 |
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Description: 实现9/7小波正反变换
注1： 采用标准正交方法，对行列采用不同矩阵（和matlab里不同）
注2： 为了保证正交，所有边界处理，全部采用循环处理
注3： 正交性验证，将单位阵带入函数，输出仍是单位阵（matlab不具有此性质）
注4： 此程序是矩阵实现，所以图像水平分量和垂直分量估计被交换位置
注5： 此程序实现的是类小波（wavelet-like）变换，是介于小波包变换与小波变换之间的变换
注6： 此程序每层变换相对原图像矩阵，产生的矩阵都是正交阵，这和小波包一致
注7： 但小波变换每层产生的矩阵，是相对每个待分解子块的正交矩阵，而不是原图像的正交矩阵
注8： 且小波变换产生的正交矩阵维数，随分解层数2分减少
注9: 提升系数可以在MATLAB7.0以上版本，用liftwave( 9.7 )获取，这里直接给出，考虑兼容性
注10：由于MATLAB数组下标从1开始，所以注意奇偶序列的变化
注11：d为对偶上升，即预测；p为原上升，即更新-Note 1: The standard orthogonal method, the ranks of the different matrices (and matlab where different)
Note 2: In order to ensure orthogonality, all boundary treatment, all with recycling
Note 3: Orthogonal validation, the identity matrix into the function, the output is still the unit matrix (matlab does not have this property)
Note 4: This program is a matrix to achieve, so the image horizontal and vertical components is estimated to be swapped
Note 5: This class implements the wavelet (wavelet-like) transformation, is between the wavelet packet transform and wavelet transform between
Note 6: This procedure transforms each image relative to the original matrix, the resulting matrix are orthogonal matrix, consistent with this and wavelet packet
Note 7: But each generation wavelet transform matrix, is to be broken down for each sub-block relative to the orthogonal matrix, rather than the original image of the orthogonal matrix
Note 8: Wavelet transf Platform: |
Size: 2048 |
Author:徐程序 |
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Description: 可以用来求任意形式矩阵的正交矩阵，同时可以用来进行矩阵的QR分解-Can be used to seek any form of matrix orthogonal matrix, the matrix also can be used for the QR decomposition Platform: |
Size: 1111040 |
Author:瞪剜掏 |
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Description: 矩阵分解的一种方式。把矩阵分解成一个正交矩阵与一个上三角矩阵的积-One way for matrix decomposition.Matrix will be decomposed into the product of an orthogonal matrix and an upper triangular matrix Platform: |
Size: 2048 |
Author:紫罗兰 |
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Search - orthogonal matrix