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二维小波变换
- 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F
projective-and-affine
- 基于三维空间三角网格的二维投影图像变换，包括3D仿射变换，基础矩阵求解及欧式空间的重构，对基于图像的三维重构有研究的朋友可以看下-triangular grid transform two-dimensional projection images, including 3D affine transformation, based Matrix Solution and European space reconstruction, b
FRIT
- 计算小波变换的Mallat算法需要逐级分解和重构，而本文通过矩阵变换方法，给出不需逐级计算的小波分解和重构矩阵的构造方法，并给出9/7小波的分解和重构矩阵的基向量及波形图。-Calculation of the Mallat algorithm of wavelet transform decomposition and reconstruction needs level, and this article through the m
torrsam
- 三维重构的程序，包括角点检测，匹配，F矩阵的计算等-Three-dimensional reconstruction procedures, including corner detection, matching, F matrix calculation
MBasicMatrix
- 用MATLAB实现计算机视觉中三维重构所需的基本矩阵的运算-Using MATLAB realize three-dimensional reconstruction in computer vision the basic matrix operations
2D-Wavelet-Transformation
- 用DWT实现二维小波变换,调原始图像矩阵后进行二维小波分解，重构源图像及结果显示-Wavelet transform in 2-D dimentation
BP_Simplex
- 使用BP算法实现压缩感知信号重构,需要已知观测空间基矩阵和观测向量-BP_Simplex,BP with a Simplex mplementation
calculate_F
- 计算用于双目视觉的基本矩阵，以此进行三维重构和坐标点测量-calculate F
Matrix-based-reconstruction-method-for-source-numb
- 基于矩阵重构的信源数估计方法Matrix-based reconstruction method for source number estimation-Matrix-based reconstruction method for source number estimation
hadamard
- 压缩感知算法中观测矩阵为哈达玛矩阵重构算法为OMP时的测量相对误差与观测矩阵维数的关系-Compressed sensing algorithm for the Hadamard matrix of observation matrix reconstruction algorithms for the OMP and the relative error when measuring the dimension of the rela
toeplitz-doaguji
- 用toplitze 矩阵重构法实现相干信源来波方向估计-using the method of matrix reconsructing to realize the estimation of DOA of coherent singnal
Toeplitz
- 在多径信号下的采用toeplitz来进行矩阵重构，对信号到达角进行估计-Using Toeplitz matrix reconstruction, DOA estimation under multipath signals
y3
- 利用矩阵重构，在小样本下，实现了比常规MUSIC更高的分辨精度-Use of matrix remodeling, in small sample situation, implementation than conventional MUSIC higher resolution
SW
- 压缩感知重构信号，博弈获得收益，要所感知根据收益矩阵重构网络-compressive sensing
aprgca
- 基于近邻梯度法的低秩矩阵重构程序，可以用于图像分割，将目标图像分割为背景和前景，从而将前景分离出来。-Based neighbor gradient method low rank matrix reconstruction procedures can be used for image segmentation, the target image into background and foreground, which will
IALM
- 基于不精确拉格郞日算子法的低秩矩阵重构程序，可以用于图像分割，将目标图像分割为背景和前景，从而将前景分离出来。-Lagrangian method based on imprecise low rank matrix reconstruction procedures can be used for image segmentation, the target image into background and foreground,
CM_Reconstruct_RABF
- 基于干扰协方差矩阵重构的鲁棒波束形成算法-robust Adaptive beamforming based covariance matrix Reconstructing
fpc_v2
- 矩阵重构算法 FPC matlab 编程语言。(It is FPC algorithm based on matlab. It is very useful.)
非负矩阵重构图像
- 非负矩阵重构图像，用lena图片重构效果还行(All the documents of tensor decomposition)
矩阵重构DOA估计算法
- 基于矩阵重构的DOA估计算法，包含DSVD算法和ESVD算法(The DOA estimation algorithm including DSVD and ESVD)