Search - subspace matl

Search - subspace matl - List

[matlab] lkk_esprit DL : 0: 旋转不变子空间esprit算法对波达方向估计源程序-rotation invariant subspace esprit algorithm right direction- source
Update : 2025-02-19 Size : 1kb Publisher : 罗恺
[matlab] Subspace_Learning_Codes DL : 0: 流形学习代码，典型的子空间学习方法，可用于人脸识别-manifold learning code, the typical learning space, which can be used for face recognition
Update : 2025-02-19 Size : 170kb Publisher : 黄鸿
[matlab] subspace DL : 0: 子空间分解matlab程序。采用PCA主成元分析方法。-Subspace Decomposition matlab procedures. Using PCA Principal Component Analysis.
Update : 2025-02-19 Size : 1kb Publisher : shiyu
[Algorithm] ppca DL : 0: Probabilistic Principal Components Analysis. [VAR, U, LAMBDA] = PPCA(X, PPCA_DIM) computes the principal ％ component subspace U of dimension PPCA_DIM using a centred covariance matrix X. The variable VAR contains the off-subspace variance (which is assumed to be spherical), while the vector LAMBDA contains the variances of each of the principal components. This is computed using the eigenvalue and eigenvector decomposition of X.-Probabilistic Principal Components Analysis. [VAR, U, LAMBDA] = PPCA (X, PPCA_DIM) computes the principal component subspace U of dimension PPCA_DIM using a centred covariancematrix X. The variable VAR contains the off-subspace variance (whichis assumed to be spherical ), while the vector LAMBDA contains thevariances of each of the principal components. This is computedusing the eigenvalue and eigenvector decomposition of X.
Update : 2025-02-19 Size : 1kb Publisher : 西晃云
[Compress-Decompress algrithms] MMA10 DL : 0: This an example using the Subspace Pursuit Algorithm of Wei Dai and Olgica Milenkovic "Subspace Pursuit for Compressive Sensing: Closing the Gap Between Performance and Complexity" In order to run this example you need to install all these m.files in the same directory and type trialSP at the prompt. Written by Igor Carron http://nuit-blanche.blogspot.com Creative Commons Licence with attribution- This is an example using the Subspace Pursuit Algorithm of Wei Dai and Olgica Milenkovic "Subspace Pursuit for Compressive Sensing: Closing the Gap Between Performance and Complexity" In order to run this example you need to install all these m.files in the same directory and type trialSP at the prompt. Written by Igor Carron http://nuit-blanche.blogspot.com Creative Commons Licence with attribution
Update : 2025-02-19 Size : 2kb Publisher : andy