Gsapvitessevariable2

The TCRT1000/ TCRT1010 have a compact construction where the emitting-light source and the detector are arranged in the same direction to sense the presence of an object by using the reflective IR-beam from the object. The operating wavelength is 950 nm. The detector consists of a phototransistor.

L-D算法迭代matlab程序，详细流程，易于理解和学习。(LD iterative algorithm matlab procedures, detailed procedures, easy to understand and learn.)

该算法用来画出智能天线均匀线阵的分辨力比较图。可以分析不同阵元数对ULA分辨力的影响。(This is a digram of resolution of DOA estimation for ULA.)

基于bregman算法在一维、二维、三维信号处理中的应用matlab工具箱(This toolbox provides the source code associated with the Bregman Cookbook Doc: - BregmanCookbook.pdf In 1D: -L1_SplitBregmanIteration.m : performs the recovery of a sparse signal affected by a known linear operator In 2D: -AddCurveletArray.m : sum the curvelet coefficients of two decomposition structures -AddFrameletArray.m : sum the framelet coefficients of two decomposition structures -ATV_NB_Deconvolution.m : performs the Nonblind Anisotropic Total Variation Deconvolution -ATV_ROF.m : performs the Anisotropic Total Variation Denoising -ITV_ROF.m : performs the Isotropic Total Variation Denoising -Curvelet_NB_Deconvolution.m : performs the Nonblind Deconvolution based on Curvelet sparsity -Framelet_NB_Deconvolution.m : performs the Nonblind Deconvolution based on Framelet sparsity (Analysis approach) -Framelet_NB_Deconvolution2.m : performs the Nonblind Deconvolution based on Framelet sparsity (Synthesis approach) -ShrinkCurvelet.m : performs the shrinkage of cu)

Commande Matlab de la MAS

拉格朗日插值法，输入x，y，再输入变量xi，就可以求得yi。(Lagrange interpolation method, the input x, y, and input variables xi, yi obtained.)

求矩阵特征值和特征向量的算法：QR算法。用于线性方程组的求解，和反幂法算法的设计(Matrix eigenvalues and eigenvectors of the algorithm: QR algorithm. For linear equations, and anti-power-law algorithm design)

Matlab教训，PPT格式，从入门到精通。(Matlab lessons, PPT format, from entry to the master.)

bit-interleaved coded modulation (BICM-ID) with 8psk

改代码使用CCE方法来实现数据挖掘中多示例学习的过程。(CCE implements the algorithm described in [1], where Gaussian kernel LibSVM [2] is used as the base learner for transformed feature vectors.)