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SPARCO is an environment for testing and benchmarking algorithms for sparse reconstruction. It includes a collection of sparse reconstruction

使用Matlab的M文件实现的SVPWM程序，包含调制区和过调制区两个过程，文件包含主程序和子程序，经过测试可行。(Using Matlab M-file to achieve SVPWM program consists of two processes modulation region and over-modulation region file contains the main program and subroutines, tested feasible.)

用二分法和简单迭代法计算 在[1，2]内的近似根，要求精度达到10-4和10-5，并给出二分和迭代的次数，分析和比较算法的效率差异，最后与理论估计的二分和迭代次数作比较。(Calculated by the dichotomy and simple iterative method in [1,2] within the approximate root, requiring precision 10-4 and 10-5, and gives two points and the number of iterations, the efficiency gap analysis and comparison algorithms, and the final theory two points and the estimated number of iterations for comparison.)

Simpson integration method(1/3)

Singular value decomposition takes a rectangular matrix of gene expression data (defined as A, where A is a n x p matrix) in which the n rows represents the genes, and the p columns represents the experimental conditions.

this is the histogram for color image

FOR HELP AND DOCUMENT FOR POWER FCD C

DSP toolbox for Matlab

PATTERN MATCHING METHOD.ITS USED FOR SHAPE CONTEXT PROCESS

此程序主要演示通道间幅度误差对DBF旁瓣电平的影响。(This program is mainly to demonstrate of effect of channel amplitude errors on the sidelobes of DBF.)