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压缩感知里面的稀疏重建问题，在原来MP的算法的基础上，提出了分块的思想，即将原子库分块后，测试算法的性能。(Compressive sensing is refered as the block sparse algorithm is described,that is based on the original MP algorithm,and the atom libruary is divided into blocks ,and the performance is testified.)

BCH(15,11,1)+交织编解码matlab代码(BCH (15,11,1) with interleaver matlab code )

Adaptive Filter_Simon Haykin_Matlab_code STBC

Scale invariance in Template matching

main_PC_Shorten.m polarDec_S_Change.m rev_shuffle.m polarEnc.m PCencoder.m attachCRC.m capacities.m crcCheck.m encoder.m genSrc.m initialize_frozen_bits.m likelihood_rate.m path_matrix.m path_metric.m paeeword: share_20180410

方波函数的傅里叶展开-自己编的小程序，希望能有所帮助(Square wave function )

RASTA-PLP Speaker Identification

GA for flow shop,include GA and SMGA,need ga toolbox(GA and SMGA)

This function computes the RMS feature of the signals in x,which are stored in columns. The signals in x are divided into multiple windows of size winsize and the windows are space wininc apart. Inputs x: columns of signals winsize: window size (length of x) wininc: spacing of the windows (winsize) datawin: window for data (e.g. Hamming, default rectangular) must have dimensions of (winsize,1) dispstatus:zero for no waitbar (default) Outputs feat: RMS value in a 2 dimensional matrix dim1 window dim2 feature (col i is the features for the signal in column i of x)

This text provides an introduction to the numerical methods that are typically encountered (and used) in science and engineering undergraduate courses. The material is developed in tandem with MATLAB which allows rapid prototyping and testing of the methods. The package MATLAB (matrix laboratory) pro- vides an environment in which students can learn to programme and explore the structure of the numerical methods. The methods included here are of a basic nature and only rely on material which should have been explored prior to the fi rst year undergraduate stage.