Digital-Cmmunication-Simulation

SRGB 数据转换为RGB数据的源代码，适合色彩学相关人员使用(SRGB data into RGB data, source code, suitable for school-related personnel to use color)

关于模拟调制解调的源代码，am,ssb,dsb,pm,fm(Analog modem on the source code, am, ssb, dsb, pm, fm)

simple frog leep algorithm

均匀园阵doa估计music算法源程序，实现对均匀园阵doa估计(Park doa uniform array algorithm estimates source music, to achieve uniform estimates doa Park array)

核磁共振地下水探测数据处理软件,直接叠加,加权叠加,统计叠加等(NMR data processing software to detect underground water, direct superposition, weighted superposition, statistics and other superimposed)

OFDM and demodulation

huffman编码GUI界面及其代码设计(huffman coding GUI design)

Abstract There are a number of interesting variable selection methods available beside the regular forward selection and stepwise selection methods. Such approaches include LASSO (Least Absolute Shrinkage and Selection Operator), least angle regression (LARS) and elastic net (LARS-EN) regression. There also exists a method for calculating principal components with sparse loadings. This software package contains Matlab implementations of these functions. The standard implementations of these functions are available as add-on packages in S-Plus and R. Keywords LASSO, LARS, SPCA, Matlab, Elastic Net, Sparse, Sparsity, Variable selection

harris角点检测，用matlab实现(harris corner detection)

feature map for histogram intersection, map the data from hist intersection kernel to linear kernel(feature map for histogram intersection)