ycrbeamforming

运用矩量法，计算平行方板（互联和非互联）的电参数，源代码详细(Using the method of moments to calculate the parallel side plates (Internet and non-Internet) the electrical parameters, source code detailed)

L3_1.m: 純量量化器的設計(程式) L3_2.m: 量化造成的假輪廓(程式) L3_3.m: 向量量化器之碼簿的產生(程式) L3_4.m: 利用LBG訓練三個不同大小與維度的碼簿並分別進行VQ(程式) gau.m: ML量化器設計中分母的計算式(函式) gau1.m: ML量化器設計中分子的計算式(函式) LBG.m: LBG訓練法(函式) quantize.m:高斯機率密度函數的非均勻量化(函式) VQ.m: 向量量化(函式) L3_2.bmp: 影像檔 lena.mat: Matlab的矩陣變數檔 (L3_1.m: scalar quantizer design (the program) L3_2.m: quantitative result of the false contour (the program) L3_3.m: Vector quantizer code book of the generation (the program) L3_4.m: training in the use of LBG three different size and dimension of the code book and separate VQ (program) gau.m: ML quantizer design in the denominator of the calculation formula (function) gau1.m: ML quantizer design in the calculation of molecule-type ( function) LBG.m: LBG training method (function) quantize.m: Gaussian probability density function of the non-uniform quantization (function) VQ.m: vector quantization (function) L3_2.bmp: image file lena.mat: Matlab matrix variable file)

本文简述了DSP处理器的发展概况，着重介绍了TMS320VC5402 DSK的软、硬件平台，并介绍了一个基于此平台的自适应数字滤波器的算法实验。(This paper introduced the development of DSP and emphasized on the software and hardware workbench of TMS320VC5402 DSK. An experimental example of adaptive filter algorithm was given.)

matlab code brain computer analysis

经典无网格教程的无网格算法的例程，属于第六章例程(Classical meshless tutorial meshless algorithm routine, part of Chapter VI of the routine)

对数据进行EOF分解，得到数据的空间分布和时间系数，进行时空分析。(EOF on the data decomposition, get the spatial distribution and the time coefficient data, spatio-temporal analysis.)

power system stability equal area matlab code

this pdf provide good information about the topology control.

As digital computers cannot generate true random numbers. So a pseudo random number generator must have uncorrelated sequences, long period, uniformity and efficiency. ‘myrand.m’ has pass the chi square test for uniform distribution.

敝人最近整理的关于MatLab中的遗传算法工具箱Gads的资料，不敢独享，希望能起到一定的帮助作用(myself recently finishing on the MatLab genetic algorithm toolbox Gads information, not exclusive, hope to play a helpful role)