Fast Infogram

Matlab controlled robot

In computer science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. PSO optimizes a problem by having a population of candidate solutions, here dubbed particles, and moving these particles around in the search-space according to simple mathematical formulae over the particle s position and velocity. Each particle s movement is influenced by its local best known position and is also guided toward the best known positions in the search-space, which are updated as better positions are found by other particles. This is expected to move the swarm toward the best solutions.

SVM faruto version，在libsvm的基础上添加函数而成(SVM faruto version, based on the libsvm )

What is a data warehouse? Data warehouse architecture From data warehousing to data mining

full brididge dc dc converter

2D FFT的源代码，图形显示变换结果，关键代码有详细注释(2D FFT source code)

语音信号处理中的，小波变换去噪基本算法的源程序，对初学者有一定的参考价值。(Speech signal processing, wavelet transform denoising basic algorithm of the source, for beginners with some reference value.)

带压缩因子的粒子群算法，来自于《精通MATLAB最优化计算》(pso with compressibility factor)

通过MATLAB仿真来讨论比较二元霍夫曼编码、三元霍夫曼编码以及信源扩展编码的效率，来实现霍夫曼码的优化构造(By MATLAB simulation to compare two yuan Huffman discussed, ternary Huffman coding and source coding efficiency extended to achieve optimization of Hoffman Construction Code)

一个提取遥感影像光谱特征的程序，易于理解，分类精度高(An extraction of remote sensing image spectral characteristics of the program, easy to understand, high classification accuracy)