MaxPooling

基于稀疏分解的单个信号盲分离，从多个混合信号中，提取出我们需要的信号(Sparse decomposition based on a single blind signal separation, from the number of mixed-signal, we need to extract the signal)

脆弱水印的编程实现是一种基于空间域的脆弱数字水印如何嵌入 脆弱水印的编程实现(Programming fragile watermarking is based on spatial domain fragile watermarking to embed the fragile watermark Programming)

Writes a mesh to a ply file (text format) wich can be read by PlyView from Cyberware and Scanalyze from Stanford University. Both are available for free

LDPC with noise AWGN

RC2 Parameter Spec implements Algorithm Parameter Spec.

说明：  粒子群优化算法(PSO：Particle swarm optimization) 是一种进化计算技术（evolutionary computation）。源于对鸟群捕食的行为研究。粒子群优化算法的基本思想：是通过群体中个体之间的协作和信息共享来寻找最优解．(PSO (Particle Swarm Optimization) is an evolutionary computation. It comes from studying the behavior of flocks of birds. The basic idea of particle swarm optimization algorithm is to find the optimal solution through the cooperation and information sharing among the individuals in the group.)

说明：  用matlab程序编写，计算分形图像的计盒维数。(Programming using matlab to calculate the fractal box dimension image.)

最经典的通信仿真教程：simulation of communication systems modeling methodology and techniques(Classic communication simulation tutorials: simulation of communication systems modeling methodology and techniques)

Some algorithms of variable step size LMS adaptive filtering are studied．The VS—LMS algorithm is improved． Another new non-linear function between肛and e(／ t)is established．The theoretic analysis and computer simulation results show that this algorithm converges more quickly than the origina1．Furthermore，better antinoise property is exhibited under Low—SNR environment than the original one．(variable step size of a LMS daptive filtering are studied. The VS-LMS algorithm is improved. Another new non-linear function between anus and e (/ t) is established. The theoretic analysis and computer simulatio n results show that this algorithm converges mo 're quickly than the origina1. Furthermore, better antinoise property is exhibited under L ow- SNR environment than the original one.)

m序列产生m序列产生m序列产生m序列产生m序列产生m序列产生(m-sequence generator m sequence generation m-sequence generator m-sequence generator m sequence generation m-sequence generator)