CODES-APR-2010

solving TSP using Hopfield Neural Network

DOCUMENT FOR BASIC LEARNING OF COMMUNICATION IN VARIOUS ASPECTS.

基于墨西哥草帽小波和BP神经网络算法实现预测分析。(Predictive analysis based on Mexican hat wavelet and BP neural network algorithm.)

说明：  这是粒子群优化算法的实现，求解多模态函数非常使用(This is the Particle Swarm Optimization algorithm to solve multi-modal function is the use of)

guassian low pass filter

对轴承故障信号进行小波包分解，重构能量最大的频段信号，并对该重构信号计算样本熵(Decomposing the bearing fault signal using waveletpackage method ,and reconstruct the maximum energy frequency band ,and then accumulate the sample entropy of the reconstructed signal )

matlab环境下的支持向量机源代码，支持支持向量机在小样本分析方面有很好的优势。(This is the source code of SVM in Matlab environment which is very ussful for analysis a small sample to support for classing.)

本文对V-BLAST系统进行仿真，仿真比较采用干扰消除和无干扰消除的系统误帧率与SNR的关系曲线，并进行比较。(V-BLAST system simulation, simulation was used to compare the interference cancellation and without interference cancellation system, the frame error rate and SNR curve, and compare them.)

说明：  This code for shift factor problems

用户选择算法的信道容量仿真。公平性因子设计及仿真。(user selection with sum capacity of channel. fairness factor design.)