MachineearningNeuralandStatisticalClassification

说明：  IEEE 30 BUS TEST SYSTEM,可运行(IEEE 30 BUS TEST SYSTEM, and it can be succesfully used.)

The source code simulates BER of OFDM system implemented using discrete cosine transform.

此程序是基于小波变换，并利用二维小波变换对图像进行编码(Using two-dimensional wavelet transform for image coding)

基于灰色神经网络的预测算法—订单需求预测(Grey Neural Network Based Prediction Algorithm- order demand forecast)

这是一个关于BPSK在高斯信道的仿真程序，仿真最后给出BPSK在高斯信道的信噪比 误码率曲线(This is a BPSK in Gaussian channel on the simulation, emulation BPSK given the signal to noise ratio in Gaussian channel bit error rate curve)

利用rbf网络实现函数逼近的功能没使用神经网络工具箱(rbf function approximation implementation)

O-QPSK modulation and demodulation taking into account Multi-path Fading

Turbo码和LDPC码在深空通信中应用的及其发展(The Development of Turbo and LDPC Codes for Deep-Space Applications)

基于MATLAB7.0的统计信息处理，很厚的一本书，包含了特多的统计学算法及MATLAB实现，比如隐马尔科夫连，最小二乘法等统计学算法(Statistical information processing based on MATLAB7.0 very thick book that contains a special number of statistical algorithms and MATLAB implementation, such as hidden Markov with, least squares, a statistical algorithm)

用互相关法实现时延差估计，时延差是使用TDOA算法实现定位的关键步骤！！！(use cross correlation function to estimate the time delay，time difference is a very important parameter when using the TDOA algorithm to positioning！)