3newantennaprogswithfig

his algorithm was proposed by Quinlan (1993). The C4.5 algorithm generates a classification-decision tree for the given data-set by recursive partitioning of data. The decision is grown using Depth-first strategy. The algorithm considers all the possible tests that can split the data set and selects a test that gives the best information gain. For each discrete attribute, one test with outcomes as many as the number of distinct values of the attribute is considered. For each continuous attribute, binary tests involving every distinct values of the attribute are considered. In order to gather the entropy gain of all these binary tests efficiently, the training data set belonging to the node in consideration is sorted for the values of the continuous attribute and the entropy gains of the binary cut based on each distinct values are calculated in one scan of the sorted data. This process is repeated for each continuous attributes.

说明：  This code is to give a brief analysis of the famous GA alogrithm.

PV Array matlab file good for basisc

代码里有很完整的注释和解释，BP神经网络用于函数拟合与模式识别，粒子图像分割及匹配均为自行编制的子例程，到达过程是的泊松过程，时间序列数据分析中的梅林变换工具，表示出两帧图像间各个像素点的相对情况。

extern的用法，本文较详细的介绍了extern的用法及注意事项。(extern usage, this paper describes in detail the usage of extern and precautions.)

一个关于，神经网络预测投资对GPD的影响的实例(A neural network to predict, the influence of GPD investment)

基于Matlab编写的Rake接收机的基本程序，包含扩频序列的生成，多径延迟等(Written in Matlab based on the basic procedures Rake receiver, including the generation of spreading sequences, multipath delays)

hi this is the code for svd in ieee 14 bus system

matlab code for mfcc

流形学习的matlab集成代码，包括经典的LLE等算法(manifold learning for matlab)