MXFEM-1d3

function [clusters,c,F]=fisher_classify(A,B,data) fisher判别法程序 输入A、B为已知类别样本的样本-变量矩阵，data为待分类样本 输出C为判别系数向量 (function [clusters, c, F] = fisher_classify (A, B, data) fisher discriminant method procedures input A, B for a sample of known types of samples- variable matrix, data to be classified as output samples for discriminant coefficient vector C)

分别用普通构建方式和显示列表对物体进行绘制，实现各种复杂的交互控制(Were built with ordinary ways and display a list of objects to draw, to achieve a variety of complex interactive control)

说明：  可以通过输入刚度或阻尼数组，生成刚度（阻尼）矩阵。(The stiffness (damping) matrix can be generated by input stiffness or damping arrays.)

神经网络讲义，共八讲，主要讲述了神经网络发展史以及几个经典的人工神经网络(Neural network handouts, a total of eight speakers, mainly about the history of neural networks as well as several classic artificial neural network)

The function of channel estimation is to form an estimate of the amplitude

modulationshaped成型滤波的设计

信道的频率响应是时变的，设计最佳的固定的解调滤波是不可能的，因此，需要一种能补偿或减少接收信号中ISI的方法，这种ISI补偿方法称为均衡方法。 自适应均衡技术能够用来抵消由于信道带限或时间色散所导致的码间干扰，可以使通信系统更有效地利用信道带宽。 (Channel frequency response is time-varying, the best fixed design demodulation filter is impossible, therefore, need to be able to receive compensation or reduce the signal in the ISI method, the ISI compensation is called a balanced approach. Adaptive equalization techniques can be used to offset the channel band-limited or time dispersion caused by the inter-symbol interference can make communication systems more efficient use of channel bandwidth.)

matlab的基础教学，对于从来没有学习过matlab的同学，该文档可以提供由浅入深的详细介绍与说明。(matlab basis for teaching, never studied matlab for students, the document provides a detailed description and explanation progressive approach.)

基于k-l分解算法的正弦信号分离算法，用于实现强背景噪声下正弦信号恢复(Sine signal separation algorithm based on k-l expansion algorithm ,which is useful in sine signal getting from strong background noise)

基于RFE特征选择方法的多分类特征排序，Matlab平台(Multi class feature ranking based on RFE method)