matlab

说明：  BP神经网络的数据分类-语音特征信号分类(BP Neural Network for Data Classification- Classification of speech feature signals)

关于有限元分析网格化分的程序，一般用于有限元分析的前处理阶段。(On sub-grid finite element analysis program, generally used for finite element analysis of pre-processing stage.)

基本最小二乘估计递推算法matlab实现及绘图，以及生成M序列(Basic recursive least squares estimation algorithm and M series)

计算不同大小球形粒子集合的散射,粒子大小分布在fd.m文件中更改(calculation of scattering by sphere particles which has different sizes discribed by a distribution function)

一些介绍系统参数辨识方法的论文，包括迭代梯度算法，最小二乘算法等。很好的资料。(Some paper describes the system parameter identification methods, including iterative gradient algorithm, least squares algorithm. Good information.)

lpp降维，给了很多详细的例子的降维程序，并画出图像的2维表示(dimension reduction using lpp)

按照KC Ho 的一篇论文Source Localization Using TDOA and FDOA Measurements in the Presence of Receiver Location Errors_ Analysis and Solution写的仿真代码，用于3基站以上对固定目标进行定位，方法是两步最小二乘，实际上第二步完全不能用，不知道是不是自己写的有问题，欢迎讨论~(According to the paper "Source Localization Using TDOA and FDOA Measurements in the Presence of Receiver Location Errors_ Analysis and Solution" written by KC Ho, I write the code for simulation, the method is the least square, in fact, the second step is completely out of use, I do not know whether it is my problem or not, if you have any idea, welcome to discuss)

homomorphic filter codes are available.

研究了基于信号强度模型的室内定位技术. 通过运用线性回归、补偿式线性回归和多元回归方法，利用 仿真数据建立了信号强度模型.(Indoor positioning technology based on signal strength model by using linear regression, the compensated linear regression and multiple regression method using simulation data signal strength model.)

0_Linear：线性回归练习 1_LogistRegression：逻辑回归练习 2_boston：波士顿房价预测 3_regularization：正则化 5_stock：股票价格预测 6_CTR：点击率预测 7_all_model：回归与分类模型 8_muticlass：多分类练习 9_regression_implement：不同回归算法tf实现(0_Linear. 1_LogistRegression. 2_boston. 3_regularization. 5_stock. 6_CTR. 7_all_model. 8_muticlass. 9_regression_implement.)