Shifting-base-year

根据雷达测量目标的数据，绘出目标运行轨迹，从而使数据更形象(According to the data of radar measurement target, the target is plotted trajectory, making data more image)

基于鲁棒观测器方法的三容水箱系统的故障诊断系统研究 .仿真程序。Matlab 代码 (fault tolerance design)

说明：  利用PSO算法对PID参数进行整定并画图，matlab程序，测试过可以使用(Using PSO to adjust and draw the parameters of PID)

说明：  MATLAB 代码 第1章 BP神经网络的数据分类——语音特征信号分类 第2章 BP神经网络的非线性系统建模——非线性函数拟合 第3章 遗传算法优化BP神经网络——非线性函数拟合 第4章 神经网络遗传算法函数极值寻优——非线性函数极值寻优 第5章 基于BP_Adaboost的强分类器设计——公司财务预警建模 第6章 PID神经元网络解耦控制算法——多变量系统控制 第7章 RBF网络的回归--非线性函数回归的实现 ....等58章(MATLAB code The first chapter is BP neural network data classification -- speech characteristic signal classification The second chapter is the nonlinear system modeling of BP neural network nonlinear function fitting The third chapter, genetic algorithm optimization BP neural network - nonlinear function fitting The fourth chapter, neural network, genetic algorithm, function extreme value optimization nonlinear function extremum seeking The fifth chapter is based on BP_Adaboost's strong classifier design -- the company financial early-warning model The sixth chapter is PID neural network decoupling control algorithm multivariable system control The seventh chapter is the regression of RBF network the realization of nonlinear function regression .........the last is 58 chapters)

EMD方法虽然已经使用的比较的多，但是仍然存在着很多的问题，只要是理论方面的。(Although the EMD method has been used by more than comparable, but there are still many problems, as long as theories.)

matlab时频分析配套源码第11章的程序，请大家共享(Matlab time-frequency analysis supporting source Chapter 11 procedures, please share)

预测控制的算法程序实现，使用Matlab(predictive control program, it is programed by matlab)

通过Matlab仿真分析OFDM系统中2D-Robust信道估计算法的性能。(Matlab simulation analysis by 2D-Robust OFDM system channel estimation algorithm.)

三步相移法测量圆柱横截面形貌,主要利用三步相移法求相位的模拟实验(Three-step phase shift method to measure the morphology of cylindrical cross-section, the main use of the three-step phase shift method for phase simulation)

对花卉的数据集分别通过“五折法”、随机产生训练样本、欧式平方距离、绝对值距离、契比雪夫距离和马氏距离进行数据集的识别。(Data sets, respectively, for flowers through the " half of Law" , randomly generated training samples, European squared distance, absolute distance, Chebyshev distance and Mahalanobis distance for data set identification.)