Interference-of-two-beams

说明：  基于MATLAB/simulink的同步电动机启动过程仿真模型(Based on MATLAB/simulink synchronous motor starting process simulation model)

Pass the specification values to the object rather than accepting the default values for N, Fc1, and Fc2. Include the sampling frequency Fs as the final input argument. Design the filter and plot the results.

the low pass filter, including the test data

雷达信号理论，对雷达信号进行详细的分析，是一本好书(radar signal theory, the radar signal to conduct a detailed analysis of a good book)

平均信道容量的仿真，不同的天线数进行了对比(A simulation of average channel capacity, a different number of antennas are compared)

Rectangular window filter

北京历年降水量线性模型分析——matlab，跟新到2012年(Calendar Beijing precipitation linear model analysis- matlab, with the New 2012)

电力电子DAB(dual active bridge)拓扑的闭环仿真(Power electronics DAB (dual active bridge)closedloop simulation)

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)

function x = thomas(varargin) THOMAS Solves a tridiagonal linear system