MATLAB-program

考察温度x对产量y的影响，测得下列10组数据：求y关于x的线性回归方程，检验回归效果是否显著，并预测x=42℃时产量的估值及预测区间（置信度95 ） 示例包含在内(X on the output of the temperature study of the impact of y, measured the following 10 sets of data: for y on x of the linear regression equation to test whether the effect of a significant regression and prediction when x = 42 ℃, and the valuation of yield prediction interval (confidence level 95 ) sample included)

小波降噪程序，可以对学习小波降噪的同学提供一定的参考(Wavelet Noise Reduction program, you can provide a reference for students learning wavelet noise reduction)

Breiman的bagging算法，是bootstrap aggregating的缩写，是最早的Ensemble算法之一，它也是最直接容易实现，又有着另人惊讶的好效果的算法之一。(Breiman’s bagging, short for bootstrap aggregating, is one of the earliest ensemble based algorithms.)

说明：  用单纯形法解决线性规划的matlab程序(Simplex method to solve linear programming matlab program)

有限差分法的Matlab程序（椭圆型方程）,用有限差分法求解矩形域上的Poisson方程(Finite difference method in Matlab (elliptic equations), the finite difference method for solving the Poisson equation on a rectangular domain)

传统PID的整定方法Z-N法，有助于大家快速整定参数，一起讨论哦(The traditional PID tuning method ZN method to help you quickly tuning parameters, and discuss Oh)

机器人路径规划程序，matlab编程。具有参考性。(Robot path planning procedures, matlab programming.)

matlab GA toolbox，由英国谢菲尔大学推出(matlab GA toolbox, designed by University of Sheffield)

Chapter 6 DSP course

混沌时间序列Matlab源程序,包含时间序列的时间延迟计算，关联积分计算，相空间重构，时间序列分解，Heaviside函数的计算，延迟时间和时间窗口计算，混沌吸引子关联维计算，重构相空间进行K_L变换，混沌吸引子关联维计算，Hurst指数分析，关联维和Kolmogorov熵计算，FFT计算序列平均周期，最大lyapunov指数计算，利用互信息法求时间延迟，混沌和噪声识别的源程序。(Matlab chaotic time series source, time includes the time series of delay calculation, correlation integral calculation, phase space reconstruction, time series decomposition, calculated Heaviside function, the delay time and the time window calculated correlation dimension of chaotic attractors calculated reconstruction phase space K_L transform computing correlation dimension of chaotic attractors, Hurst exponent analysis, correlation dimension and Kolmogorov entropy calculation, FFT calculation sequence averaging period, maximum lyapunov index, mutual information method the time delay, chaos and noise source identification.)