pulse-compression

非线性曲线拟合是已知输入向量xdata和输出向量ydata，并且知道输入与输出的函数关系为ydata=F(x, xdata)，但不知道系数向量x。今进行曲线拟合，求x使得输出的如下最小二乘表达式成立： min Σ(F(x,xdatai)-ydatai)^2(Nonlinear curve fitting is a known input and output vectors xdata vector ydata, and know the relationship between the input and output functions for ydata = F (x, xdata), but do not know the coefficient vector x. As least-squares curve fitting expression today, find x such that the output of the establishment: min Σ (F (x, xdatai)-ydatai) ^ 2)

used to calculate energy efficiency in wireless sensor nodes

气象图matlab程序运行，非常实用，简单 。有需要的可以 拿过 去 ！(very easy)

simulink_labs，，运动建模和仿真用的，matlab的工具箱之一，，，要需要的拿去，，(simulink_labs,, modeling and simulation exercise used, matlab toolbox of one, to take the necessary,,)

This is bisection method in Matlab.

说明：  这是一个关于控制仿真的程序，但是作用不是很大 仅供参考(This is a program about control simulation, but it is not very useful for reference only.)

MATLAB数值分析与应算习题代码8 9节，用于学习交流，不可用商业用途。(MATLAB Numerical Analysis and Problem code 89 should be considered section for learning exchanges, can not be used for commercial purposes.)

Okumura analyzed path-loss characteristics based on a large amount of experimental data collected around Tokyo, Japan. He selected propagation path conditions and obtained the average path-loss curves under flat urban areas. Then he applied several correction factors for other propagation conditions, such as: Antenna height and carrier frequency Suburban, quasi-open space, open space, or hilly terrain areas Diffraction loss due to mountains Sea or lake areas Road slope Hata derived empirical formulas for the median path loss (L50) to fit Okumura curves.

matlab codes for online SVM

its servoing motor control in matlab