svm3legprint

Which Model to Use For Cortical Spiking Neurons? use MATLAB R13 or later.

扩频信号产生，频谱显示............................(Spread spectrum signal generator, spectrum display)

concrete temperature at early ages

MATLAB几何变换，可以方便了解到所变换的几种形式(MATLAB geometric transformations, you can easily understand the transformation of several forms)

MATLAB频谱分析源代码，自己写的，配合原始数数据文件，超级详细 ，经测试可直接使用。 (MATLAB spectrum analysis of the source code, write your own, with the original number of data files, super detail, has been tested and can be used directly.)

六轴机器人用d-h建模，蒙特卡罗方法打点确定工作空间(Six-axis robots are modeled by D-H and the workspace is determined by Monte Carlo method.)

10V到5V的DCDCbuck电路，自己搭建(10V to 5V DCDCbuck circuit, build their own)

仿真poisson distribution(Simulation poisson distribution)

说明：  共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数。(The Conjugate Gradient method is a method between the steepest descent method and the Newton method. It only needs to use the first derivative information, but overcomes the shortcomings of the steepest descent method and avoids the need for the Newton method to store And the calculation of Hesse matrix and the inverse of the shortcomings, conjugate gradient method is not only to solve large-scale linear equations one of the most useful methods, but also solution for large-scale nonlinear optimization of one of the most effective algorithm. In a variety of optimization algorithms, conjugate gradient method is a very important one. The advantage is that the required storage capacity is small, with step convergence, high stability, and does not require any external parameters.)

给出了通信原理课程的相关实验程序源码，包括DSB、ASK，抽样及其滤波、信噪比分析及眼图。(Communication Theory courses give the experimental procedures related to the source, including DSB, ASK, sampling and filtering, signal to noise ratio analysis and eye diagram.)