Project

太阳能电池MPPT研究用simulink仿真模型,使用2010b版本编辑的 之前的老版本应该打不开 包括PV模型，boost电路 mppt电路等整个完成电路，可以直接出波形的(Solar cell MPPT research using simulink simulation model, the use of 2010 b version before the old version of the editor should be can t open include PV model, the boost circuit MPPT circuit of the complete circuit, can be directly out of the waveform)

2频移键控模拟模型的基本原理、波形,请您仔细浏览,给予评价(2 FSK simulation principle and waveform, please carefully browsing, giving the appraisal)

DOCUMENT FOR BASIC LEARNING OF COMMUNICATION IN VARIOUS ASPECTS.

禁忌搜索算法解决0/1整数规划NP难问题(Tabu Search Algorithm for 0/1 integer programming problem NP hard)

Hidden Markov Models

用MATLAB进行随机数模拟-线性同余法(Random number simulation using MATLAB)

FEC decoding algorithm for Reed Solomon

详细的介绍了maple和matlab科学计算的问题也原理(Detailed description of the maple and matlab scientific computing problem principle)

<现代通信系统(第二版)>里面的所有Matlab程序！(Contemporary Communicaton Systems Using Matlab and Simulink(Second Edition))

支持向量机和BP神经网络虽然都可以用来做非线性回归，但它们所基于的理论基础不同，回归的机理也不相同。支持向量机基于结构风险最小化理论，普遍认为其泛化能力要比神经网络的强。为了验证这种观点，本文编写了支持向量机非线性回归的通用Matlab程序和基于神经网络工具箱的BP神经网络仿真模块，仿真结果证实，支持向量机做非线性回归不仅泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。 (Support Vector Machine and BP neural network, even though there can be used to make non-linear regression, but they are based on the theoretical basis for the different, the mechanism of regression is not the same. Support vector machine based on structural risk minimization theory, generally considered the generalization ability of neural networks than the strong. To test this view, the paper prepared by non-linear regression support vector machine procedures and based on a common Matlab neural network toolbox of BP neural network )