CG1.m

3D DCT function in wavelet

classical Gram-Schmidt(unstable) (reduced QR factorization).A:m-by-n matrix. (m>=n)Q:m-by-n unitary matrix.R:n-by-n upper triangular.

介绍了一个跳频系统仿真实例，以及各个模块的功能介绍，并对于仿真结果做一详细的分析(Introduced a frequency-hopping system simulation examples, and introduce the functions of each module, and the simulation results to make a detailed analysis of)

刘凤君老师的书，现代逆变技术及应用，主要讲解了拓扑结构，调制机理，控制机理以及实例分析。(Liu Fengjun teacher' s book and modern inverter technology applications, mainly on the topology, modulation mechanism, control mechanism as well as instances of analysis.)

关于飞行器制导控制方面比较全面的仿真源代码，其中包括飞行器三自由度和六自由度仿真，单次仿真和蒙特卡洛仿真，EKF算法和UKF算法仿真等等。(On aircraft guidance control more comprehensive simulation source code, including aircraft and six degrees of freedom simulation of three degrees of freedom, a single simulation and Monte Carlo simulation, EKF and UKF algorithm simulation algorithms and so on.)

VC与matlab混合编程方面的书籍，介绍全面，适用，是一本不错的书（英文）(VC and matlab mixing programming books, introduced comprehensively, applicable, is a good book (English))

for load forecasting paper

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 )

给水管网优化课本中的例题。计算井水管网的汇水管的水头损失。并且有图。(calculate the head lost of pipe net .)

This is a Particle Swarm Optimisation technique.