outrage_probabilty

信号与信息处理——阵列信号处理DOA估计的matlab算法，这是线性调频信号的稀疏分解算法，很有用(Signal and information processing- array signal processing matlab algorithm for DOA estimation, which is a linear FM signal sparse decomposition algorithm, useful)

运用matlab模拟各种随机变量，内容包括模拟的基本思路和matlab代码(Use matlab simulate various random variables, including the basic ideas and matlab simulation code)

MATLAB PROGRAMING FOE ARIMA

本文提出的中值滤波的快速算法的基本思想是：原始数据序列上中值滤波的滑窗在移动过程中，当前窗只要删除其最早的元素，加入窗后的新元素，即成为下一窗的内容。这个只是Matlab里封装的算法代码(In this paper, the median filtering of the fast algorithm for the basic idea is: the original data sequence in the sliding window filtering process in the mobile, the current window as long as the deletion of its first element, adding a new element after the window, that is, the next window content.)

应用MATLAB的GUI，实现对水位的控制仿真(To MATLAB application GUI achieve water level control simulation)

本程序为通信系统中的GMSK调制程序，对于研究通信调制解调的人来说十分有用！(This procedure for the communications system GMSK modulation process, the study of communication modem very useful for people!)

神经网络，主要用于数据预测以及相关的分析(Neural network, mainly used for data analysis of the forecast and the related)

使用非定常涡格法(UVLM)计算一种简单扑翼机的升力。对应文献Time Domain Modeling of Unsteady Aerodynamic Forces on a Flapping Airfoil -Eric Durand（MIT Master thesis）(Unsteady vortex lattice method (UVLM) a simple flapping wing machine lift. Corresponding literature Time Domain Modeling of Unsteady Aerodynamic Forces on a Flapping Airfoil-Eric Durand (MIT Master thesis))

小波神经网络的源程序: 1.构造的非线性函数: 位于nninit_test.m 2.直接用WNN逼近非线性:Wnn_test.m, (内部调用小波函数) 3.遗传算法优化后逼近 :GA_Wnn_test.m (内部调用遗传算法的,初始化,适应度,解码函数)-genetic algorithm optimization WNN source : 1. Construction of the nonlinear function : nninit_test.m at 2. WNN directly with nonlinear approximation : Wnn_test.m. (internal called wavelet function) 3. Genetic Algorithm optimization approach : GA_Wnn_test.m (internal called genetic algorithms, initialize, fitness and decoding functions) (Wavelet neural network source code: 1. Construction of the nonlinear function: at nninit_test.m 2. Wnn the direct use of nonlinear approximation: Wnn_test.m, (internal call wavelet function) 3. Genetic algorithm optimized approximation: GA_Wnn_test. m (internal call genetic algorithms, initialization, fitness, decoding function)-genetic algorithm optimization WNN source: 1. Construction of the nonlinear function: nninit_test.m at 2. WNN directly with nonlinear approximation: Wnn_test.m. ( internal called wavelet function) 3. Genetic Algorithm optimization approach: GA_Wnn_test.m (internal called genetic algorithms, initialize, fitness and decoding functions))

All matlab good ebook collection tutorials