jlfx

相关分析与卷积运算 。matlab 实现。 信号函数为x(t)=(1-|t|/T)[u(t+T)-u(t-T)],h(t)= e-a*t*tsin(2πft)(Correlation analysis with the convolution operation. matlab achieve. Signal function x (t) = (1- | t |/T) [u (t+ T)-u (tT)], h (t) = ea* t* tsin (2πft))

implement the Power Al- gorithm for the computation of themaximumeigenvalue of Aj . Write a function Power_Algorithm which takes as input A q (the initial approximation of the eigenvector) and scale (it was given as  in the lectures).

卫星云图查看源码，实现了每半小时获取卫星图，获取云图列表，可自动播放，有两种选择(View satellite images realized every half hour to obtain satellite images, access cloud list, you can automatically play, two options.)

说明：  Here is an AGC code for seismic data

以Matlab为应用背景，比较详细地介绍了根轨迹图的制作。(Examples on Root Locus Plot.)

thanx u gav me a nice option to upload and take models

electronic,electrical circut modeing using Matlab book

使用matlab绘制根轨迹图实例，已经测试可直接在matlab中打开并运行。(Using matlab draw root locus instance, has been tested directly in matlab open and run.)

BP神经网络：是一种按误差逆传播算法训练的多层前馈网络，是目前应用最广泛的神经网络模型之一。BP网络能学习和存贮大量的输入-输出模式映射关系，而无需事前揭示描述这种映射关系的数学方程。它的学习规则是使用最速下降法，通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层（input）、隐层(hide layer)和输出层(output layer)。(BP neural network: a Press the front back propagation algorithm to train multilayer feedforward network is one of the most widely used neural network model. BP network can learn and store large amounts of input- output mode mappings without prior reveal mathematical equations that describe this map. It' s learning rule is to use the steepest descent method, through a reverse spread to constantly adjust the network weights and thresholds, so that the minimum squared error of the network. BP neural network topology, including the input layer (input), hidden layer (hide layer) and output layer (output layer).)

自适应滤波的matlab代码，非常实用，可配合专门的书籍参考(Adaptive filtering matlab code, very practical, with special reference books)