psat-2.1.6-oct

program for autocorelation

This example descibles background subtraction algorithm. video was recorded at sanfrancisco

对实验数据的FFT分析，可以显示时域和频域的结果(FFT analysis of the experimental data, can display the results of the time domain and frequency domain)

基于光伏模块直流物理模型，在matlab 仿真环境下，开发了光伏阵列通用仿真模型。利用该 模型，可以模拟任意太阳辐射强度、环境温度、光伏模块参数、光伏阵列串并联方式组合下的光伏阵 列I-V 特性。此外，该模型还融合了光伏阵列的最大功率跟踪（MPPT）功能，可以用于光伏发电系统 和风光复合发电系统的动态仿真。(A Versatile simulation model for photovoltaic array is developed based on the DC physical model of photovoltaic module under Matlab environment. By the model，the I-V characteristics of photovoltaic array with different combinations can be simulated at any corresponding insolation level, ambient temperature and parameters of the photovoltaic module. In addition to that, the model includes the function of Maximum Power Point Tracking(MPPT) . It can be used in the dynamic simulation of photovoltaic systems and wind-solar hybrid systems.)

Elman神经网络：Elman网络是 J. L. Elman于1990年首先针对语音处理问题而提出来的, 它是一种典型的局部回归网络( global feed for ward l ocal recurrent)。Elman网络可以看作是一个具有局部记忆单元和局部反馈连接的前向神经网络。Elman网络具有与多层前向网络相似的多层结构。它的主要结构是前馈连接, 包括输入层、 隐含层、 输出层, 其连接权可以进行学习修正 反馈连接由一组“结构 ” 单元构成,用来记忆前一时刻的输出值, 其连接权值是固定的。在这种网络中, 除了普通的隐含层外, 还有一个特别的隐含层,称为关联层 (或联系单元层 ) 该层从隐含层接收反馈信号, 每一个隐含层节点都有一个与之对应的关联层节点连接。关联层的作用是通过联接记忆将上一个时刻的隐层状态连同当前时刻的网络输入一起作为隐层的输入, 相当于状态反馈。隐层的传递函数仍为某种非线性函数, 一般为 Sigmoid函数, 输出层为线性函数, 关联层也为线性函数。(Elman neural network: Elman JL Elman network is first proposed for speech processing problems in 1990. It is a typical local regression network (global feed for ward l ocal recurrent). Elman network can be seen as having a forward neural network of local memory unit and local feedback connections. Elman network has a multi-layer multilayer structure similar to the network. Its main structure is a feedforward connection, comprising an input layer, a hidden layer and output layer, which can be connected right learning correction feedback connected by a set of " structural" units, the output value of the memory for the previous time, which connection weights are fixed. In such a network, in addition to ordinary hidden layer, there is a special hidden layer, called an associative layer (or contact layer unit) this layer receives feedback signals the hidden layer, each hidden layer node has an associated layer node corresponding connection. The role of the associated layer is fo)

用线性滤波器来对一个带限通信信道建模仿真(Linear filter to a band-limited communication channel modeling and simulation)

这是一个关于DS-CDMA仿真的程序,希望大家共同提高。(This is a program about ds-cdma)

用M文件S函数编写的变步长的连续时间变量的仿真(This example S-function illustrates how to create a variable step block in Simulink.)

本文介绍了几个常见的混沌系统，利用matlab 编程研究控制与同步(matlab simulink of chaotic systems)

仿真BPSK（Binary Phase Shift Keying）载波调制信号在AWGN（加性高斯白噪声AWGN(Additive White Gaussian Noise)）信道下的误码率和误比特率性能，并与理论值相比较。(Simulation of BPSK (Binary Phase Shift Keying) modulation signal in AWGN (additive white Gaussian noise AWGN (Additive White Gaussian Noise)) under the channel bit error rate and bit error rate performance, and compared with the theoretical value.)