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crossxconv
crosscorrelation in matlab
- 2009-04-28 18:35:48下载
- 积分:1
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DSSS
说明: 设计一个有干扰的直接序列扩频通信系统, PN码由m序列产生器产生,经过高斯白噪声信道。在接收端接收到的信号包括“有用信号+高斯白噪声+干扰”,将接收信号进行解扩,判决,得到用户的信号检测结果,绘制不同的扩频增益(增益值为10,30,50)下,误比特率随信噪比Eb/N0的变化曲线。(Design of a direct sequence spread spectrum interference system, PN code generated by the m sequence generator, after white Gaussian noise channel. Receives the signal at the receiver, including " useful signal+ Gaussian white noise+ interference" , will receive the signal despreading, judgments, get the user' s signal test results, draw a different spreading gain (gain value of 10,30, 50), the BER curves with the signal to noise ratio Eb/N0.)
- 2010-05-03 14:18:32下载
- 积分:1
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suijixinhaoyangbenshu
本程序是关于随机信号特征值提取,有界面显示,特征值包括自相关函数,和功率谱密度(This program is about random signal characteristic value is extracted, and to have the interface shows, including the autocorrelation function characteristic value, and power spectral density
)
- 2011-12-12 15:29:12下载
- 积分:1
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Stiction
Stiction建模Simulink model.
用于化工控制过程的测试。(Stiction model
for performance assessment on process control)
- 2020-12-10 21:59:18下载
- 积分:1
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Advanced mathematics(3)
1.常微分方程
2.积分变换
3.多元函数微分(1. Ordinary differential equation
2. Integral transformation
3. Multivariate Function Differentiation)
- 2019-01-11 16:08:21下载
- 积分:1
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Image-Processing-chapter-12-compression
chapter12....image compression
- 2011-04-30 21:28:51下载
- 积分:1
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Lab4
Digital Signal Processing Charles Darwin University Lab4
- 2014-09-04 12:42:17下载
- 积分:1
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wind_shuangkui
基于matlab的双馈风力发电系统仿真模型,在不同风速条件下,系统的响应仿真(Matlab double-fed wind power generation system simulation model under different wind conditions, the response of the system simulation)
- 2014-12-22 15:17:37下载
- 积分:1
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Desktop
天气雷达数据处理,该函数可以读取nc格式的雷达数据(Weather radar data processing, this function can be read nc radar data format)
- 2014-12-29 20:05:50下载
- 积分:1
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RBF_per
先归一化输入输出参数,用KMens优化RBF神经网络中心值,然后计算隐节点数据中心间的距离(矩阵),得到各隐节点的扩展常数(宽度),接着用最小二乘法得到各隐节点的输出权值,对数据进行反归一化,并绘图得到神经网络输出与测试集图,同时进行性能评价(First, the input and output parameters are normalized, the central value of the RBF neural network is optimized by KMens, then the distance (matrix) between the data centers of the hidden nodes is calculated, and the extended constant (width) of the hidden nodes is obtained. Then the output weights of the hidden nodes are obtained by the least square method, and the data are back normalized, and the neural network is drawn. Output and test set diagrams, and performance evaluation)
- 2021-01-12 10:18:49下载
- 积分:1