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TECmatlabcode
pso算法的代码,是一种基于叠代的优化工具。系统初始化为一组随机解,通过叠代搜寻最优值,(PSO algorithm code is based on an iterative optimization tools. Initialize the system for a group of random solutions, through iterative search for the optimal values,)
- 2006-07-11 13:59:29下载
- 积分:1
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ga
遗传算法,是很好的算法,可以解决恩多东西(genetic alrh)
- 2013-10-05 20:09:54下载
- 积分:1
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ofdm-(2)
ofdm chennel estimation
- 2013-11-21 13:15:22下载
- 积分:1
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LMS_RLS_sim
功能描述:测试LMS与RLS算法,比较两种算法的收敛特性
文件名:LMS_RLS_sim.m
测试用例:
x(n)+a1*x(n-1)+a2*x(n-2)=e(n),a1=-1.6,a2=0.81,e(n)为高斯白噪声
文件输出:系数a1的值
调用函数:function [A] = LMS_Algo(M,N,mu,xn)
被调用:无
作者:mingcheng
编写时间:2009-10-13
修改时间:2009-10-13
版本:V1.0 ( Function Description: Test LMS and RLS algorithm, the convergence characteristics were compared file name: LMS_RLS_sim.m test case: x (n)+ a1* x (n-1)+ a2* x (n-2) = e (n), a1 =- 1.6, a2 = 0.81, e (n) is Gaussian white noise file output: the value of coefficient a1 call the function: function [A] = LMS_Algo (M, N, mu, xn) is called: No of: mingcheng write time :2009-10-13 modified :2009-10-13 version: V1.0 )
- 2010-07-11 12:15:54下载
- 积分:1
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Untitled
图像压缩 对现有的二维图像利用二维小波进行图像压缩(Image compression)
- 2010-12-01 19:02:03下载
- 积分:1
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44
说明: 主要介绍了有限差分方法的MATLAB编程(Finite difference method of MATLAB Programming)
- 2010-05-20 15:20:32下载
- 积分:1
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GM(12)
灰色理论模型主要采用的是的matlab编程,直接带入数据变成得出结果。(matlab GM(1,N))
- 2010-05-21 14:46:03下载
- 积分:1
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atsc1
simulink 实现atsc的发送和接收。发送为mepg2包。能够计算发送速率和比较BER。(simulink achieve atsc sending and receiving. Send to mepg2 package. Transmission rate can be calculated and compare BER.)
- 2014-11-11 15:46:51下载
- 积分:1
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menjen
对信号进行频谱分析及滤波,完整的基于HMM的语音识别系统,雅克比迭代求解线性方程组课设。( The signal spectral analysis and filtering, Complete HMM-based speech recognition system, Jacobi iteration for solving linear equations class-based.)
- 2016-09-09 15:07:45下载
- 积分:1
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DeepLearnToolbox-master
说明: 该工具包提供了一个用于通过算法、预训练模型和应用程序来设计和实现深度神经网络的框架。您可以使用卷积神经网络(ConvNet、CNN)和长短期记忆 (LSTM) 网络对图像、时序和文本数据执行分类和回归。应用程序和绘图可帮助您可视化激活值、编辑网络架构和监控训练进度。(The toolbox provides a framework for designing and implementing deep neural networks through algorithms, pre training models and applications. You can use convolutional neural networks (convnet, CNN) and long and short term memory (LSTM) networks to perform classification and regression on image, temporal, and text data. Applications and graphics help you visualize activation values, edit network architecture, and monitor training progress.)
- 2021-03-21 14:58:10下载
- 积分:1