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DMC
说明： 基于当前值、预测值及不同控制率的DMC仿真源程序和仿真图形(Based on the current value, predictive value, and different control rates of DMC simulation source code and simulation graphics)
- 2010-04-09 18:05:27下载
- 积分：1
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LargestLyapunov
这个是用小数据量法计算时间序列最大lyapunov指数的matlab程序(This is a small amount of data calculated time series index of the largest lyapunov Matlab procedures)
- 2021-02-27 00:19:37下载
- 积分：1
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statbx42
统计分析的软件包，已经是目前最新版本的了。包括说明，都在压缩包里了。(statistical analysis package, is the latest version of the. Including a description, in a compressed bundle.)
- 2007-04-03 04:13:11下载
- 积分：1
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breakpoint
用MATLAB小波工具箱实现的信号奇异点的检测(MATLAB toolbox realize the singular point of the signal detection)
- 2007-04-18 13:13:51下载
- 积分：1
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999
根据有无固定基础设施，无线局域网又可分为BSS (Basic Service Set)和IBSS (Independent Basic Service Set)。我们要研究的ad hoc网络属于后者。假设在一个ad hoc网络中，移动节点的发射功率PTx总是恒定的。要发送数据的移动节点总是先监听信道，测量接收到的信号功率X，其中X= I + N, I为接收到的干扰，N是噪声。移动节点只有在X＜INThre时，才可以发射。式中，INThre为背景噪声门限。
在仿真中，我们规定每个移动节点的发射功率是常数，PTx = 1W；接收节点接收机的灵敏度Smin = -80 dBm；信号质量 min = 2 dB；系统的背景噪声门限INThre = 1.2e-10。
(According to the availability of fixed infrastructure, wireless local area network can be divided into BSS (Basic Service Set) and IBSS (Independent Basic Service Set). We have to study the ad hoc network belong to the latter. Assuming in an ad hoc network, mobile node s transmission power is always constant PTX. To send data to the mobile node always monitor channel, measuring the received signal power X, which X = I+ N, I was received interference, N is the noise. Mobile node only when X <INThre when it is fired. Where, INThre threshold for background noise. In the simulation, we require that each mobile node s transmission power is constant, PTx = 1W receiver node receiver sensitivity Smin =-80 dBm signal quality )
- 2008-01-16 00:23:39下载
- 积分：1
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cvx_usrguide
CVX使用向导，专门用于求解凸优化问题，快速，使用方便。(CVX using the wizard, designed to solve convex optimization problems, fast, easy to use.)
- 2010-05-12 15:00:46下载
- 积分：1
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projectN
maze solved with q learning
- 2012-07-09 04:46:54下载
- 积分：1
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HSJZ
function [ H ,S ] = HS( f )
UNTITLED2 Summary of this function goes here
Detailed explanation goes here
syms x1 x2
f1=diff(f,x1)
f2=diff(f,x2)
S= [f1 f2]
H = [diff(f1,x1) diff(f1,x2) diff(f2,x1) diff(f2,x2)]
end
s0=subs(S,findsym(S),[0 0])(function [H, S] = HS (f) UNTITLED2 Summary of this function goes here Detailed explanation goes here syms x1 x2 f1 = diff (f, x1) f2 = diff (f, x2) S = [f1 f2] H = [diff (f1, x1) diff (f1, x2) diff (f2, x1) diff (f2, x2)] end s0 = subs (S, findsym (S), [0 0 ]))
- 2013-04-11 23:40:13下载
- 积分：1
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Two-dimensional-finite
二 维 时 域 有 限 差 分 法MATLAB 代 码(Two-dimensional finite difference time domain method MATLAB cod)
- 2013-08-06 11:18:29下载
- 积分：1
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bookmarksdemo20131221
grails bookmark例子程序在2.0上的实现(grails bookmark sample in grails 2.0)
- 2013-12-21 09:52:46下载
- 积分：1
