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network_formation
network formation in wireless sensor network
- 2011-06-01 20:17:39下载
- 积分：1
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facts
Hi i have attached facts controller
- 2010-11-12 01:27:43下载
- 积分：1
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EKFUKFMatlabtoolbox
现代信号处理中的扩展卡尔曼滤波和无迹卡尔曼滤波的介绍，以及matlab的实现方法。(EKF UKF)
- 2010-11-24 20:33:33下载
- 积分：1
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Basics_of_MATLAB_and_Beyond_Andrew_Knight
book on Basics of Matlab
- 2009-07-03 21:23:42下载
- 积分：1
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matlab2012b_std
matlab2012b的安装方法，单机安装及局域网服务器安装-matlab2012b，license( installation method, installation of stand-alone installation and LAN Server)
- 2013-12-03 19:31:35下载
- 积分：1
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FINAL_RUN_WAVELET
Source code for image fusion using wavelet tansform
- 2015-04-06 03:59:28下载
- 积分：1
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simplex_step
单步单纯型法，输入为系数矩阵，右端向量，目标函数系数向量，基变量下标，非基变量下标和基变量初始值(Step simplex method, the input for the coefficient matrix, right vector, the objective function coefficient vector, the base variable subscript, superscript and the non-basic variable initial value of base variable)
- 2010-12-22 12:37:49下载
- 积分：1
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matlab
将带噪声的音频文件中的噪声滤除掉，得到原始音频信号(The noisy audio file noise filtered out to obtain the original audio signal)
- 2015-03-06 15:22:06下载
- 积分：1
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xiangweijiaozheng
该程序实现基于相位校正法的FFT变换算法的matlab仿真，以256点为例进行计算，已得到实验验证，注解详细，为算法的硬件实现提供充分的理论基础(The program phase correction method based on the FFT algorithm matlab simulation, for example 256 points are calculated, the experiment has been verified, detailed annotations provide adequate theoretical basis for the algorithm in hardware)
- 2014-04-11 21:36:00下载
- 积分：1
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performanceimprovementwithpredictivechannelselecti
基于信道的历史信息来预测不同信道的未来可用时间可以帮助CR选择一个最佳信道进行信息传递。不同的预测准则应用到周期或是随机的开关模式中。一个CR可以学习以往不同信道的模式。我们提出一个简单的分类和学习方法去检测模式的类型和收集需要的信息用于智能信道的选择。MATLAB仿真结果显示提出的方案在随机信道的随机和周期模式中都有优越的表现。随着时间的变化，新到的切换次数减少到55 ，并且延迟时间也相应减少，而吞吐量却在提高。(Prediction of future availability times of different
channels based on history information helps a cognitive radio
(CR) to select the best channels for control and data
transmission. Different prediction rules apply to periodic and
stochastic ON-OFF patterns. A CR can learn the patterns in
different channels over time. We propose a simple classification
and learning method to detect the pattern type and to gather the
needed information for intelligent channel selection. Matlab
simulations show that the proposed method outperforms
opportunistic random channel selection both with stochastic and
periodic channel patterns. The amount of channel switches
needed over time reduces up to 55 , which reduces also the
delay and increases the throughput.)
- 2010-06-29 19:26:28下载
- 积分：1
