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Topology-of-WSN
节点定位，仿真节点邻近关系图。通信模型。(Node location, the simulation node neighboring relation diagram. The communication model.
)
- 2012-04-24 12:36:41下载
- 积分：1
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Buck-DC-DC-Converter
Buck DC DC Converter
- 2014-11-14 01:40:44下载
- 积分：1
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coil
simulink model for a energized coil
- 2011-11-14 20:16:29下载
- 积分：1
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ESPRITducation
研究阵列信号的经典算法ＭＵＳＩＣ，这个程序是基于矩阵束的，已经测试过了，不错(Classic algorithm of array signal MUSIC, this procedure is based on the matrix pencil, and has been tested, and good)
- 2010-06-24 23:02:40下载
- 积分：1
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Reactive_Power_Control
连接风电场的双馈异步电机电压控制及其仿真(Connected wind farms double-fed asynchronous motor voltage control its simulation)
- 2013-01-09 18:55:31下载
- 积分：1
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speech_synthetic_coder2.m
将原语音文件进行分析解码，用全极点模型，通过线性系统预测进行声音的合成和编码。(Original voice file for analysis by linear system predictive decoding, with the all-pole model, the sound synthesis and coding.)
- 2013-02-11 08:40:38下载
- 积分：1
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APSK-modulation-in-AWGN-channel
通过matlab仿真工具仿真分析了APSK调制方式在典型的加性高斯白噪声下的传输性能(Through simulation matlab simulation tool analyzes APSK modulation in a typical additive white Gaussian noise transmission performance)
- 2013-11-20 16:12:45下载
- 积分：1
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delphi-APPLICATIONEVENTs
ApplicationEvents使用说明及源码实例，编程学习源码，很好的参考资料。(ApplicationEvents instructions and source code examples, programmed learning source, a good reference.)
- 2014-02-20 14:28:29下载
- 积分：1
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47793943spsBattery
铅酸蓄电池的MATLAB仿真模型,能够实现充放电过程(MATLAB simulation model of lead-acid battery, charging and discharging process can be realized)
- 2015-10-18 10:47:13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
