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于 2015-04-20 发布文件大小:8KB

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代码说明：

说明：无线传感器分簇路由算法代码,可以运行的，效果还不错。(the codes of routing agorithm for wsn ,it can run,the results is good)

文件列表：

01
..\distfcm - 副本.asv,943,2000-08-11
..\distfcm.asv,943,2000-08-11
..\distfcm.m,943,2000-08-11
..\fcm.m,3968,2002-04-15
..\fcm_eg.m,535,2015-04-11
..\initfcm.m,715,2002-04-15
..\irisfcm.m,2581,2002-04-15
..\li1_5.m,244,2011-05-10
..\li1_6.m,871,2011-05-10
..\li1_7.m,293,2011-05-10
..\li1_8.m,188,2011-05-10
..\li1_9.m,173,2011-05-10
..\stepfcm.m,1368,2002-04-15

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2009-04-30 20:50:08下载

积分：1
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2008-06-12 17:58:39下载

积分：1
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2008-08-15 13:37:46下载

积分：1
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2007-04-05 19:40:52下载

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瑞利衰落和莱斯衰落信道的仿真程序，能够统计出误码率与信噪比的仿真图(a simulation program for raileigh and rice channel)

2020-10-23 17:17:22下载

积分：1
Fractional_Delay_FIR
功能描述：小数延迟FIR滤波器，对参考阵元信号signal_ref进行 length(tau) M次延迟，分别得到M个阵元的采样信号关键问题：若τ 1.2Ts,则Delay(i) 2,tau_valid(i) 0.2Ts 若τ 0.6Ts,则Delay(i) 1，tau_valid(i) -0.4Ts 当tau_valid(i)>0或<0时，从卷积后的数据y_FIR_delay中取值启示位置不同函数能够实现输入任意延时tau，输出信号波形与理想波形之间误差很小。( Description: fractional delay FIR filter array element of a reference signal signal_ref performed length (tau) M delay times, respectively, to obtain a sample signal array element M key question: if τ 1.2Ts, then Delay (i ) 2, tau_valid (i) 0.2Ts if τ 0.6Ts, then Delay (i) 1, tau_valid (i) - 0.4Ts when tau_valid (i)> 0 or < 0, the volume data y_FIR_delay product after the Enlightenment values at different positions function can be realized enter any delay error between tau, the output signal waveform and the ideal waveform is small.)

2016-08-12 10:32:27下载

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针对风电场短期风速的预测提出一种基于小波变换的组合预测方法。首先利用Mallat 算法对短期风速时间序列进行db3 小波三层分解与重构，得到短期风速时间序列的近似分量和细节分量。针对近似分量和细节分量的不同特性，对近似分量利用粒子群算法优化的最小二乘支持向量机进行预测，对细节分量利用自回归求和滑动平均模型进行预测。最后各预测模型预测值组合叠加得到最终的短期风速预测值。仿真结果表明该方法具有较高的预测准确度。(In order to improve short-term wind speed prediction accuracy of wind farms，a combined prediction method based on the wavelet transform is proposed. Firstly，the db3 wavelet is used for three-layer decomposition and reconstruction for short-term wind speed time series through Mallat algorithm. The approximation components and the detail components of the short-term wind speed are then obtained. Next，according to the different characteristics of these components，the least square support vector machine optimized by particle swarm algorithm and the autoregressive integrated moving average model are adopted as the predictivemodels for the approximate components and the detail components respectively. Then，the final predictive value of the short-term wind speed is obtained by the combination of the two components. The simulation results indicate that higher accuracy can be obtained in this prediction method.)

2016-12-23 10:12:27下载

积分：1
1234
说明：这个是由清华大学书出版的现代信号处理教程的书籍的配套源程序 (The book, published by Tsinghua University, Modern Signal Processing Guide books matching source)

2010-04-30 14:22:46下载

积分：1
chengmifa
乘幂法的MATLAB程序，基于数值分析中乘幂法的基本原理，相关的在注释中有详细说明。(power method)

2015-01-09 16:15:25下载

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2012-06-03 21:35:20下载

积分：1

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