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2016.09.08GWO

于 2020-11-21 发布文件大小:1522KB

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下载积分: 1 下载次数: 8

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代码说明：

本代码描述的是有关灰狼算法的研究，这个代码有详细的内容说明与简介，网络上的代码普遍有错误，本人将所有的代码全部实现并改正了错误。供大家学习参考(This code describes the research on the gray wolf algorithm. This code has detailed description and introduction. The code on the network is generally wrong. I have implemented all the code and corrected the error. For everyone to learn reference)

文件列表：

2016.09.08GWO, 0 , 2019-04-14
2016.09.08GWO\GWO_finalVersion.pdf, 1753133 , 2016-09-08
2016.09.08GWO\GWO_SVM_exmp.m, 6631 , 2019-04-21
2016.09.08GWO\GWO_SVR_exmp.m, 5780 , 2016-09-08
2016.09.08GWO\initialization.m, 1845 , 2016-09-08
2016.09.08GWO\mymae.m, 70 , 2016-09-08
2016.09.08GWO\mymape.m, 85 , 2016-09-08
2016.09.08GWO\mymse.m, 74 , 2016-09-08
2016.09.08GWO\wine.mat, 20168 , 2016-09-08
2016.09.08GWO\wndspd.mat, 447 , 2016-09-08

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findlyap
The alogrithm employed in this toolbox for determining Lyapunov exponents is according to the algorithms proposed in [1] A. Wolf, J. B. Swift, H. L. Swinney, and J. A. Vastano "Determining Lyapunov Exponents from a Time Series," Physica D, Vol. 16, pp. 285-317, 1985. [2] J. P. Eckmann and D. Ruelle, "Ergodic Theory of Chaos and Strange Attractors," Rev. Mod. Phys., Vol. 57, pp. 617-656, 1 The algorithm given in [1] is used for first-order systems while the QR-based algorithm proposed in [2] is applied for higher order systems. by Steve W. K. SIU, July 5, 1998. (The alogrithm employed in this toolbox for determining Lyapunov exponents is according to the algorithms proposed in [1] A. Wolf, J. B. Swift, H. L. Swinney, and J. A. Vastano, "Determining Lyapunov Exponents from a Time Series," Physica D, Vol. 16, pp. 285-317, 1985. [2] J. P. Eckmann and D. Ruelle, "Ergodic Theory of Chaos and Strange Attractors," Rev. Mod. Phys., Vol. 57, pp. 617-656, 1985. The algorithm given in [1] is used for first-order systems while the QR-based algorithm proposed in [2] is applied for higher order systems. by Steve W. K. SIU, July 5, 1998. )

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对脉冲多普勒雷达调频噪声进行仿真，你会发现非常又有有用。(FM noise to simulate the radar you will find that it is very useful.thank you to use it.thank you very much.you must be glad to find it.)

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积分：1
t1
说明：在N=128时采用次优化迭代算法的PTS法与普通PTS法的PAPR性能比较。仿真参数：QPSK调制，V=4，P=4，取。从程序的运行时间可知，采用次优化迭代算法，PTS法的复杂性可以大大降低。(In the N = 128 used sub-optimal iterative algorithm method and the general PTS PTS PAPR performance comparison method. Simulation parameters: QPSK modulation, V = 4, P = 4, to take. We can see from the program' s running time, using sub-optimal iterative algorithm, PTS method can greatly reduce the complexity.)

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用matlab语言设计一个8*8点的矩形二维FIR滤波器并求该系统的频率响应的程序(Use matlab language design point of an 8* 8 rectangular two-dimensional FIR filter and find the frequency response of the system program )

2011-11-11 19:57:05下载

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2015-03-18 10:33:49下载

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phasenoise
用于产生的相位噪声的源码，绘制ber曲线(add_phase_noise.m ,generate phasenoise)

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