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于 2015-01-08 发布文件大小:8KB

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this code generates notch signal

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一篇关于雷达的一些初级概念的很形象的解释，并带有计算方法(An article on some of the radar image of the primary concepts are explained, and with the calculation method)

2010-07-23 11:32:01下载

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说明： caiyang 演示采样定理，时域采样，频谱周期延拓(caiyang demonstration sampling theorem, time domain, frequency cycle Extension)

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说明： helps to classify and segment the given signal using Markov models

2010-10-21 18:55:08下载

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实现了正交匹配追踪算法的matlab编程(To achieve the orthogonal matching pursuit algorithm matlab programming)

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2007-07-15 14:34:28下载

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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. )

2010-11-15 21:21:19下载

积分：1
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2014-09-22 21:28:08下载

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2006-05-25 14:58:24下载

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2012-04-14 12:09:54下载

积分：1

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