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于 2010-04-16 发布 文件大小:1KB
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说明:  非线性系统中混沌liu氏函数的matlab实现(Chaos liu' s function)

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    hamilton matlab bian cheng
    2013-03-27 17:57:50下载
    积分:1
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    MATLAB 是美国MathWorks公司出品的商业数学软件,用于算法开发、数据可视化、数据分析以及数值计算的高级技术计算语言和交互式环境,主要包括MATLAB和Simulink两大部分。 (matlab)
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    OTSU Gray-level image segmentation using Otsu s method. Iseg = OTSU(I,n) computes a segmented image (Iseg) containing n classes by means of Otsu s n-thresholding method (Otsu N, A Threshold Selection Method from Gray-Level Histograms, IEEE Trans. Syst. Man Cybern. 9:62-66 1979). Thresholds are computed to maximize a separability criterion of the resultant classes in gray levels. OTSU(I) is equivalent to OTSU(I,2). By default, n=2 and the corresponding Iseg is therefore a binary image. The pixel values for Iseg are [0 1] if n=2, [0 0.5 1] if n=3, [0 0.333 0.666 1] if n=4, ... [Iseg,sep] = OTSU(I,n) returns the value (sep) of the separability criterion within the range [0 1]. Zero is obtained only with images having less than n gray level, whereas one (optimal value) is obtained only with n-valued images.
    2009-03-17 17:57:51下载
    积分:1
  • matlab
    使用matlab计算协方差矩阵的算法,包含计算实例的程序(Covariance matrix using matlab calculation algorithms, including the procedures for calculation example)
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    积分:1
  • lxxx
    介绍了流形学习的几种经典的算法和一些如闻的知识(Describes several classical manifold learning algorithms, and some, such as knowledge of news)
    2011-06-13 18:28:54下载
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    transfer function model
    2013-12-11 01:30:57下载
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  • op_SVM
    svm优化算法,利用改进的随机森林对SVM参数进行优化,提高运算精度和速度。(SVM optimization algorithm, the parameters of SVM are optimized by using random forest improvement, improve the calculation precision and speed.)
    2015-01-12 17:46:44下载
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  • duffing
    说明:  duffing振子数值建模,学习仿真,非线性动力学(study duffing Oscillator numerical modeling, learning simulation, nonlinear dynamics)
    2019-01-14 14:08:40下载
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    2012-07-17 19:30:01下载
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  • Recursive-State-Estimation
    为了得到具有一般相关量测噪声线性系统的递推滤波算法, 将该问题转化为具有相关量测 单值随机向量的滤波问题,根据单值随机向量的线性无偏最小方差估计算法,导出了量测噪声为一 般相关鞅差序列的线性系统的最优递推状态估计滤波算法.通过数值仿真,将该算法与假定量测噪 声不相关时的Kalman 滤波算法进行了比较,证明了该算法的有效性(In order to obtain the recursive f i ltering alg orithm for a linear system w ith general correlat ed measurement noises, the problem is t ransformed to that of filtering for a single random vector w ith correlated measurements. According to the linear unbiased minimum variance estimation algorithm for a single random vector, a recursive filtering algori thm is presented. A digital simulat ion technique is used such that the new algorithm can be compared w i th the Kalman f i ltering algorithm, assuming that the measurement noises are uncorrelated. Validi ty of the proposed algorithm is thus proved)
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