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SegmentationforCortina
一种基于图像内容的分割,该压缩包内含有与该分割方法相关的英文文献,可以好好研究,(effcient Graph-Based Image Segmentation)
- 2009-04-15 22:02:52下载
- 积分:1
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BioinformaticsToolbox
有生物信息学编程实例,Matlab,欢迎学分子的战友可以学习使用(Bioinformation)
- 2009-05-14 03:55:09下载
- 积分:1
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wk
说明: 用于合成孔径雷达成像的wk算法,成像质量要优于距离多普勒算法及线性调频变标算法。(wk algorithm of synthetic aperture radar imaging)
- 2011-07-05 15:15:45下载
- 积分:1
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111222333
这是本人搜集的一本关于协作分集的书籍,希望对大家有用(This is the one I collect books on cooperative diversity, and hope to be useful)
- 2012-10-25 21:20:58下载
- 积分:1
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Large-capacity-data-fitting
用matlab实现1000组复数数据的拟合,并计算拟合函数的归一化均方误差(NMSE).(1000 groups using matlab fitting complex data, and calculate the fit function normalized mean square error (NMSE).)
- 2020-12-18 21:29:11下载
- 积分:1
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Grabisch_FuzzyIntegral
matlab _ fuzzy_integral
- 2013-10-24 22:29:43下载
- 积分:1
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Chaotic-time-series-analysis
混沌时间序列Matlab源程序,包含时间序列的时间延迟计算,关联积分计算,相空间重构,时间序列分解,Heaviside函数的计算,延迟时间和时间窗口计算,混沌吸引子关联维计算,重构相空间进行K_L变换,混沌吸引子关联维计算,Hurst指数分析,关联维和Kolmogorov熵计算,FFT计算序列平均周期,最大lyapunov指数计算,利用互信息法求时间延迟,混沌和噪声识别的源程序。(Matlab chaotic time series source, time includes the time series of delay calculation, correlation integral calculation, phase space reconstruction, time series decomposition, calculated Heaviside function, the delay time and the time window calculated correlation dimension of chaotic attractors calculated reconstruction phase space K_L transform computing correlation dimension of chaotic attractors, Hurst exponent analysis, correlation dimension and Kolmogorov entropy calculation, FFT calculation sequence averaging period, maximum lyapunov index, mutual information method the time delay, chaos and noise source identification.)
- 2016-11-15 09:40:52下载
- 积分:1
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《MATLAB基础及经济管理建模》张晓黎 著
说明: 《MATLAB基础及经济管理建模》张晓黎 著(Matlab foundation and economic management modeling by Zhang Xiaoli)
- 2021-03-03 13:06:37下载
- 积分:1
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targettrack
利用KALMAN函数对运动物体进行跟踪,有较好的效果
(make use of KALMAN function to track moving objects, which have a good result)
- 2009-05-08 21:38:55下载
- 积分:1
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4
说明: 此算法为最小二乘辅助变量法。uy2为含噪声数据,n=2,噪声模型n=2。左为输出数据,右为输入数据。k=2,3,4,5等等(Least-squares algorithm for the auxiliary variables. uy2 for data containing noise, n = 2, the noise model n = 2. Output data for the left and right for the input data. k = 2,3,4,5, etc.)
- 2009-07-24 11:48:42下载
- 积分:1