将能够增强图像纹理信息的分数阶微分算子与变分偏微分方程相结合,运用于图像去噪,提出一种基于分数阶偏微分算子的去噪模型。该模型能够在抑制噪声的同时,更好地保持图像的纹理细节信息。由于分数阶微分算子的阶数必须通过大量的实验人为确定,因此选择通过计算局部方差来反应图像局部纹理复杂度,自适应地确定分数阶微分的阶数。实验表明:自适应分数阶偏微分算子不仅继承了TV模型的优点,并且在保持图像细节信息上的能力更强。
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springer出版,泛函微分方程,深入浅出,证明详细,推荐
2021-02-21 17:10:59 30.4MB 泛函微分方程
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In this paper, Weighted Differential Evolution Algorithm (WDE) has been proposed for solving real valued numerical optimization problems.
2021-02-14 09:04:08 463KB WDE
差分进化算法的代码
2021-02-14 09:03:30 66KB 算法
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人工智能与智能系统相关领域学习教材
2021-02-05 15:07:59 1.81MB 教材
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人工智能与智能系统相关领域学习教材
2021-02-05 15:07:37 2.35MB 教材
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Differential Geometry of Curves and Surfaces DoCarmo經典的微分幾何 (掃描版)
2020-02-04 03:12:47 4.52MB 微分幾何 geometry DoCarmo
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Manfredo Do Carmo - Differential geometry of curves and surfaces
2020-02-04 03:00:57 5.09MB Differential geometry curves
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There has been a long-felt need for a book that gives a self-contained and unified treatment of matrix differential calculus, specifically written for econometricians and statisticians. The present book is meant to satisfy this need. It can serve as a textbook for advanced undergraduates and postgraduates in econometrics and as a reference book for practicing econometricians. Mathematical statisticians and psychometricians may also find something to their liking in the book.
2019-12-21 22:22:22 1.68MB Matrix Differential Calculus Statistics
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差分隐私基础 Dwork
2019-12-21 22:15:01 1.29MB 差分隐私
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