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A New Model for Quantifying Anisotropic Scale Invariance and for Decomposition of Mixing Patterns

机译:各向异性尺度不变性定量化和混合模式分解的新模型

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摘要

A new power–law function has been derived to represent the relationship between area of the set consisting of wave numbers with spectral energy density above S (A(>S)) on the two-dimensional frequency plane and S. The power–law relation holds if the field concerned possessing isotropic scale invariance or generalized scaling invariance involves rotational and ratio-scale changing transforms. The equation is valid for dealing with common exploration geophysical and geochemical fields encountered in mineral exploration and environmental assessment. This power–law function not only provides a new model for characterizing anisotropic scaling invariance for generalized scaling field, for example, estimating the power exponent of power spectrum of generalized scale invariance measure in frequency domain, but also forms a theoretical base for the S–A filtering technique developed for decomposing a mixing field into components on the basis of distinct scaling properties in the frequency domain. It is demonstrated that the method has potential to become a general technique for image processing and pattern recognition.
机译:推导了一个新的幂律函数,以表示二维频率平面上由频谱能量密度高于S(A(> S))的波数组成的集合区域与S之间的关系。幂律关系如果具有各向同性尺度不变性或广义尺度不变性的相关领域涉及旋转和比例尺度变化变换,则成立。该公式对于处理矿物勘探和环境评估中遇到的常见勘探地球物理和地球化学领域是有效的。该幂律函数不仅为表征广义尺度域的各向异性尺度不变性提供了一个新模型,例如,估计频域中广义尺度不变性度量的功率谱的幂指数,而且还为S–开发了一种滤波技术,用于基于频域中不同的缩放特性将混合场分解为分量。证明了该方法具有成为图像处理和图案识别的通用技术的潜力。

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