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Singularity spectrum information


The singularity spectrum is a function used in multifractal analysis to describe the fractal dimension of a subset of points of a function belonging to a group of points that have the same Hölder exponent. Intuitively, the singularity spectrum gives a value for how "fractal" a set of points are in a function.

More formally, the singularity spectrum of a function, , is defined as:

Where is the function describing the Hölder exponent, of at the point . is the Hausdorff dimension of a point set.

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Singularity spectrum

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The singularity spectrum is a function used in multifractal analysis to describe the fractal dimension of a subset of points of a function belonging to...

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Technological singularity

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The technological singularity—or simply the singularity—is a hypothetical future point in time at which technological growth becomes uncontrollable and...

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Multifractal system

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describe its dynamics; instead, a continuous spectrum of exponents (the so-called singularity spectrum) is needed. Multifractal systems are common in...

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Spectrum

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cycles from data include the Christiano–Fitzgerald, Hodrick–Prescott, singular spectrum, and Harvey-Trimbur filters. The first systematic exposition of economic...

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The Singularity Is Nearer: When We Merge with AI, was published in June 2024. In 2010, Kurzweil wrote and co-produced the movie The Singularity Is Near:...

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that the singularity benefits humans. Singularitarians are distinguished from other futurists who speculate on a technological singularity by their belief...

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associated with the technological singularity, including cognitive enhancement and AI. "Book Review: "Singularity Rising," by James D. Miller". Ieet...

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it is singular, by being more exact about the direction in which the singularity occurs. This concept is mostly useful in dimension at least two, since...

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concentrated cosmos preceded by a singularity in which space and time lose meaning (typically named "the Big Bang singularity"). In 1964 the CMB was discovered...

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notion of singular values and left/right-singular vectors can be extended to compact operator on Hilbert space as they have a discrete spectrum. If T {\displaystyle...

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infer the number and times of changes, via spectral analysis, or singular spectrum analysis. Statistically speaking, change detection is often considered...

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; Jensen, R. V. (1989). "Direct determination of the f( alpha ) singularity spectrum". Physical Review Letters. 62 (12): 1327–1330. Bibcode:1989PhRvL...

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SSA

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service Stochastic Simulation Algorithm Serial Storage Architecture Singular Spectrum Analysis Software Security Assurance Solid State Array, in flash data...

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showed that the singularity disappeared after a change of coordinates. In 1933, Georges Lemaître realized that this meant the singularity at the Schwarzschild...

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Nonlinear dimensionality reduction Orthogonal matrix Signal separation Singular spectrum analysis Transform coding Varimax rotation Stephenson, David B.; Benestad...

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spectra include singular homology with coefficients in a ring, complex cobordism, K-theory, and Morava K-theory. Highly structured ring spectrum Adams, J. Frank...

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Spectral density estimation

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variance of the spectral density estimate Singular spectrum analysis is a nonparametric method that uses a singular value decomposition of the covariance...

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Spectrum of a matrix

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analysis of chaotic geophysical time series, and most prominently the singular-spectrum analysis technique (SSA). In the 2000s, he extended his studies of...

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MSSA

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University, equivalent to a master of social work Multi-channel/-variate Singular spectrum analysis, an extension of the SSA technique This disambiguation page...

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