Results 31 to 40 of about 1,040,227 (270)
An inequality for the matrix pressure function and applications [PDF]
We prove an a priori lower bound for the pressure, or $p$-norm joint spectral radius, of a measure on the set of $d \times d$ real matrices which parallels a result of J. Bochi for the joint spectral radius.
Morris, Ian D.
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Algorithm with Patterned Singular Value Approach for Highly Reliable Autonomous Star Identification
In the work reported in this paper, a lost-in-space star pattern identification algorithm for agile spacecraft was studied. Generally, the operation of a star tracker is known to exhibit serious degradation or even failure during fast attitude maneuvers.
Kiduck Kim, Hyochoong Bang
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Singular value decomposition in AHP
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gass, S. I., Rapcsák, T.
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The smallest singular value of certain Toeplitz-related parametric triangular matrices
Let L be the infinite lower triangular Toeplitz matrix with first column (µ, a1, a2, ..., ap, a1, ..., ap, ...)T and let D be the infinite diagonal matrix whose entries are 1, 2, 3, . . . Let A := L + D be the sum of these two matrices.
Solary Maryam Shams +2 more
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The rub-impact fault, which occurs in the aeroengine, can cause frequency modulation (FM) in its vibration signal. Oscillated instantaneous frequency (IF) is a phenomenon of such a modulation mode, which carries critical fault information from the ...
Peng Zhang +7 more
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Extreme Value distribution for singular measures
In this paper we perform an analytical and numerical study of Extreme Value distributions in discrete dynamical systems that have a singular measure. Using the block maxima approach described in Faranda et al.
Faranda, Davide +3 more
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An S-type upper bound for the largest singular value of nonnegative rectangular tensors
An S-type upper bound for the largest singular value of a nonnegative rectangular tensor is given by breaking N = {1, 2, … n} into disjoint subsets S and its complement. It is shown that the new upper bound is smaller than that provided by Yang and Yang (
Zhao Jianxing, Sang Caili
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Watermark Based on Singular Value Decomposition
Watermarking operation can be defined as a process of embedding special wanted and reversible information in important secure files to protect the ownership or information of the wanted cover file based on the proposed singular value decomposition (SVD)
Ali Abdulazeez Mohammed Baqer Qazzaz +1 more
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A Randomized Tensor Train Singular Value Decomposition
The hierarchical SVD provides a quasi-best low rank approximation of high dimensional data in the hierarchical Tucker framework. Similar to the SVD for matrices, it provides a fundamental but expensive tool for tensor computations. In the present work we
Huber, Benjamin +2 more
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On singular values distribution of a large auto-covariance matrix in the ultra-dimensional regime [PDF]
Let $(\varepsilon_{t})_{t>0}$ be a sequence of independent real random vectors of $p$-dimension and let $X_T=\sum_{t=s+1}^{s+T}\varepsilon_t\varepsilon^T_{t-s}/T$ be the lag-$s$ ($s$ is a fixed positive integer) auto-covariance matrix of $\varepsilon_t$.
Wang, Qinwen, Yao, Jianfeng
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