Results 31 to 40 of about 1,611 (136)
Blind Identification of FIR Channels in the Presence of Unknown Noise
Blind channel identification techniques based on second-order statistics (SOS) of the received data have been a topic of active research in recent years. Among the most popular is the subspace method (SS) proposed by Moulines et al. (1995).
Kon Max Wong, Xiaojuan He
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Motivated by a ternary generalization of the Pauli exclusion principle proposed by R. Kerner, we propose a notion of a Z3-skew-symmetric covariant SO(3)-tensor of the third order, consider it as a 3-dimensional matrix, and study the geometry of the 10 ...
Viktor Abramov, Olga Liivapuu
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Subspace Clustering of Subspaces: Unifying Canonical Correlation Analysis and Subspace Clustering
19 pages, Submitted to IEEE Transactions on Signal ...
Paris A. Karakasis +1 more
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Asymptotic and Probabilistic Perturbation Analysis of Controllable Subspaces
In this paper, we consider the sensitivity of the controllable subspaces of single-input linear control systems to small perturbations of the system matrices.
Vera Angelova +2 more
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Communication subspace dynamics of the canonical olfactory pathway
Abstract Understanding how different brain areas communicate is crucial for elucidating the mechanisms underlying cognition. A possible way for neural populations to interact is through a communication subspace, a specific region in the state-space enabling the transmission of behaviorally-relevant spiking patterns.
Joaquín González +3 more
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Equivalence of helicity and Euclidean self-duality for gauge fields
In the canonical formalism for the free electromagnetic field a solution to Maxwell's equations is customarily identified with its initial gauge potential (in Coulomb gauge) and initial electric field, which together determine a point in phase space. The
Leonard Gross
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Identification of canonical models for vectors of time series: a subspace approach
AbstractWe propose a new method to specify linear models for vectors of time series with some convenient properties. First, it provides a unified modeling approach for single and multiple time series, as the same decisions are required in both cases.
Alfredo Garcia-Hiernaux +2 more
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Compressed Subspace Learning Based on Canonical Angle Preserving Property
38 pages, 5 ...
Yuchen Jiao, Gen Li 0005, Yuantao Gu
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Scattering forms, worldsheet forms and amplitudes from subspaces
We present a general construction of two types of differential forms, based on any (n−3)-dimensional subspace in the kinematic space of n massless particles.
Song He +3 more
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Cross-Modal Subspace Clustering via Deep Canonical Correlation Analysis
For cross-modal subspace clustering, the key point is how to exploit the correlation information between cross-modal data. However, most hierarchical and structural correlation information among cross-modal data cannot be well exploited due to its high-dimensional non-linear property.
Quanxue Gao +3 more
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