Results 251 to 260 of about 697,287 (294)

A general construction method for component orthogonal arrays

Quality and Reliability Engineering International, 2023
AbstractOrder‐of‐addition (OofA) experiments have gained renewed attention in recent years, especially in regard to their design. For these experiments, the response is determined by the order in which components are added. A particularly useful design introduced in OofA experiments is the component orthogonal array (COA).
Chunyan Wang, Caleb King, Dennis K. J. Lin   +2 more
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Dynamic Orthogonal Components for Multivariate Time Series

Journal of the American Statistical Association, 2011
We introduce dynamic orthogonal components (DOC) for multivariate time series and propose a procedure for estimating and testing the existence of DOCs for a given time series. We estimate the dynamic orthogonal components via a generalized decorrelation method that minimizes the linear and quadratic dependence across components and across time. We then
David S. Matteson, Ruey S. Tsay
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Simultaneous squeezing of two orthogonal spin components

Journal of Optics B: Quantum and Semiclassical Optics, 2005
Squeezing of spin is usually discussed for x and y components (Sx and Sy), considering the commutation relation [Sx,Sy] = i SZ for the triad (Sx, Sy, SZ) of three mutually perpendicular spin components. We generalize and discuss squeezing of the spin component Sθ = Sxcosθ+Sysinθ considering all possible such triads, which include Sθ.
Hari Prakash, Rakesh Kumar
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Image compression using orthogonalized independent components bases

2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718), 2003
In this paper we address the orthogonalization of independent component analysis (ICA) to obtain transform-based image coders. We consider several classes of training images, from which we extract the independent components, followed by orthogonalization, obtaining bases for image coding.
A.J. Ferreira, M.A.T. Figueiredo
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Orthogonalization by principal components applied to CPM

IEEE Transactions on Communications, 2003
The orthonormal basis for the space spanned by a given signal set can be chosen in many different ways. However, when the basis is truncated to fewer dimensions, the quality of the approximated signals differs, depending on the choice of the original basis.
P. Moqvist, T.M. Aulin
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Non Orthogonal Component Analysis: Application to Anomaly Detection

2006
Independent Component Analysis (ICA) has shown success in blind source separation. Its applications to remotely sensed images have been investigated recently. In this approach, a Linear Spectral Mixture (LSM) model is used to characterize spectral data.
Gaucel, Jean-Michel, Guillaume, Mireille, Bourennane, Salah   +2 more
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An Evolutionary Orthogonal Component Analysis Method for Incremental Dimensionality Reduction

IEEE Transactions on Neural Networks and Learning Systems, 2022
In order to quickly discover the low-dimensional representation of high-dimensional noisy data in online environments, we transform the linear dimensionality reduction problem into the problem of learning the bases of linear feature subspaces. Based on that, we propose a fast and robust dimensionality reduction framework for incremental subspace ...
Tianyue Zhang, Furao Shen, Tao Zhu, Jian Zhao   +3 more
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A four-component organogel based on orthogonal chemical interactions

Chem. Commun., 2014
A thermoresponsive organogel was obtained by orthogonal assembly of four compounds using dynamic covalent boronate ester and imine bonds, as well as dative boron–nitrogen bonds.
Luisier Nicolas, Schenk Kurt, Severin Kay   +2 more
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Adaptive distributed orthogonalization processing for principal components analysis

[Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, 1992
Adaptive extraction of principal components of a vector stochastic process is a topic currently receiving much attention. The authors propose a learning algorithm implemented on a neural-like network. This algorithm is shown to be superior to previous ones. The convergence of this algorithm can be proved, but only an outline of the proof is presented. >
H. Chen, R.-W. Liu
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Cross Correlation of Orthogonally Polarized Backscatter Components

IEEE Transactions on Aerospace and Electronic Systems, 1976
The backscattering of an elliptically polarized plane wave from two kinds of complex radar objects is considered from the standpoint of coherency theory, and the antenna polarizations that give rise to maximum correlated and uncorrelated orthogonally polarized components in the receiving channels are discussed.
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