Results 51 to 60 of about 425,843 (182)
PHASELESS SUBSPACE TRACKING [PDF]
2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2018 This work takes the first steps towards solving the "phaseless subspace tracking" (PST) problem. PST involves recovering a time sequence of signals (or images) from phaseless linear projections of each signal under the following structural assumption: the signal sequence is generated from a much lower dimensional subspace (than the signal dimension ...
Nayer, Seyedehsara, Vaswani, Namrata
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Sensors, 2019 In the estimation of the direction of arrival (DOA) for interference signals, the direction-finding error of the multiple signal classification (MUSIC) algorithm will increase in the case of multiple interferences or when the interfering signal power is ...
Hao Wang, Qing Chang, Yong Xu, Xianxu Li
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A Distributed Sensor-Based Recursive Framework for DoA Estimation and Geolocation
IEEE AccessThis paper proposes a distributed sensor-based RECursive Subspace and Factor Graph (REC-SaFG) framework for direction-of-arrival (DoA) estimation and geolocation of a fast-moving target.
Lei Jiang +3 more
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An Efficient Algorithm for Direction Finding against Unknown Mutual Coupling
Sensors, 2014 In this paper, an algorithm of direction finding is proposed in the presence of unknown mutual coupling. The preliminary direction of arrival (DOA) is estimated using the whole array for high resolution.
Weijiang Wang +3 more
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Substation Equipment 3D Identification Based on KNN Classification of Subspace Feature Vector
Journal of Intelligent Systems, 2017 Aiming to realize rapid and efficient three-dimensional (3D) identification of substation equipment, this article proposes a new method in which the 3D identification of substation equipment is based on K-nearest neighbor (KNN) classification of subspace
Guo Weiying, Ji Yong, Luo Yong, Zhou Yan
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Proceedings of the AAAI Conference on Artificial Intelligence, 2020 Convolutional neural networks (CNNs) have become a key asset to most of fields in AI. Despite their successful performance, CNNs suffer from a major drawback. They fail to capture the hierarchy of spatial relation among different parts of an entity. As a remedy to this problem, the idea of capsules was proposed by Hinton.
Edraki, Marzieh +2 more
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Acoustic signal localization through the use of Head Related Transfer Functions [PDF]
Journal of Systemics, Cybernetics and Informatics, 2004 An acoustic image of space is an acoustically described visual image intended to help blind people orient themselves in space. Description is made with the aid of spatial sounds created using HRTF filters. HRTF filters are empirically acquired FIR filter
Jaka Sodnik, Rudolf Susnik, Saso Tomazic
doaj
A further improvement of the quantitative Subspace Theorem [PDF]
, 2010 In 2002, Evertse and Schlickewei obtained a quantitative version of the so-called Absolute Parametric Subspace Theorem. This result deals with a parametrized class of twisted heights.
G. Ferretti +2 more
core
Higgledy-piggledy subspaces and uniform subspace designs [PDF]
, 2014 In this article, we investigate collections of `well-spread-out' projective (and linear) subspaces. Projective $k$-subspaces in $\mathsf{PG}(d,\mathbb{F})$ are in `higgledy-piggledy arrangement' if they meet each projective subspace of co-dimension $k ...
Fancsali, Szabolcs L., Sziklai, Péter
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Michigan Mathematical Journal, 1996 Let \(T\) and \(D\) be the translation and unitary dilation operators on \(L^2(\mathbb{R})\) given by \((Tf)(t)= f(t- 1)\) and \((Df)(t)=\sqrt 2f(2t)\). An orthogonal wavelet for a subspace \(X\) of \(L^2(\mathbb{R})\) is a unit vector \(\psi\in X\) such that \(\{D^nT^m\psi: n,m\in\mathbb{Z}\}\) is an orthonormal basis of \(X\).
Dai, Xingde, Lu, Shijie
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