Results 251 to 260 of about 238,580 (307)

Convolutional Beamspace for Array Signal Processing

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
A new type of beamspace for array processing is introduced called convolutional beamspace. It enjoys the advantages of traditional beamspace such as lower computational complexity, increased parallelism of subband processing, and improved resolution threshold for DOA estimation.
P. P. Vaidyanathan, Po-Chih Chen
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Bilinear signal synthesis in array processing

IEEE Transactions on Signal Processing, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Weifeng Mu, Moeness G. Amin, Yimin Zhang 0001   +2 more
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Unknown signal wavelength and array processing

Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing, 2002
DOA estimation using an array of sensors requires precise knowledge of the wavelength /spl lambda/ of the incident signal. This paper considers the case when /spl lambda/ is unknown or imprecisely known and shows that an inherent ambiguity prevents a linear array from resolving wavelength and DOA simultaneously.
Antony P.-C. Ng, Gim Pew Quek
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Sonar array signal processing for sparse linear arrays

ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359), 2003
Acoustic signals which propagate through the ocean have wavefronts which can differ significantly from the "planar wavefronts" assumed in array signal processing. In this paper we investigate the performance of the the minimum variance distortionless response (MVDR) beamformer and the previously introduced Fourier integral method (FIM), when applied to
I. S. D. Solomon, A. J. Knight, M. V. Greening   +2 more
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Signal processing by pulse‐driven molecular arrays

International Journal of Circuit Theory and Applications, 2003
AbstractIn this paper cellular array processors composed of weakly Coulomb coupled molecules are studied. Equivalent circuits for molecules performing optically induced electron and proton transfer are presented, and pulse‐driven computing architectures are proposed.
Árpád I. Csurgay, Wolfgang Porod, Balázs Rakos   +2 more
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Array signal processing

1983
Array signal processing (ASP) represents a class of antenna system where the output from an array is subjected to various forms of signal processing (e.g. phase and amplitude control, time delay or frequency translation) in order to produce outputs which can simultaneously provide angular information relating to several different directions.
D. E. Davies, K. G. Corless, D. S. Hicks, K. Milne   +3 more
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Array signal processing for QR

Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002., 2002
The amplitude estimation of a signal whose waveform is known (up to an unknown scaling factor) in the presence of interference and noise is of interest in several applications including using the emerging quadrupole resonance (QR) technology for explosive detection.
null Yi Jiang, Jian Li, P. Stoica
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On Performance of Array Signal Processing

IEEE Journal of Oceanic Engineering, 1987
A unified treatment for performance evaluation of various array signal processors is presented. Detection performance is expressed in terms of the parameter of the power-type receiver operating characteristic (ROC) for optimum, beamformer, and null-steerer detectors.
L. Nolte, null Sang Lee, null Sien-Chang Liu   +2 more
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Maximum a posteriori array signal processing

ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
A noncausal estimator is presented for the position versus time sequence of a source relative to an array of passive receivers. The position is estimated in terms of the bearing and range of the source which are modelled as second order Gauss-Markov discrete time sequences.
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The array matrix generalization for signal processing

ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
The diversity of notation permeating the publications on signal processing suggests the need for some consolidation and standardization. We advocate here the array theory and notation of Tait as a standardizing framework for a smooth transition from the vector-matrix era to the array domain and array processing era.
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