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Implementing degradable processing arrays

IEEE Micro, 1998
Today's burgeoning multimedia and network technology require large high-performance processing arrays. Conventional chip packaging and board-level integration cannot meet operating speeds in these high-performance systems. In addition, large systems require technologies that provide reliable, single packaging.
Stephanie R. Goldberg   +1 more
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Compressive sampling in array processing

2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2013
In this paper, we propose a sampling architecture for the efficient acquisition of multiple signals lying in a subspace. We show that without the knowledge of the signal subspace, the proposed sampling architecture acquires the signals at a sub-Nyquist rate.
Ali Ahmed 0004, Justin K. Romberg
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An interleaved array-processing architecture

Proceedings of the July 9-12, 1984, national computer conference and exposition on - AFIPS '84, 1984
This paper describes an array-processing architecture capable of executing high-level vector operations. There are two distinguishing features of this architecture: First, the user can define for later use complex vector operations that involve several arithmetic operations and branching. Once defined, they appear as built-in vector instructions to the
J. Robert Jump   +2 more
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ARRAY RESEARCH ARRAY PROCESSING AT UBO

1967
Abstract : The purpose of this study was to determine the amount of predictable noise at Uinta Basin Seismological Observatory (UBO) by the development and application of noise prediction filters. A comparison of the surface and the 200-ft buried array was conducted to determine if a large amount of noise was present which attenuates rapidly with depth.
Paul R. Lintz, George C. Burrell
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Array processing for channel equalization

IEEE International Conference on Acoustics Speech and Signal Processing, 2002
An array of primitive programmable processors has been designed for high throughput reconfigurable signal processing. Each processor retains a primitive instruction set, minimal local storage, and exchanges data with adjacent processors using nearest neighbor communication.
Geoffrey Francis Burns   +3 more
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Parallel processing with an array of microcomputers

Microprocessors and Microsystems, 1981
Abstract This article describes a multicomputer system which can effectively use up to several hundred microcomputers to solve complex problems and outlines its operating schema, especially task interoperation and communication, as well as its areas of application.
Bruno Braunleder, Rudolf Kober
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Decentralized processing in sensor arrays

IEEE Transactions on Acoustics, Speech, and Signal Processing, 1985
We present a new scheme for decentralized processing in passive sensor arrays based on communicating the sample-covariance matrices of the subarrays. The new scheme offers improved accuracy over the conventional triangulation scheme with only a modest increase in the communication load.
Mati Wax, Thomas Kailath
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Adaptive processing array systems

Proceedings of the IEEE, 1992
Adaptive array systems have undergone enormous growth and progress in the past two decades. Because this multidiscipline technology area is both complex and mathematics intensive, it often appears alien (and perhaps impractical) to the nonspecialist. To help bridge those gaps, this tutorial paper has been and limited to just three principal topic areas:
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Temporal integration for array processing

[Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing, 1991
This paper deals with the study of the performance of array processings in the presence of moving sources. A simplified model of the spatial frequencies of a moving source is derived for the first time. It allows one to obtain analytical formulation of the variance of the estimated source bearings and of the probability of detection.
Jean-Pierre Le Cadre, Olivier Zugmeyer
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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   +2 more
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