Results 241 to 250 of about 110,085 (292)

Parallel processing architectures for advanced signal processing

Microprocessors and Microsystems, 1992
Abstract This paper describes parallel processing architectures for advanced signal processing. Advanced architectures are those that make use of nonlinear functions such as reciprocal, square root, arctangent etc. To accomplish this, a nonlinear cell has been devised which performs any one of four such nonlinear functions in two clock cycles.
VK Jain, JM Wills, SA Wadekar
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Parallel processing architectures for image processing systems

SPIE Proceedings, 1995
Recent image processing systems are exploiting available high computing throughputs in parallel processing architectures. Algorithms are becoming more adaptive to specific clutter and scene content. Data dependencies are being used for more robust operation. This, in turn, increases the number of compute operations required per pixel or image frame.
Michael Vahey, Robert F. Cody
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Parallel Processing Architectures for Aerospace Applications

IFAC Proceedings Volumes, 1992
Abstract The advent of cheap light-weight low-cost processors will result in a revolution in the application of digital processing to on-board aircraft systems. It now possible to utilise parallel processing develop truly distributed avionics architecture with intelligence being assigned locally to actuators and sensors. In this paper the application
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Parallel processing computer architectures for process control

Proceedings of the Thirty-Fourth Southeastern Symposium on System Theory (Cat. No.02EX540), 2003
Modern, large-scale, high-speed process control automation is quite complex in nature. Continuous manufacturing processes currently in use require advanced computer technologies such as simultaneous parallel processing architecture for synchronous process operations that take place independent of each other.
G. Venkatesan, H. Abachi
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Parallel vision processing and dedicated parallel architectures

Proceedings International Parallel and Distributed Processing Symposium, 2004
This paper proposes an overview of different processing paradigms inherent to image and vision processing, and of hardware support for them. It identifies some still open questions in parallel image/vision processing. The paper is organized into four parts.
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Parallel architectures for image processing

COMPSAC 79. Proceedings. Computer Software and The IEEE Computer Society's Third International Applications Conference, 1979., 1981
Conventional computers do not readily lend themselves to picture processing. Digital image manipulation by conventional computer is accomplished only at a tremendous cost in time and conceptual distraction. Computer image processing is the activity of modifying a picture such that retrieval of relevant pictorially encoded information becomes trivial ...
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Architectures For Parallel Image Processing

SPIE Proceedings, 1985
Images taken by airborne and laboratory sensors have been used for many purposes including autonomous guidance, robot vision, medical diagnosis, automated inspection and automated measurements. Scene recognition operations are relatively costly in computing time due to the large amount of data needed to be analyzed.
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Lisa: A parallel processing architecture

1986
The purpose of this paper is two-fold. Firstly, it introduces and develops the ideas of the Linear Instruction Systolic Array (LISA), and shows that it can simulate MIMD, SIMD and Systolic Wavefront Processor Algorithms involving nobacktracking.
G. M. Megson, D. J. Evans
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A Parallel Architecture perspective on language processing

Brain Research, 2007
This article sketches the Parallel Architecture, an approach to the structure of grammar that contrasts with mainstream generative grammar (MGG) in that (a) it treats phonology, syntax, and semantics as independent generative components whose structures are linked by interface rules; (b) it uses a parallel constraint-based formalism that is ...
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Chip architectures for parallel processing

Electronics and Power, 1985
Chip architectures designed to implement parallel algorithms can achieve very high processing rates and, as such, are becoming important in signal processing. Such chips are particularly amenable to VLSI design and this is likely to encourage their development and extend their areas of ...
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