Highly Parallel Signal Processing Architectures PDF Download

Author: Society of Photo-optical Instrumentation Engineers
Publisher:
ISBN:
Category : Computer architecture
Languages : en
Pages : 177

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Author: Keith Bromley
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 192

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Author:
Publisher:
ISBN: 9780892526482
Category : Holography
Languages : en
Pages : 134

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Author: Jack Bonnell Dennis
Publisher:
ISBN:
Category : Parallel processing (Electronic computers)
Languages : en
Pages : 13

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Author: Alan D. George
Publisher: CRC Press
ISBN: 1351083066
Category : Computers
Languages : en
Pages : 287

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Book Description
This book presents a distributed multiprocessor architecture that is faster, more versatile, and more reliable than traditional single-processor architectures. It also describes a simulation technique that provides a highly accurate means for building a prototype system in software. The system prototype is studied and analyzed using such DSP applications as digital filtering and fast Fourier transforms. The code is included as well, which allows others to build software prototypes for their own research systems. The design presented in Microprocessor-Based Parallel Architecture for Reliable Digital Signal Processing Systems introduces the concept of a dual-mode architecture that allows users a dynamic choice between either a conventional or fault-tolerant system as application requirements dictate. This volume is a "must have" for all professionals in digital signal processing, parallel and distributed computer architecture, and fault-tolerant computing.

Author: Peter Kinget
Publisher: Springer Science & Business Media
ISBN: 1475725809
Category : Technology & Engineering
Languages : en
Pages : 235

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When comparing conventional computing architectures to the architectures of biological neural systems, we find several striking differences. Conventional computers use a low number of high performance computing elements that are programmed with algorithms to perform tasks in a time sequenced way; they are very successful in administrative applications, in scientific simulations, and in certain signal processing applications. However, the biological systems still significantly outperform conventional computers in perception tasks, sensory data processing and motory control. Biological systems use a completely dif ferent computing paradigm: a massive network of simple processors that are (adaptively) interconnected and operate in parallel. Exactly this massively parallel processing seems the key aspect to their success. On the other hand the development of VLSI technologies provide us with technological means to implement very complicated systems on a silicon die. Especially analog VLSI circuits in standard digital technologies open the way for the implement at ion of massively parallel analog signal processing systems for sensory signal processing applications and for perception tasks. In chapter 1 the motivations behind the emergence of the analog VLSI of massively parallel systems is discussed in detail together with the capabilities and !imitations of VLSI technologies and the required research and developments. Analog parallel signal processing drives for the development of very com pact, high speed and low power circuits. An important technologicallimitation in the reduction of the size of circuits and the improvement of the speed and power consumption performance is the device inaccuracies or device mismatch.

Author: Magdy A. Bayoumi
Publisher: Springer Science & Business Media
ISBN: 146153996X
Category : Technology & Engineering
Languages : en
Pages : 289

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Book Description
Over the past few years, the demand for high speed Digital Signal Proces sing (DSP) has increased dramatically. New applications in real-time image processing, satellite communications, radar signal processing, pattern recogni tion, and real-time signal detection and estimation require major improvements at several levels; algorithmic, architectural, and implementation. These perfor mance requirements can be achieved by employing parallel processing at all levels. Very Large Scale Integration (VLSI) technology supports and provides a good avenue for parallelism. Parallelism offers efficient sohitions to several problems which can arise in VLSI DSP architectures such as: 1. Intermediate data communication and routing: several DSP algorithms, such as FFT, involve excessive data routing and reordering. Parallelism is an efficient mechanism to minimize the silicon cost and speed up the pro cessing time of the intermediate middle stages. 2. Complex DSP applications: the required computation is almost doubled. Parallelism will allow two similar channels processing at the same time. The communication between the two channels has to be minimized. 3. Applicatilm specific systems: this emerging approach should achieve real-time performance in a cost-effective way. 4. Testability and fault tolerance: reliability has become a required feature in most of DSP systems. To achieve such property, the involved time overhead is significant. Parallelism may be the solution to maintain ac ceptable speed performance.

Author: M. Osman Tokhi
Publisher: Springer Science & Business Media
ISBN: 1447100875
Category : Technology & Engineering
Languages : en
Pages : 262

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Book Description
This book introduces the advantages of parallel processing and details how to use it to deal with common signal processing and control algorithms. The text includes examples and end-of-chapter exercises, and case studies to put theoretical concepts into a practical context.

Author: Bertil Schmidt
Publisher: CRC Press
ISBN: 1439858365
Category : Computers
Languages : en
Pages : 425

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New sequencing technologies have broken many experimental barriers to genome scale sequencing, leading to the extraction of huge quantities of sequence data. This expansion of biological databases established the need for new ways to harness and apply the astounding amount of available genomic information and convert it into substantive biological

Author: Sun-Yuan Kung
Publisher:
ISBN:
Category :
Languages : en
Pages : 53

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This report describes our research activities under SRO project, performed by University of Southern California, Naval Ocean System Center, Hughes Research Laboratories, Univ. of Calif., San Diego, Standford University and Integrated Systems, Inc., for the period 1 March 1981 to 28 February 1982 with the Office of Naval Research. This research activities have focussed on the VLSI signal processing theory and algorithms and the development of parallel computing architectures. A solution in today's VLSI research challenge lies in a cross-disciplinary research encompassing the areas of mathematics, algorithms, computers and applications. To this end, this report summarizes two parallel major research tasks: (1) Signal processing algorithm and theory - emphasizing spectral analysis and its applications; and (2) parallel computing structures - utilizing VLSI potential for high-speed signal processing.