Portable Video-on-Demand in Wireless Communication

Meng, Tao; Gordon, Benjamin M.; Tsern, E.K.; Hung, A.C.

doi:10.1007/978-1-4615-2307-9_10

Cited by 82 publications

(23 citation statements)

References 12 publications

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“…Also other groups have made similar observations [12] for video applications. Up to now however no systematic approach has been published to target this important field.…”

Section: Related Worksupporting

confidence: 61%

Power exploration for data dominated video applications

Wuytack¹,

Catthoor²,

Nachtergaele³

et al.

Proceedings of 1996 International Symposium on Low Power Electronics and Design

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“…Also other groups have made similar observations [12] for video applications. Up to now however no systematic approach has been published to target this important field.…”

Section: Related Worksupporting

confidence: 61%

Power exploration for data dominated video applications

Wuytack¹,

Catthoor²,

Nachtergaele³

et al.

Proceedings of 1996 International Symposium on Low Power Electronics and Design

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“…But vector quantization decompression is based on lookups in a code decompression table; hence it is a memory-intensive approach. Meng et al [1995] designed a low-power video decoder chip based on vector quantization. They claimed that vector quantization is very power efficient because decompression is simply based on a memory lookup, and does not require extensive computations, as in the case of MPEG decoding.…”

Section: Algorithm Computational Energymentioning

confidence: 99%

System-level power optimization

Benini

Micheli

2000

ACM Trans. Des. Autom. Electron. Syst.

316

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This tutorial surveys design methods for energy-efficient system-level design. We consider electronic systems consisting of a hardware platform and software layers. We consider the three major constituents of hardware that consume energy, namely computation, communication, and storage units, and we review methods for reducing their energy consumption. We also study models for analyzing the energy cost of software, and methods for energy-efficient software design and compilation.This survey is organized around three main phases of a system design: conceptualization and modeling, design and implementation, and runtime management. For each phase, we review recent techniques for energy-efficient design of both hardware and software.

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“…An integrated approach to the design of a low-power video compression/decompression system which focuses on both the algorithm and architectural design techniques at power levels which are two orders of magnitude below existing solutions is described in [95]. Algorithmic trade-offs include the use of on-chip computation to eliminate off-chip memory accesses, the use of channel-optimized data representations to avoid the error control hardware that would otherwise be necessary, and the encoding of internal data representations to further reduce the energy consumed in data exchanges.…”

Section: Algorithm and System Designmentioning

confidence: 99%

Power minimization in IC design

Pedram

1996

ACM Trans. Des. Autom. Electron. Syst.

393

135

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Low power has emerged as a principal theme in today's electronics industry. The need for low power has caused a major paradigm shift in which power dissipation is as important as performance and area. This article presents an in-depth survey of CAD methodologies and techniques for designing low power digital CMOS circuits and systems and describes the many issues facing design-ers at architectural, logic and physical levels of design abstraction. It reviews some of the techniques and tools that have been proposed to overcome these difficulties and outlines the future challenges that must be met to design low power, high performance systems.

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Portable Video-on-Demand in Wireless Communication

Cited by 82 publications

References 12 publications

Power exploration for data dominated video applications

Power exploration for data dominated video applications

System-level power optimization

Power minimization in IC design

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