Reduced power consumption for MPEG decoding with LNS

Arnold, Mark G.

doi:10.1109/asap.2002.1030705

Cited by 25 publications

(16 citation statements)

References 11 publications

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“…In particular, several authors have shown that LNS reduces power dissipation in a variety of signal processing-related applications, ranging from hearing-aid devices [15] and subband coding [16] to video processing [17] and error control [18]. Moreover, logarithmic techniques have been employed in turbo code decoding for wireless communications applications.…”

Section: Literature Reviewmentioning

confidence: 99%

Logarithmic Number System and Its Application in FIR Filter Design

Paliouras

2017

Embedded Systems Design With Special Arithmetic and Number Systems

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Data representation is an important parameter in the design of digital signal processors as it affects their performance and hardware complexity. Data representation influences the choice of algorithms and the hardware architecture, thus it has an impact on data storage requirements, processing performance, complexity, and power dissipation [1][2][3].The Logarithmic Number System (LNS) can be used to efficiently represent data in special-purpose processors. The efficiency of LNS stems from the properties of the logarithm exploited to reduce the basic arithmetic operations of multiplication, division, square roots, and squares to simple binary addition, subtraction, and right and left shifts, respectively [4]. Similarly, the computation of general roots and powers as well as of reciprocals are substantially simplified.Building on the reduced complexity of certain arithmetic operations, digital signal processor implementations can benefit from substantial architectural-level simplifications. Furthermore, beyond operation strength reduction, superior LNS dynamic range and numerical behavior, compared to conventional representations, are additional reasons that make LNS attractive. In order to fully utilize LNS potential, procedures are required to optimally define LNS design parameters and derive LNS solutions, matched to application specifications and requirements.

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Section: Literature Reviewmentioning

confidence: 99%

Logarithmic Number System and Its Application in FIR Filter Design

Paliouras

2017

Embedded Systems Design With Special Arithmetic and Number Systems

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“…Conventional multiplication involves extensive computation and bit switching. In LNS, since multiplication is a simple addition, the number of bits and the frequency of their switching are significantly reduced [5].…”

Section: Logarithmic Number Systemsmentioning

confidence: 99%

“…Addition and subtraction in LNS are handled through lookup tables, through signals such as s(z)= log(1+b z ) and d(z) = log|1-b z |, but it has been shown that this lookup often requires minimal hardware for systems that tolerate low precision [5]. Let x=log|X| and y=log|Y|.…”

Section: Logarithmic Number Systemsmentioning

confidence: 99%

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Finite precision analysis of support vector machine classification in logarithmic number systems

Khan

Arnold

Pottenger

2004

Euromicro Symposium on Digital System Design, 2004. DSD 2004.

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“…A digital random forest detector is designed using Log-oped at John Hopkins is a SVM classification module, with a arithmic Number Systems (LNS) yielding in a considerable system precision resolution of no more than 8 bits. Anguita hardware savings (e.g., energy-efficient properties [4]) with et al propose the design of a fully digital architecture for no degradations in classification and recognition accuracy. SVM classification employing the linear and RBF kernels.…”

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confidence: 99%