Energy-Efficient Approximate Multiplication for Digital Signal Processing and Classification Applications

Narayanamoorthy, Srinivasan; Asghari-Moghaddam, Hadi; Liu, Zhenhong; Park, Taejoon; Kim, Nam Sung

doi:10.1109/tvlsi.2014.2333366

Cited by 175 publications

(122 citation statements)

References 12 publications

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“…Recently, they also proposed approximate multipliers for such a trade-off [2]. Recently, they also proposed approximate multipliers for such a trade-off [2].…”

Section: Approximate Multipliermentioning

confidence: 99%

“…By exploiting AFT of SSP, researchers have truncated the bit width of multipliers to support the trade-off between the energy consumption and precision. Recently, they also proposed approximate multipliers for such a trade-off [2]. The more a multiplier is under-designed, the less energy it consumes with a higher imprecision for a given bit width of a multiplier.…”

Section: Approximate Multipliermentioning

confidence: 99%

“…Approximate processing can considerably reduce the energy consumption of SSP with a gradual degradation in sound quality. As multipliers and analog-to-digital converters (ADCs) are the two most energyconsuming components in SSP, researchers have proposed multipliers (for example, [2]) and ADCs (for example, [3]) that can support approximations and a trade-off between precision and energy consumption, leveraging AFT of SSP.…”

Section: Introductionmentioning

confidence: 99%

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Energy-Efficient Approximate Speech Signal Processing for Wearable Devices

2017

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As wearable devices are powered by batteries, they need to consume as little energy as possible. To address this challenge, in this article, we propose a synergistic technique for energy‐efficient approximate speech signal processing (ASSP) for wearable devices. More specifically, to enable the efficient trade‐off between energy consumption and sound quality, we synergistically integrate an approximate multiplier and a successive approximate register analog‐to‐digital converter using our enhanced conversion algorithm. The proposed ASSP technique provides ~40% lower energy consumption with ~5% higher sound quality than a traditional one that optimizes only the bit width of SSP.

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“…Recently, they also proposed approximate multipliers for such a trade-off [2]. Recently, they also proposed approximate multipliers for such a trade-off [2].…”

Section: Approximate Multipliermentioning

confidence: 99%

Section: Approximate Multipliermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Energy-Efficient Approximate Speech Signal Processing for Wearable Devices

2017

Self Cite

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“…Then, a pseudo-carry compensated truncation (PCT) scheme has been demostrated by using an adaptive pseudo carry compensation [5]. With an 8 × 8 multiplier, even a 99.4% accuracy for a 16 × 16 multiplication has been shown [6]. While, the performance of different kinds of computing methods such as Wallace, Dadda, Compr.…”

Section: Introductionmentioning

confidence: 99%

A Novel Signed Truncated Booth Multiplier Based on Probability

Tan¹,

Liu

Peng

et al. 2018

Proceedings of Information Science and Cloud Computing — PoS(ISCC 2017)

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“…Although this conversion process leads to some loss of computational accuracy, but it does not affect the quality of digital signal processing applications due to computational error tolerance. The approximate multiplication technique takes m-consecutive bits from each n-bit operand [1].…”

Section: Introductionmentioning

confidence: 99%

Digital Signal Processing Applications using Multiplier Technique in Fixed Point Arithmetic

2016

IJSR

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Embedded and mobile computing devices are frequently required to execute some key digital signal processing applications.Such applications using fixed point arithmetic for some computational errors. Most of the digital signal processing application required to increase the speed. In this proposed multipliers are array multipliers, Booth multipliers and Modified booth multipliers compared with their power, area and accuracy. Finally, note that the modified booth multiplier is improving the performance based on the power area and accuracy. But the delay is reduced in the Booth multiplier. The computation error is present in the multipliers, but it does not affect the quality of the DSP applications.

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Energy-Efficient Approximate Multiplication for Digital Signal Processing and Classification Applications

Cited by 175 publications

References 12 publications

Energy-Efficient Approximate Speech Signal Processing for Wearable Devices

Energy-Efficient Approximate Speech Signal Processing for Wearable Devices

A Novel Signed Truncated Booth Multiplier Based on Probability

Digital Signal Processing Applications using Multiplier Technique in Fixed Point Arithmetic

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