ReFACE: Efficient Design Methodology for Acceleration of Digital Filter Implementations

Roohi, Arman; Angizi, Shaahin; Navaeilavasani, Pooriya; Taheri, MohammadReza

doi:10.1109/isqed54688.2022.9806144

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2023

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(2 citation statements)

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“…The implementation was carried out using the Python programming language and libraries such as Numpy, Scikit-learn, and Matplotlib, which facilitated efficient mathematical operations, machine learning tools, and data visualization. [16] 2022…”

Section: Resultsmentioning

confidence: 99%

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Support vector machines implementation over integers modulo-M and Residue Number System

Arenas-Hoyos,

Bernal-Noreña

2023

DYNA

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In low-power hardware implementations for classification algorithms, it is often essential to use physical resources efficiently. In this sense, the use of modulo-M integer operations instead of floating-point arithmetic, can lead to better performance, especially when M represents the dynamic range of an arithmetic block of the Residue Number System (RNS) [1,2]. Following this premise, this work is aiming to provide a methodology for implementing a classifier, specifically a Support Vector Machine (SVM) [3], using modulo-M integers and proposing a method for the use of Residue Number System.

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Section: Resultsmentioning

confidence: 99%

“…Additionally, the research presents a methodology for performing the exponential operation in RNS. Both of these objectives hold fundamental importance in advancing the practical application of unconventional numerical systems, such as RNS, in pattern recognition systems and digital signal processing [11,15,16,24,26].…”

Section: Discussionmentioning

confidence: 99%

Support vector machines implementation over integers modulo-M and Residue Number System

Arenas-Hoyos,

Bernal-Noreña

2023

DYNA

View full text Add to dashboard Cite

show abstract

ReFACE: Efficient Design Methodology for Acceleration of Digital Filter Implementations

Cited by 1 publication

References 13 publications

Support vector machines implementation over integers modulo-M and Residue Number System

Support vector machines implementation over integers modulo-M and Residue Number System

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