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Low Power Adder Based Auditory Filter Architecture

Cochlea devices are powered up with the help of batteries and they should possess long working life to avoid replacing of devices at regular interval of years. Hence the devices with low power consumptions are required. In cochlea devices there are numerous filters, each responsible for frequency va...

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Detalles Bibliográficos
Autores principales: Rahiman, P. F. Khaleelur, Jayanthi, V. S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4254078/
https://www.ncbi.nlm.nih.gov/pubmed/25506073
http://dx.doi.org/10.1155/2014/709149
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author Rahiman, P. F. Khaleelur
Jayanthi, V. S.
author_facet Rahiman, P. F. Khaleelur
Jayanthi, V. S.
author_sort Rahiman, P. F. Khaleelur
collection PubMed
description Cochlea devices are powered up with the help of batteries and they should possess long working life to avoid replacing of devices at regular interval of years. Hence the devices with low power consumptions are required. In cochlea devices there are numerous filters, each responsible for frequency variant signals, which helps in identifying speech signals of different audible range. In this paper, multiplierless lookup table (LUT) based auditory filter is implemented. Power aware adder architectures are utilized to add the output samples of the LUT, available at every clock cycle. The design is developed and modeled using Verilog HDL, simulated using Mentor Graphics Model-Sim Simulator, and synthesized using Synopsys Design Compiler tool. The design was mapped to TSMC 65 nm technological node. The standard ASIC design methodology has been adapted to carry out the power analysis. The proposed FIR filter architecture has reduced the leakage power by 15% and increased its performance by 2.76%.
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spelling pubmed-42540782014-12-11 Low Power Adder Based Auditory Filter Architecture Rahiman, P. F. Khaleelur Jayanthi, V. S. ScientificWorldJournal Research Article Cochlea devices are powered up with the help of batteries and they should possess long working life to avoid replacing of devices at regular interval of years. Hence the devices with low power consumptions are required. In cochlea devices there are numerous filters, each responsible for frequency variant signals, which helps in identifying speech signals of different audible range. In this paper, multiplierless lookup table (LUT) based auditory filter is implemented. Power aware adder architectures are utilized to add the output samples of the LUT, available at every clock cycle. The design is developed and modeled using Verilog HDL, simulated using Mentor Graphics Model-Sim Simulator, and synthesized using Synopsys Design Compiler tool. The design was mapped to TSMC 65 nm technological node. The standard ASIC design methodology has been adapted to carry out the power analysis. The proposed FIR filter architecture has reduced the leakage power by 15% and increased its performance by 2.76%. Hindawi Publishing Corporation 2014 2014-11-18 /pmc/articles/PMC4254078/ /pubmed/25506073 http://dx.doi.org/10.1155/2014/709149 Text en Copyright © 2014 P. F. K. Rahiman and V. S. Jayanthi. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Rahiman, P. F. Khaleelur
Jayanthi, V. S.
Low Power Adder Based Auditory Filter Architecture
title Low Power Adder Based Auditory Filter Architecture
title_full Low Power Adder Based Auditory Filter Architecture
title_fullStr Low Power Adder Based Auditory Filter Architecture
title_full_unstemmed Low Power Adder Based Auditory Filter Architecture
title_short Low Power Adder Based Auditory Filter Architecture
title_sort low power adder based auditory filter architecture
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4254078/
https://www.ncbi.nlm.nih.gov/pubmed/25506073
http://dx.doi.org/10.1155/2014/709149
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