Programming of digital linear phase filter in ARMv8 architecture

We consider the problem of using processors with an ARMv8 architecture to speed up the operation of multimedia algorithms and digital processing when solving problems of signal recovery in the filtering process. As an example, the implementation of the algorithm of a digital FIR filter with a linear...

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Main Authors: A. M. Vodovozov, D. S. Poletaev
Format: Article
Language:English
Published: Ivannikov Institute for System Programming of the Russian Academy of Sciences 2019-02-01
Series:Труды Института системного программирования РАН
Subjects:
Online Access:https://ispranproceedings.elpub.ru/jour/article/view/1134
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spelling doaj-5a4f0df6865644b7b7be96a8b3e1d6892020-11-25T02:06:24Zeng Ivannikov Institute for System Programming of the Russian Academy of SciencesТруды Института системного программирования РАН2079-81562220-64262019-02-0130630531410.15514/ISPRAS-2018-30(6)-171133Programming of digital linear phase filter in ARMv8 architectureA. M. Vodovozov0D. S. Poletaev1Вологодский государственный университетВологодский государственный университетWe consider the problem of using processors with an ARMv8 architecture to speed up the operation of multimedia algorithms and digital processing when solving problems of signal recovery in the filtering process. As an example, the implementation of the algorithm of a digital FIR filter with a linear phase-frequency characteristic is considered. The proposed formula for calculating the filter. The algorithm is optimized using vector SIMD instructions of the ARMv8 architecture. An implementation of the C signal processing algorithm on a BCM2837 chip with an ARM Cortex-A53 processor is presented. The solution provided effective recovery of frequencies distorted when transmitting signals in the audio range and proves the efficiency of using mobile multicore ARMv8 processors for parallel data processing in solving complex computational problems. Experimental results prove that the use of ARMv8 architecture processors when solving signal filtering problems significantly speeds up multimedia and signal processing algorithms such as video encoder / decoder, 2D / 3D graphics, games, sound and speech processing, image processing, telephony and sound.https://ispranproceedings.elpub.ru/jour/article/view/1134цифровая обработка сигналовлинейно-фазовый фильтрконечная импульсная характеристика
collection DOAJ
language English
format Article
sources DOAJ
author A. M. Vodovozov
D. S. Poletaev
spellingShingle A. M. Vodovozov
D. S. Poletaev
Programming of digital linear phase filter in ARMv8 architecture
Труды Института системного программирования РАН
цифровая обработка сигналов
линейно-фазовый фильтр
конечная импульсная характеристика
author_facet A. M. Vodovozov
D. S. Poletaev
author_sort A. M. Vodovozov
title Programming of digital linear phase filter in ARMv8 architecture
title_short Programming of digital linear phase filter in ARMv8 architecture
title_full Programming of digital linear phase filter in ARMv8 architecture
title_fullStr Programming of digital linear phase filter in ARMv8 architecture
title_full_unstemmed Programming of digital linear phase filter in ARMv8 architecture
title_sort programming of digital linear phase filter in armv8 architecture
publisher Ivannikov Institute for System Programming of the Russian Academy of Sciences
series Труды Института системного программирования РАН
issn 2079-8156
2220-6426
publishDate 2019-02-01
description We consider the problem of using processors with an ARMv8 architecture to speed up the operation of multimedia algorithms and digital processing when solving problems of signal recovery in the filtering process. As an example, the implementation of the algorithm of a digital FIR filter with a linear phase-frequency characteristic is considered. The proposed formula for calculating the filter. The algorithm is optimized using vector SIMD instructions of the ARMv8 architecture. An implementation of the C signal processing algorithm on a BCM2837 chip with an ARM Cortex-A53 processor is presented. The solution provided effective recovery of frequencies distorted when transmitting signals in the audio range and proves the efficiency of using mobile multicore ARMv8 processors for parallel data processing in solving complex computational problems. Experimental results prove that the use of ARMv8 architecture processors when solving signal filtering problems significantly speeds up multimedia and signal processing algorithms such as video encoder / decoder, 2D / 3D graphics, games, sound and speech processing, image processing, telephony and sound.
topic цифровая обработка сигналов
линейно-фазовый фильтр
конечная импульсная характеристика
url https://ispranproceedings.elpub.ru/jour/article/view/1134
work_keys_str_mv AT amvodovozov programmingofdigitallinearphasefilterinarmv8architecture
AT dspoletaev programmingofdigitallinearphasefilterinarmv8architecture
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