Zobrazeno 1 - 10 of 14 pro vyhledávání: '"Anitha Arumalla"'
1
Efficient Architecture for Block Parallel Convolution using Two-Dimensional Polyphase Decomposition
Autor: Madhavi Latha Makkena, Anitha Arumalla
Publikováno v: Circuits, Systems, and Signal Processing. 41:1166-1186
Ultra-high-definition (UHD) video standards demand processing speed from 60 to 120 fps. These standards require relatively huge resources for providing such high processing speed. In this paper, an area-efficient and high-speed two-dimensional (2D) $
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b20aea0c3fbdc77d347a7960adb6c139
https://doi.org/10.1007/s00034-021-01811-9
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3
Partial dynamic reconfiguration framework for FPGA: A survey with concepts, constraints and trends
Autor: T. Siva Sankar Phani, Anitha Arumalla, M. Durga Prakash
Publikováno v: Materials Today: Proceedings. 46:3704-3711
With demand for high performance and huge logic dense portable devices, the need for silicon area is increasing. A potential solution for the electronics industry to develop such huge logic demanding applications is the ability to reconfigure the sys
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d24de0bcbf6d37f99610b736da798fdc
https://doi.org/10.1016/j.matpr.2021.01.851
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7
Scalable Recursive Convolution Algorithm for the Development of Parallel FIR Filter Architectures
Autor: Anitha Arumalla, Madhavi Latha Makkena
Publikováno v: Lecture Notes in Electrical Engineering ISBN: 9789811073281
The paper presents 2-parallel and 3-parallel scalable recursive short convolution algorithms. The performance of these two short convolution algorithms is verified for different order filters. Hardware complexity is reduced by a factor of 3/4 in 2-pa
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fd85c19b7b7ea7e10d641c6f5104c1e0
https://doi.org/10.1007/978-981-10-7329-8_26
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8
A 2 × 2 Block Processing Architecture for a Two-Dimensional FIR Filter Using Scalable Recursive Convolution
Autor: Anitha Arumalla, Madhavi Latha Makkena
Publikováno v: Advances in Intelligent Systems and Computing ISBN: 9789811078675
In this paper, a 2 × 2 block processing architecture for a two-dimensional FIR filter is proposed. A 2-parallel scalable recursive convolution algorithm is used to develop \(p \times q\) block processing algorithm where \(p\) and \(q\) are multiples
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6eea1a8ddcc9e353a25cf5dd47b7101b
https://doi.org/10.1007/978-981-10-7868-2_42
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10
Akademický článek
Efficient Architecture for Block Parallel Convolution using Two-Dimensional Polyphase Decomposition.
Autor: Arumalla, Anitha, Makkena, Madhavi Latha
Publikováno v: Circuits, Systems & Signal Processing; Feb2022, Vol. 41 Issue 2, p1166-1186, 21p
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