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FPGA Implementation of an Improved Reconfigurable FSMIM Architecture Using Logarithmic Barrier Function Based Gradient Descent Approach
Joint Authors
Source
International Journal of Reconfigurable Computing
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-04-01
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Information Technology and Computer Science
Abstract EN
Recently, the Reconfigurable FSM has drawn the attention of the researchers for multistage signal processing applications.
The optimal synthesis of Reconfigurable finite state machine with input multiplexing (Reconfigurable FSMIM) architecture is done by the iterative greedy heuristic based Hungarian algorithm (IGHA).
The major problem concerning IGHA is the disintegration of a state encoding technique.
This paper proposes the integration of IGHA with the state assignment using logarithmic barrier function based gradient descent approach to reduce the hardware consumption of Reconfigurable FSMIM.
Experiments have been performed using MCNC FSM benchmarks which illustrate a significant area and speed improvement over other architectures during field programmable gate array (FPGA) implementation.
American Psychological Association (APA)
Das, Nitish& Priya, P. Aruna. 2019. FPGA Implementation of an Improved Reconfigurable FSMIM Architecture Using Logarithmic Barrier Function Based Gradient Descent Approach. International Journal of Reconfigurable Computing،Vol. 2019, no. 2019, pp.1-17.
https://search.emarefa.net/detail/BIM-1168487
Modern Language Association (MLA)
Das, Nitish& Priya, P. Aruna. FPGA Implementation of an Improved Reconfigurable FSMIM Architecture Using Logarithmic Barrier Function Based Gradient Descent Approach. International Journal of Reconfigurable Computing No. 2019 (2019), pp.1-17.
https://search.emarefa.net/detail/BIM-1168487
American Medical Association (AMA)
Das, Nitish& Priya, P. Aruna. FPGA Implementation of an Improved Reconfigurable FSMIM Architecture Using Logarithmic Barrier Function Based Gradient Descent Approach. International Journal of Reconfigurable Computing. 2019. Vol. 2019, no. 2019, pp.1-17.
https://search.emarefa.net/detail/BIM-1168487
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1168487