GA optimized fuzzy controlled DPLL using discrete energy separation algorithm
Sarkar, Surjadeep ; Sarkar, Anasua LU
; Biswas, Baidyanath
and Maulik, U.
(2016)
1st IEEE International Conference on Control, Measurement and Instrumentation, CMI 2016
p.120-124
- Abstract
In this paper a novel digital phase lock loop (DPLL) is introduced with Teager energy operator (TEO) incorporated discrete energy separation algorithm DESA2. The output of the DESA2 is controlled using genetic algorithm (GA) optimized fuzzy controller. The input and output membership functions are optimized using GA along with the input and output controller gains of the fuzzy controller. This kind of approach to design a DPLL is a new idea in the signal processing and DPLL design.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/99489b6d-bb1c-41dc-8bb3-677c7aab3312
- author
- Sarkar, Surjadeep
; Sarkar, Anasua
LU
; Biswas, Baidyanath
and Maulik, U.
- publishing date
- 2016-02-18
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- keywords
- DESA, DPLL, fuzzy controller, Genetic algorithm, phase modulation
- host publication
- 2016 IEEE 1st International Conference on Control, Measurement and Instrumentation, CMI 2016
- article number
- 7413723
- pages
- 120 - 124
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 1st IEEE International Conference on Control, Measurement and Instrumentation, CMI 2016
- conference location
- Kolkata, India
- conference dates
- 2016-01-08 - 2016-01-10
- external identifiers
-
- scopus:84964336649
- ISBN
- 9781479917693
- DOI
- 10.1109/CMI.2016.7413723
- language
- English
- LU publication?
- no
- id
- 99489b6d-bb1c-41dc-8bb3-677c7aab3312
- date added to LUP
- 2018-10-09 09:44:34
- date last changed
- 2022-02-15 05:13:09
@inproceedings{99489b6d-bb1c-41dc-8bb3-677c7aab3312,
abstract = {{<p>In this paper a novel digital phase lock loop (DPLL) is introduced with Teager energy operator (TEO) incorporated discrete energy separation algorithm DESA2. The output of the DESA2 is controlled using genetic algorithm (GA) optimized fuzzy controller. The input and output membership functions are optimized using GA along with the input and output controller gains of the fuzzy controller. This kind of approach to design a DPLL is a new idea in the signal processing and DPLL design.</p>}},
author = {{Sarkar, Surjadeep and Sarkar, Anasua and Biswas, Baidyanath and Maulik, U.}},
booktitle = {{2016 IEEE 1st International Conference on Control, Measurement and Instrumentation, CMI 2016}},
isbn = {{9781479917693}},
keywords = {{DESA; DPLL; fuzzy controller; Genetic algorithm; phase modulation}},
language = {{eng}},
month = {{02}},
pages = {{120--124}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
title = {{GA optimized fuzzy controlled DPLL using discrete energy separation algorithm}},
url = {{http://dx.doi.org/10.1109/CMI.2016.7413723}},
doi = {{10.1109/CMI.2016.7413723}},
year = {{2016}},
}