NDLI: Optimization of control parameter of Differential Evolution algorithm for efficient design of FIR filter

Content Provider	IEEE Xplore Digital Library
Author	Chattopadhyay, S. Sanyal, S.K. Chandra, A.
Copyright Year	2010
Description	Author affiliation: Department of Electronics & Telecommunication Engineering, Jadavpur University, Kolkata - 700 032, India (Chattopadhyay, S.; Sanyal, S.K.) \|\| Department of Electronics & Telecommunication Engineering, Bengal Engineering & Science University, Shibpur, Howrah- 711103, India (Chandra, A.)
Abstract	Modern signal processing applications invoke various evolutionary algorithms in different areas such as aerodynamic shape optimization, pattern recognition, digital filter design, automated mirror design etc. Presently, Differential Evolution (DE) algorithm has proved to be quite efficient in these areas. Digital filters of various kinds can be designed using this particular evolutionary technique. In this paper, we have studied the effect of an important control parameter namely, the Weighting Factor, on the convergence speed of the DE algorithm, associated with the efficient design of low-pass FIR filter being used subsequently as a pulse-shaping filter in a QPSK modulated system. Finally, the optimized value of the Weighting Factor for this specific design problem has been suggested. Experimentally measured Eye diagrams confirm the optimized value.
Starting Page	267
Ending Page	272
File Size	168981
Page Count	6
File Format	PDF
ISBN	9781424484966
e-ISBN	9781424484973
DOI	10.1109/ICCITECHN.2010.5723867
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-23
Publisher Place	Bangladesh
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis DE Eye diagram Cost Function Finite Impulse Response (FIR) filter Pulse Shaping filter Filtering algorithms Finite impulse response filter Cost function Band pass filters Convergence
Content Type	Text
Resource Type	Article

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