Author_Institution :
Software Coll., Shenyang Normal Univ., Shenyang, China
Abstract :
Notice of Violation of IEEE Publication Principles
"Design and Simulation of FIR Digital Filter using Fuzzy Adaptive Method"
by Yong Zhang, Chen Wang
in the Proceedings of the 2010 International Conference on Wireless Communications Networking and Mobile Computing (WiCOM), September 2010
After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE\´s Publication Principles.
This paper contains significant portions of original text from the papers cited below. The original text was copied without attribution (including appropriate references to the original author(s) and/or paper title) and without permission.
Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following articles:
"Frequency Domain FIR Filter Design using Fuzzy Adaptive Simulated Annealing"
by Hime A. Oliviera Jr, Antonio Petraglia, Mariane R. Petraglia
Circuits, Systems, and Signal Processing, Vol 28, No 6, 2009, Elsevier pp. 899-911
"Frequency Domain FIR Filter Design using Fuzzy Adaptive Simulated Annealing"
by Hime A. Oliviera Jr, Antonio Petraglia, Mariane R. Petraglia
Proceedings of the 2007 International Symposium on Signal Processing and Information Technology, December 2007, pp. 884-888
A design method for FIR digital filter is presented. Frequency domain constraints and a parameterized expression of the filter family under adaptation, a corresponding training set is created and a global minimization process is executed. The adopted numerical optimization algorithm is based upon the simulated annealing paradigm and its implementation is known as fuzzy adaptive simulated annealing. Design example is shown to verify the effectiveness of the proposed approach.
Keywords :
FIR filters; frequency-domain analysis; fuzzy set theory; minimisation; simulated annealing; FIR digital filter; filter family; frequency domain constraint; fuzzy adaptive simulated annealing; global minimization; numerical optimization; parameterized expression; Adaptation model; Algorithm design and analysis; Finite impulse response filter; Minimization; Simulated annealing;