caa a22 4500 606206701 CHVBK 20210128101012.0 cr unu---uuuuu 210128e20151101xx s 000 0 eng 10.1007/s00034-015-0019-3 doi (NATIONALLICENCE)springer-10.1007/s00034-015-0019-3 An Iterative Constrained Minimax Approach to Magnitude Response Design of FIR Evidence Filters [Elektronische Daten] [Jun Liu, Yunfei Guo, Anke Xue, Xiaoping Lai] Evidence filtering is a promising approach to infer the "frequency” characteristics of various events of interest from temporally and spatially distributed sensor data based on Dempster-Shafer evidence theory. The design of evidence filters has several challenges due to the nonnegativity of the filters' coefficients. This paper presents an iterative constrained minimax method for the magnitude response design of finite impulse response evidence filters with a prescribed transition-band magnitude drop. The method iteratively converts the problem into a sequence of minimax magnitude error subproblems of the evidence filters with given minimum stopband attenuations. The convergence of the global solutions of these subproblems to the global solution of the original problem is established. By using a recently published algorithm to solve the subproblems, the proposed method has obtained better magnitude responses than existing methods in design examples of this paper. Springer Science+Business Media New York, 2015 Evidence filter nationallicence FIR filter nationallicence Magnitude response nationallicence Constrained minimax design nationallicence Liu Jun Institute of Information and Control, Hangzhou Dianzi University, 310018, Hangzhou, China aut Guo Yunfei Institute of Information and Control, Hangzhou Dianzi University, 310018, Hangzhou, China aut Xue Anke Institute of Information and Control, Hangzhou Dianzi University, 310018, Hangzhou, China aut Lai Xiaoping Institute of Information and Control, Hangzhou Dianzi University, 310018, Hangzhou, China aut Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/11(2015-11-01), 3559-3572 0278-081X 34:11<3559 2015 34 34 https://doi.org/10.1007/s00034-015-0019-3 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00034-015-0019-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Liu Jun Institute of Information and Control, Hangzhou Dianzi University, 310018, Hangzhou, China aut NATIONALLICENCE 700 1- Guo Yunfei Institute of Information and Control, Hangzhou Dianzi University, 310018, Hangzhou, China aut NATIONALLICENCE 700 1- Xue Anke Institute of Information and Control, Hangzhou Dianzi University, 310018, Hangzhou, China aut NATIONALLICENCE 700 1- Lai Xiaoping Institute of Information and Control, Hangzhou Dianzi University, 310018, Hangzhou, China aut NATIONALLICENCE 773 0- Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/11(2015-11-01), 3559-3572 0278-081X 34:11<3559 2015 34 34