caa a22 4500 606205144 CHVBK 20210128101006.0 cr unu---uuuuu 210128e20150901xx s 000 0 eng 10.1007/s00034-015-9999-2 doi (NATIONALLICENCE)springer-10.1007/s00034-015-9999-2 Design of IIR All-Pass Filters Using a Neural-Based Learning Algorithm [Elektronische Daten] [Li-Woei Chen, Yue-Dar Jou, Jian-Kai Huang, Shu-Sheng Hao] Least-squares design of infinite impulse response all-pass filter can be formulated as an eigenvector solving problem based on the Rayleigh principle. The eigenfilter is designed by solving a single eigenvector corresponding to the smallest eigenvalue of a real, symmetric, and positive-definite matrix. This paper proposes a minor component analysis-based neural learning algorithm for designing eigenfilter. By appropriately mapping the associated all-pass filter specifications to the simple neural model enables the filter coefficients to be derived from the neural weights. The neural weights eventually approach the optimal filter coefficients of the eigenfilter when the neural model achieves convergence. The proposed neural learning algorithm is demonstrated from simulation results to converge rapidly and achieve accurate performance of eigenfilter design. Springer Science+Business Media New York, 2015 All-pass nationallicence Eigenfilter nationallicence Infinite impulse response nationallicence Minor component analysis nationallicence Chen Li-Woei Media Design Center, R.O.C. Army Command Headquaters, Long-Tan District, 325, Taoyuan, Taiwan, ROC aut Jou Yue-Dar Department of Electrical Engineering, R.O.C. Military Academy, Feng-Shan District, P. O. Box 90602-6, 830, Kaohsiung, Taiwan, ROC aut Huang Jian-Kai Department of Electrical Engineering, R.O.C. Military Academy, Feng-Shan District, P. O. Box 90602-6, 830, Kaohsiung, Taiwan, ROC aut Hao Shu-Sheng School of Defense Science, Chung Cheng Institute of Technology, National Defense University, Ta-Hsi District, 335, Taoyuan, Taiwan, ROC aut Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/9(2015-09-01), 3031-3056 0278-081X 34:9<3031 2015 34 34 https://doi.org/10.1007/s00034-015-9999-2 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/s00034-015-9999-2 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Chen Li-Woei Media Design Center, R.O.C. Army Command Headquaters, Long-Tan District, 325, Taoyuan, Taiwan, ROC aut NATIONALLICENCE 700 1- Jou Yue-Dar Department of Electrical Engineering, R.O.C. Military Academy, Feng-Shan District, P. O. Box 90602-6, 830, Kaohsiung, Taiwan, ROC aut NATIONALLICENCE 700 1- Huang Jian-Kai Department of Electrical Engineering, R.O.C. Military Academy, Feng-Shan District, P. O. Box 90602-6, 830, Kaohsiung, Taiwan, ROC aut NATIONALLICENCE 700 1- Hao Shu-Sheng School of Defense Science, Chung Cheng Institute of Technology, National Defense University, Ta-Hsi District, 335, Taoyuan, Taiwan, ROC aut NATIONALLICENCE 773 0- Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/9(2015-09-01), 3031-3056 0278-081X 34:9<3031 2015 34 34