caa a22 4500 606206272 CHVBK 20210128101010.0 cr unu---uuuuu 210128e20150501xx s 000 0 eng 10.1007/s00034-014-9914-2 doi (NATIONALLICENCE)springer-10.1007/s00034-014-9914-2 Design of Two-Channel Quadrature Mirror Filter Banks Using Minor Component Analysis Algorithm [Elektronische Daten] [Li-Woei Chen, Yue-Dar Jou, Shu-Sheng Hao] The design of two-channel quadrature mirror filter banks can be constructed based on real infinite impulse response (IIR) all-pass digital filters without yielding magnitude distortion. The design problem is first formulated as a phase optimization using IIR all-pass filters in the least-squares sense. Then the nonlinear phase optimization is further converted into solving an eigenproblem of an appropriate real, symmetric, and positive-definite matrix. In this paper, the minor component analysis algorithm based on the neural learning rule is exploited to the design of eigenfilter. When the learning algorithm achieves convergence, the weights of the neural system approximate the smallest eigenvector, which are the optimal filter coefficients of the IIR all-pass filters. The simulation results confirm that the proposed neural-based method can achieve accurate performance by incorporating the simple neural model. Springer Science+Business Media New York, 2014 All-pass nationallicence Eigenfilter nationallicence Infinite impulse response nationallicence Least-squares nationallicence Minor component analysis nationallicence Quadrature mirror filter nationallicence Chen Li-Woei School of Defense Science, Chung Cheng Institute of Technology, National Defense University, Tahsi County, Taoyuan 335, Taiwan, ROC aut Jou Yue-Dar Department of Electrical Engineering, R.O.C. Military Academy, Feng-Shan District, P.O. Box 90602-6, Kaohsiung 830, Taiwan, ROC aut Hao Shu-Sheng School of Defense Science, Chung Cheng Institute of Technology, National Defense University, Tahsi County, Taoyuan 335, Taiwan, ROC aut Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/5(2015-05-01), 1549-1569 0278-081X 34:5<1549 2015 34 34 https://doi.org/10.1007/s00034-014-9914-2 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/s00034-014-9914-2 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Chen Li-Woei School of Defense Science, Chung Cheng Institute of Technology, National Defense University, Tahsi County, Taoyuan 335, 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, Kaohsiung 830, Taiwan, ROC aut NATIONALLICENCE 700 1- Hao Shu-Sheng School of Defense Science, Chung Cheng Institute of Technology, National Defense University, Tahsi County, Taoyuan 335, Taiwan, ROC aut NATIONALLICENCE 773 0- Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/5(2015-05-01), 1549-1569 0278-081X 34:5<1549 2015 34 34