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Journal articles on the topic 'Quadrature mirror filter bank'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

SAHU, O. P., M. K. SONI, and I. M. TALWAR. "DESIGNING QUADRATURE MIRROR FILTER BANKS USING STEEPEST DESCENT METHOD." Journal of Circuits, Systems and Computers 15, no. 01 (2006): 29–41. http://dx.doi.org/10.1142/s0218126606002903.

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This paper proposes a new technique for the design of quadrature mirror filter (QMF) banks by exploiting steepest descent method. The design problem is formulated to minimize an objective function, which is a weighted sum of the pass band error and stop band residual energy of the low pass analysis filter of the QMF bank. The minimization has been carried out gradually by respective optimum step lengths in the corresponding steepest descent directions of a linear combination of the objective function and square of the reconstruction error of the QMF bank at the quadrature frequency by optimizi

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2

Agrawal, S. K., and O. P. Sahu. "Two-Channel Quadrature Mirror Filter Bank: An Overview." ISRN Signal Processing 2013 (September 3, 2013): 1–10. http://dx.doi.org/10.1155/2013/815619.

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During the last two decades, there has been substantial progress in multirate digital filters and filter banks. This includes the design of quadrature mirror filters (QMF). A two-channel QMF bank is extensively used in many signal processing fields such as subband coding of speech signal, image processing, antenna systems, design of wavelet bases, and biomedical engineering and in digital audio industry. Therefore, new efficient design techniques are being proposed by several authors in this area. This paper presents an overview of analysis and design techniques of the two-channel QMF bank. Ap

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3

A., S. Kang, and Vig Renu. "Design and Implementation of Efficient Analysis and Synthesis QMF Bank for Multicarrier Cognitive Radio Communication." TELKOMNIKA Telecommunication, Computing, Electronics and Control 15, no. 2 (2017): 636–45. https://doi.org/10.12928/TELKOMNIKA.v15i2.4746.

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he present section deals with a new type of technique for designing an efficient two channel Quadrature Mirror Filter Bank with constant phase in frequency. For achieving the Perfect Reconstruction Condition in Filter bank, an attempt has been made to design the low pass prototype filter with its impulse response and frequency response in three regions namely pass band, stop band and transition band region. With the error in terms of Reconstruction and the attenuation in the stop band as seen in the prototype filter response, one can evaluate the performance of the introduced filter with the h

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4

Karakaş, Mehmet Fatih, and Fatma Latifoğlu. "Complex Exponential Modulated Quadrature Filter Bank Design Based on Chaos Game Optimization Algorithm." European Journal of Research and Development 3, no. 3 (2023): 14–30. http://dx.doi.org/10.56038/ejrnd.v3i3.274.

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The design approach presented in this paper uses a new metaheuristic method Chaos Game Optimization (CGO) to design a 2-channel quadrature mirror filter (QMF) banks. For this study, finite impulse response (FIR) low-pass prototype filter coefficients are optimized to minimize the cost function. The cost function is formulated as the sum of four terms: the square sum of the errors between this estimated frequency response and the ideal filter response, passband ripple, stopband ripple, and stopband edge frequency error. These parameters are important components of FIR filter prototype design th

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5

Kumar, A., G. K. Singh, and R. S. Anand. "Design of Quadrature Mirror Filter bank using constrained optimisation." International Journal of Signal and Imaging Systems Engineering 2, no. 3 (2009): 126. http://dx.doi.org/10.1504/ijsise.2009.034041.

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6

Pachauri, Rahul, Rajiv Saxena, and Sanjeev N. Sharma. "Studies on Z-Window Based FIR Filters." ISRN Signal Processing 2013 (September 1, 2013): 1–8. http://dx.doi.org/10.1155/2013/148646.

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As per classification of the window functions, the Z-windows are grouped in the category of steerable side-lobe dip (SSLD) windows. In this work, the application of these windows for the design of FIR filters with improved filter parameters has been explored. The numbers of dips with their respective positions in the side-lobe region have been compositely used to tailor the window shape. Filter design relationships have been established and included in this paper. Simultaneously, an application of these Z-window based FIR filters in designing two-channel quadrature mirror filter (QMF) bank has

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7

Baicher, Gurvinder. "Real-time Implementation of a Class of Optimised Multirate Quadrature Mirror Filter Bank Using Genetic Algorithms." JUCS - Journal of Universal Computer Science 18, no. (13) (2012): 1871–87. https://doi.org/10.3217/jucs-018-13-1871.

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This paper considers theoretical issues concerning reconstruction errors and conditions for perfect reconstruction (PR) of the input signal for a 2-channel multirate quadrature mirror filter (QMF) bank. The main emphasis is on the optimisation of a new design of a perfect reconstruction QMF bank using infinite impulse response (IIR) filters based on transformation of variables technique. The genetic algorithm (GA) optimisation is used for the initial design of the QMF bank and for the IIR filters using finite word length coefficients. The optimised results are then applied to a real time digit

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8

Jaw, S. B., and S. C. Pei. "Two-band IIR quadrature mirror filter design." Electronics Letters 26, no. 20 (1990): 1687. http://dx.doi.org/10.1049/el:19901079.

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9

Singh, Hitendra, Atul Kumar Dwivedi, and Deepak Nagaria. "Quadrature mirror filter bank design based on hybrid bee colony technique." Automatika 62, no. 2 (2021): 264–74. http://dx.doi.org/10.1080/00051144.2021.1933362.

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10

Kumar, A., S. M. Rafi, and G. K. Singh. "A hybrid method for designing linear-phase quadrature mirror filter bank." Digital Signal Processing 22, no. 3 (2012): 453–62. http://dx.doi.org/10.1016/j.dsp.2012.02.001.

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11

Agrawal, S. K., and O. P. Sahu. "Polyphase Structure Based Eigen Design of Two-Channel Quadrature Mirror Filter Bank." International Journal of Image, Graphics and Signal Processing 6, no. 10 (2014): 29–35. http://dx.doi.org/10.5815/ijigsp.2014.10.04.

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12

Dhabal, Supriya, and Palaniandavar Venkateswaran. "Passive congregation-based particle swarm optimisation for designing quadrature mirror filter bank." International Journal of Signal and Imaging Systems Engineering 9, no. 6 (2016): 357. http://dx.doi.org/10.1504/ijsise.2016.080269.

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13

Dhabal, Supriya, and Palaniandavar Venkateswaran. "Passive congregation-based particle swarm optimisation for designing quadrature mirror filter bank." International Journal of Signal and Imaging Systems Engineering 9, no. 6 (2016): 357. http://dx.doi.org/10.1504/ijsise.2016.10000772.

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14

Upendar, J., C. P. Gupta, and G. K. Singh. "Design of two-channel quadrature mirror filter bank using particle swarm optimization." Digital Signal Processing 20, no. 2 (2010): 304–13. http://dx.doi.org/10.1016/j.dsp.2009.06.014.

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15

Vaidyanathan, P. "Quadrature mirror filter banks, M-band extensions and perfect-reconstruction techniques." IEEE ASSP Magazine 4, no. 3 (1987): 4–20. http://dx.doi.org/10.1109/massp.1987.1165589.

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16

Kurosawa, Kaoru, and Yoichi Fujita. "Nonuniform perfect-reconstruction systems for quadrature mirror filter banks." Electronics and Communications in Japan (Part III: Fundamental Electronic Science) 75, no. 10 (1992): 1–12. http://dx.doi.org/10.1002/ecjc.4430751001.

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17

Wang, Hao, Chenzi Zhao, Zhijin Zhao, and Yi Huang. "Iterative technique for optimizing two-channel: Quadrature mirror, bi-orthogonal and graph filter bank." Signal Processing 169 (April 2020): 107405. http://dx.doi.org/10.1016/j.sigpro.2019.107405.

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18

Kumar, A., R. Pooja, and G. K. Singh. "Performance of different window functions for designing quadrature mirror filter bank using closed form method." International Journal of Signal and Imaging Systems Engineering 8, no. 6 (2015): 367. http://dx.doi.org/10.1504/ijsise.2015.072926.

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19

Baderia, Kuldeep, Anil Kumar, and Girish Kumar Singh. "Design of quadrature mirror filter bank using polyphase components based on optimal fractional derivative constraints." AEU - International Journal of Electronics and Communications 69, no. 9 (2015): 1254–64. http://dx.doi.org/10.1016/j.aeue.2015.05.006.

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20

Kuldeep, B., A. Kumar, and G. K. Singh. "Design of quadrature mirror filter bank using Lagrange multiplier method based on fractional derivative constraints." Engineering Science and Technology, an International Journal 18, no. 2 (2015): 235–43. http://dx.doi.org/10.1016/j.jestch.2014.12.005.

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21

Luhach, Ravindra, Chandra K. Jha, and Ashish K. Luhach. "Performance Analysis of QMF Filter Bank For Wireless Voip in Pervasive Environment." Recent Patents on Computer Science 12, no. 4 (2019): 349–53. http://dx.doi.org/10.2174/2213275911666181018101737.

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Background: Voice over Internet Protocol (VoIP) has emerged as one of the most significant technology in the field of communication and evolved as a substitute to the conventional communication method as the Public Switched Telephone Network (PSTN). Along with the advantages such as scalability and security, VoIP has some threats such as voice quality and interference that must be dealt with. The voice quality in VoIP is degraded when transmitted over a computer network due to delay, jitter and packet loss etc. Packet loss is one of major reasons for the signal quality degradation. Objective:

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22

Swaminathan, K., and P. Vaidyanathan. "Theory and design of uniform DFT, parallel, quadrature mirror filter banks." IEEE Transactions on Circuits and Systems 33, no. 12 (1986): 1170–91. http://dx.doi.org/10.1109/tcs.1986.1085876.

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23

Xiang Wei, M. J. Shaw, and M. R. Varley. "Efficient implementation of Koilpillai-Vaidyanathan pseudo quadrature mirror filter (PQMF) banks." IEEE Transactions on Signal Processing 44, no. 12 (1996): 3135–38. http://dx.doi.org/10.1109/78.553487.

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24

Sahu, O. P., M. K. Soni, and I. M. Talwar. "Marquardt optimization method to design two-channel quadrature mirror filter banks." Digital Signal Processing 16, no. 6 (2006): 870–79. http://dx.doi.org/10.1016/j.dsp.2005.11.002.

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25

Jou, Yue-Dar, Zhan-Pei Lin, and Fu-Kun Chen. "Neural network-based design of 2-channel quadrature mirror filter banks." International Journal of Circuit Theory and Applications 46, no. 12 (2018): 2349–63. http://dx.doi.org/10.1002/cta.2558.

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26

heen, Sha, and Ankita Gupta. "Review Article on Designing of Pseudo Quadratue Mirror Filter Bank." IOSR Journal of Electronics and Communication Engineering 9, no. 3 (2014): 51–55. http://dx.doi.org/10.9790/2834-09365155.

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27

C, Lavanya, and Bharati V Kalghatgi. "Comparison of Multirate two-channel Quadrature Mirror Filter Bank with FIR Filters Based Multiband Dynamic Range Control for audio." IOSR Journal of Electronics and Communication Engineering 9, no. 3 (2014): 19–24. http://dx.doi.org/10.9790/2834-09341924.

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28

Yu, Ya Jun, and Yong Ching Lim. "A Novel Genetic Algorithm for the Design of a Signed Power-of-Two Coefficient Quadrature Mirror Filter Lattice Filter Bank." Circuits, Systems & Signal Processing 21, no. 3 (2002): 263–76. http://dx.doi.org/10.1007/s00034-004-7043-z.

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29

Chandran, S. "Scheme for subband adaptive beamforming array implementation using quadrature mirror filter banks." Electronics Letters 39, no. 12 (2003): 891. http://dx.doi.org/10.1049/el:20030579.

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30

Hua Xu, Wu-Sheng Lu, and A. Antoniou. "Improved iterative methods for the design of quadrature mirror-image filter banks." IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing 43, no. 5 (1996): 363–71. http://dx.doi.org/10.1109/82.494386.

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31

Agrawal, S. K., and O. P. Sahu. "Artificial bee colony algorithm to design two-channel quadrature mirror filter banks." Swarm and Evolutionary Computation 21 (April 2015): 24–31. http://dx.doi.org/10.1016/j.swevo.2014.12.001.

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32

Kumar, A., G. K. Singh, and R. S. Anand. "An Improved Method for Designing Quadrature Mirror Filter Banks via Unconstrained Optimization." Journal of Mathematical Modelling and Algorithms 9, no. 1 (2010): 99–111. http://dx.doi.org/10.1007/s10852-009-9122-4.

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33

Jou, Yue‐Dar, Zhan‐Pei Lin, and Fu‐Kun Chen. "Low‐complexity design framework of all‐pass filters with application in quadrature mirror filter banks design." IET Signal Processing 11, no. 3 (2017): 239–49. http://dx.doi.org/10.1049/iet-spr.2016.0213.

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34

Kumar, A., B. Kuldeep, and Rajesh K. Panday. "An Efficient Constrained Optimisation Method for Designing Two-Channel Quadrature Mirror Filter Banks." Indian Journal of Industrial and Applied Mathematics 4, no. 1a (2013): 81. http://dx.doi.org/10.5958/j.1945-919x.4.1a.008.

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35

Kumar, A., G. K. Singh, and R. S. Anand. "A simple method for designing quadrature mirror filter banks via quadratic constrained optimisation." International Journal of Mathematical Modelling and Numerical Optimisation 1, no. 4 (2010): 274. http://dx.doi.org/10.1504/ijmmno.2010.035426.

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36

Hua Xu, Wu-Sheng Lu, and A. Antoniou. "An improved method for the design of FIR quadrature mirror-image filter banks." IEEE Transactions on Signal Processing 46, no. 5 (1998): 1275–81. http://dx.doi.org/10.1109/78.668791.

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37

Chee-Kiang Coh and Yong Ching Lim. "An efficient algorithm to design weighted minimax perfect reconstruction quadrature mirror filter banks." IEEE Transactions on Signal Processing 47, no. 12 (1999): 3303–14. http://dx.doi.org/10.1109/78.806074.

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38

Wu-Sheng Lu, Hua Xu, and A. Antoniou. "A new method for the design of FIR quadrature mirror-image filter banks." IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing 45, no. 7 (1998): 922–26. http://dx.doi.org/10.1109/82.700947.

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39

Kumar, Anil, G. K. Singh, and R. S. Anand. "A closed form design method for the two-channel quadrature mirror filter banks." Signal, Image and Video Processing 5, no. 1 (2009): 121–31. http://dx.doi.org/10.1007/s11760-009-0147-y.

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40

Chen, Li-Woei, Yue-Dar Jou, and Shu-Sheng Hao. "Design of Two-Channel Quadrature Mirror Filter Banks Using Minor Component Analysis Algorithm." Circuits, Systems, and Signal Processing 34, no. 5 (2014): 1549–69. http://dx.doi.org/10.1007/s00034-014-9914-2.

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41

Kumar, Aman, and Ramesh K. Sunkaria. "Two-channel perfect reconstruction (PR) quadrature mirror filter (QMF) bank design using logarithmic window function and spline function." Signal, Image and Video Processing 10, no. 8 (2016): 1473–80. http://dx.doi.org/10.1007/s11760-016-0958-6.

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42

Noureddine, Aloui, Mohamed Boussif, and Cherif Adnane. "A Modified Ultraspherical Window and Its Application for Speech Enhancement." Traitement du Signal 39, no. 1 (2022): 79–86. http://dx.doi.org/10.18280/ts.390108.

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In this paper an improved ultraspherical window is developed for designing quadrature mirror filters banks (QMF) with the help of a real coded genetic algorithm (RCGA). In fact, the ultraspherical window is modified by adding a parameter (α) which to improve the spectral parameters. Then, RCGA is used to find optimal values of the adjustment parameters, the side-lobes ratio of ultraspherical window and the cut-off frequency of the low-pass prototype filter. This latter, is used to derive all the filters of QMF banks. When the developed QMF banks are exploited for speech enhancement algorithm b

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43

Bak, Taejun, Junmo Lee, Hanbin Bae, Jinhyeok Yang, Jae-Sung Bae, and Young-Sun Joo. "Avocodo: Generative Adversarial Network for Artifact-Free Vocoder." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 11 (2023): 12562–70. http://dx.doi.org/10.1609/aaai.v37i11.26479.

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Neural vocoders based on the generative adversarial neural network (GAN) have been widely used due to their fast inference speed and lightweight networks while generating high-quality speech waveforms. Since the perceptually important speech components are primarily concentrated in the low-frequency bands, most GAN-based vocoders perform multi-scale analysis that evaluates downsampled speech waveforms. This multi-scale analysis helps the generator improve speech intelligibility. However, in preliminary experiments, we discovered that the multi-scale analysis which focuses on the low-frequency

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44

Jou, Yue-Dar. "Design of two-channel linear-phase quadrature mirror filter banks based on neural networks." Signal Processing 87, no. 5 (2007): 1031–44. http://dx.doi.org/10.1016/j.sigpro.2006.09.011.

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45

Chandran, Sathish. "A novel hardware configuration for an adaptive beamforming array using quadrature mirror filter banks." Microwave and Optical Technology Letters 21, no. 2 (1999): 140–45. http://dx.doi.org/10.1002/(sici)1098-2760(19990420)21:2<140::aid-mop15>3.0.co;2-2.

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46

Kumar, A., G. K. Singh, and R. S. Anand. "An improved method for the design of quadrature mirror filter banks using the Levenberg–Marquardt optimization." Signal, Image and Video Processing 7, no. 2 (2011): 209–20. http://dx.doi.org/10.1007/s11760-011-0209-9.

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47

S. K, Agrawal, and Sahu O. P. "Design of Alias-Free Linear Phase Quadrature Mirror Filter Banks using Eigen value-Eigen vector Approach." Electrical and Electronics Engineering: An International Journal 3, no. 2 (2014): 111–20. http://dx.doi.org/10.14810/elelij.2014.3209.

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48

Ghosh, Pradipta, Swagatam Das, and Hamim Zafar. "Adaptive-Differential-Evolution-Based Design of Two-Channel Quadrature Mirror Filter Banks for Sub-Band Coding and Data Transmission." IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) 42, no. 6 (2012): 1613–23. http://dx.doi.org/10.1109/tsmcc.2012.2212007.

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49

Yang, Ye, Jiang Wu, Hao Wu, and Yu Wang. "Research on onboard multistage digital demultiplexer for satellite communication based on MF-TDMA system." Journal of Physics: Conference Series 2524, no. 1 (2023): 012007. http://dx.doi.org/10.1088/1742-6596/2524/1/012007.

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Abstract A new multicarrier multi-rate digital demultiplexer system structure based on MF-TDMA(Multi-Frequency Time Division Multiple Access) in a wideband satellite communication system is described. Compared with the traditional tree multicarrier demultiplexer method, the new structure uses a half-band filter instead of the quadrature mirror filter, which has three advantages: 1) It fully avoids the shortcomings of the traditional method, such as confusion distortion and amplitude distortion. 2) The computation to achieve filtering is reduced by nearly half. 3) It effectively improves the de

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50

Abid Noor, Ali O. "Robust speaker verification in band-localized noise conditions." Indonesian Journal of Electrical Engineering and Computer Science 13, no. 2 (2019): 499. http://dx.doi.org/10.11591/ijeecs.v13.i2.pp499-506.

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This research paper presents a robust method for speaker verification in noisy environments. The noise is assumed to contaminate certain parts of the voice’s frequency spectrum. Therefore, the verification method is based on splitting the noisy speech into subsidiary bands then using a threshold to sense the existence of noise in a specific part of the spectrum, hence activating an adaptive filter in that part to track changes in noise’s characteristics and remove it. The decomposition is achieved using low complexity quadrature mirror filters QMF in three levels thus achieving four bands in a

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