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Journal articles on the topic 'Multirate filter bank'

Author: Grafiati

Published: 4 June 2025

Last updated: 15 July 2025

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1

Nalbalwar, S. L., and S. D. Joshi. "Equivalence between multirate filter bank and circular lattice filter and its application in statistically matched multirate filter bank." International Journal of Speech Technology 22, no. 2 (2019): 351–70. http://dx.doi.org/10.1007/s10772-019-09609-6.

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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. Application in the area of subband coding and future research trends are also discussed.

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3

Vaidya, Kirti Samir, C. G. Dethe, and S. G. Akojwar. "Design of a Power-Efficient Low Complexity Non Maximally Coefficient Symmetry Multi Rate Filter Bank for Wideband Channelization." International Journal of Circuits, Systems and Signal Processing 15 (August 6, 2021): 883–94. http://dx.doi.org/10.46300/9106.2021.15.95.

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A solution for existing and upcoming wireless communication standards is a software-defined radio (SDR) that extracts the desired radio channel. Channelizer is supposed to be the computationally complex part of SDR. In multi-standard wireless communication, the Software Radio Channelizer is often used to extract individual channels from a wideband input signal. Despite the effective channelizer design that reduces computing complexity, delay and power consumption remain a problem. Thus, to promote the effectiveness of the channelizer, we have provided the Non-Maximally Coefficient Symmetry Multirate Filter Bank. In this paper, to improve the hardware efficiency and functionality of the proposed schemes, we propose a polyphase decomposition and coefficient symmetry incorporated into the Non-Maximally Coefficient Symmetry Multirate Filter Bank. For sharp wideband channelizers, the proposed methods are suitable. Furthermore, polyphase decomposition filter and coefficient symmetry is incorporated into the Non-Maximally Coefficient Symmetry Multirate Filter Bank to improve the hardware efficiency, power efficient, flexibility, reduce hardware size and functionality of the proposed methods. To prove the complexity enhancement of the proposed system, the design to be the communication standard for complexity comparison.

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4

Vaidya, Kirti Samir, C. G. Dethe, and S. G. Akojwar. "Low Complexity Non Maximally Coefficient Symmetry Multi Rate Filter Bank for Wideband Channelization." WSEAS TRANSACTIONS ON CIRCUITS AND SYSTEMS 20 (May 27, 2021): 57–65. http://dx.doi.org/10.37394/23201.2021.20.7.

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For extracting the individual channels from input signal of wideband, Software Radio Channelizer was often used on multi-standard wireless communication. Despite the effective channelizer design that decreases the complexity of computational, delay and power consumption is challenging. Thus, to promote the effectiveness of the channelizer, we have provided the Non-Maximally Coefficient Symmetry Multirate Filter Bank. For this, a sharp wideband channelizer is designed to be using the latest class of masking responses with Non-maximally Decimated Polyphase Filter. Moreover, coefficient symmetry is incorporated into the Non-Maximally Coefficient Symmetry Multirate Filter Bank to improve the hardware efficiency and functionality of the proposed schemes. To prove the complexity enhancement of the proposed system, the design is analyzed with communication standard with existing methods.

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5

Moreno, L., J. Estévez, J. Sánchez, et al. "A Collection of Practical Experiments in Multirate Digital Signal Processing and Filter Bank Theory." International Journal of Electrical Engineering & Education 34, no. 4 (1997): 338–63. http://dx.doi.org/10.1177/002072099703400406.

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A collection of practical experiments in the area of multirate digital signal processing and filter banks is described. The systems are implemented using a block oriented simulation tool together with specific software. The attention is focused on the benefits that simulation gives in understanding the main topics related with the multirate designs.

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6

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 digital signal processing kit. Finally, some test results for data compression achievable using different values of encoded bits are included.

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7

Kang, A. S., Er Vishal Sharma, and Prof Renu Vig. "Performance analysis of CIC multirate filter in cognitive radio for efficient pulse shaping in wireless domain." International Journal of Informatics and Communication Technology (IJ-ICT) 8, no. 3 (2019): 184. http://dx.doi.org/10.11591/ijict.v8i3.pp184-190.

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<span>In this paper, the Performance Analysis of Cascade Integrator Comb Filter in context of Filter Bank Multicarrier Transmission has been presented for Cognitive radio. A benefit of the chosen technique is that, a CIC filter can be designed with a slight adjustment in parameters of interest. The entire performance of the filters designed is analyzed and evaluated by analyzing Normalized Amplitude versus Normalized Frequency plots at typical K and N values. The roll off factor plays a significant role in performance analysis of CIC filter. The results shown are a useful advance for rf design engineers working in the domain of multirate signal processing in wireless communication. To ensure the acceptable performance of Enhanced FBMC, computational complexity, and transmission burst length need to be reduced. The effect of Stop band attenuation on the edges of Magnitude and Frequency responses has been studied under constraints such as Lp, K and M during different simulation runs</span>.

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8

A., S. Kang, Sharma Vishal, and Vig Renu. "Performance analysis of CIC multirate filter in cognitive radio for efficient pulse shaping in wireless domain." International Journal of Informatics and Communication Technology (IJ-ICT) 8, no. 3 (2019): 184–90. https://doi.org/10.11591/ijict.v8i3.pp184-190.

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In this paper, the Performance Analysis of Cascade Integrator Comb Filter in context of Filter Bank Multicarrier Transmission has been presented for Cognitive radio. A benefit of the chosen technique is that, a CIC filter can be designed with a slight adjustment in parameters of interest. The entire performance of the filters designed is analyzed and evaluated by analyzing Normalized Amplitude versus Normalized Frequency plots at typical K and N values. The roll off factor plays a significant role in performance analysis of CIC filter. The results shown are a useful advance for rf design engineers working in the domain of multirate signal processing in wireless communication. To ensure the acceptable performance of Enhanced FBMC, computational complexity, and transmission burst length need to be reduced. The effect of Stop band attenuation on the edges of Magnitude and Frequency responses has been studied under constraints such as Lp, K and M during different simulation runs.

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9

Blu, Thierry, Laurent Duval, Truong Q. Nguyen, and Jean-Christophe Pesquet. "Advances in multirate filter bank structures and multiscale representations." Signal Processing 91, no. 12 (2011): 2697–98. http://dx.doi.org/10.1016/j.sigpro.2011.07.006.

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10

Patel, Sandeep, Ravindra Dhuli, and Brejesh Lall. "Design and analysis of matrix Wiener synthesis filter for multirate filter bank." Signal Processing 102 (September 2014): 256–64. http://dx.doi.org/10.1016/j.sigpro.2014.03.021.

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11

Nalbalwar, S. L., S. D. Joshi, and R. K. Patney. "Novel Approach to Signal Matched Two Channel Multirate Filter Bank Using Nyquist Filter." International Journal of Modelling and Simulation 29, no. 3 (2009): 293–98. http://dx.doi.org/10.1080/02286203.2009.11442536.

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12

Rafi, S. M., A. Kumar, and G. K. Singh. "An improved particle swarm optimization method for multirate filter bank design." Journal of the Franklin Institute 350, no. 4 (2013): 757–69. http://dx.doi.org/10.1016/j.jfranklin.2013.01.006.

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13

Logoglu, Ahmet, Serdar Kockanat, and Nurhan Karaboga. "A Novel Approach for Polyphase Filter Bank Design Using ABC Algorithm." Elektronika ir Elektrotechnika 28, no. 6 (2022): 27–34. http://dx.doi.org/10.5755/j02.eie.31234.

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Polyphase filter banks (PFBs) are the most preferred multirate structures for subband coding in Digital Signal Processing (DSP) and communication. For PFB design, there are many important design parameters such as filter length and frequency selectivity. Also, to realize the desired frequency response in designs, stopband and passband attenuation are of considerable importance. In PFB design, researchers and practitioners frequently use iterative and meta-heuristic optimization methods. Heuristic techniques have a significant problem-solving ability in continuous and discrete solution space. Therefore, they give better results than other suggested methods, and their performance depends on the control parameters. In this study, Artificial Bee Colony (ABC) algorithm was employed for suggested design problem of PFB. In the first stage, the control parameters of the ABC algorithm were examined to improve the performance of the proposed PFB problem. In the second stage, the analysis was carried out by changing filter lengths (8-256) and filter band frequencies (0.3-0.7/0.4-0.6). All results obtained were also compared with the Particle Swarm Optimization algorithm (PSO) and the Genetic algorithm (GA). Finally, a DSP application of PFB was carried out according to best results achieved by the ABC algorithm for filter lengths and frequencies.

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14

Matsuda, Takahiro, Shinsuke Hara, and Norihiko Morinaga. "Joint receiver for DS-CDMA/TDMA signals using complex multirate filter bank." Electronics and Communications in Japan (Part I: Communications) 82, no. 5 (1999): 34–41. http://dx.doi.org/10.1002/(sici)1520-6424(199905)82:5<34::aid-ecja4>3.0.co;2-z.

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15

Duan, Zhisheng, Jingxin Zhang, Cishen Zhang, and Edoardo Mosca. "A simple design method of reduced-order filters and its applications to multirate filter bank design." Signal Processing 86, no. 5 (2006): 1061–75. http://dx.doi.org/10.1016/j.sigpro.2005.07.029.

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16

Re, Marco, Andrea Del Re, and Gian Carlo Cardarilli. "Efficient Implementation of a Demultiplexer Based on a Multirate Filter Bank for the Skyplex Satellites DVB System." VLSI Design 15, no. 1 (2002): 427–40. http://dx.doi.org/10.1080/1065514021000012048.

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In this paper, an extensive comparison among alternative algorithms for the implementation of a digital demultiplexer has been carried out. The computational complexity, the performances and the accuracy with respect to the quantization effects (quantization noise and coefficient quantization) have been evaluated for the different algorithms. The selected digital architecture has been designed to be compliant with the Eutelsat specifications for the Skyplex Digital Video Broadcast (DVB) television system (Re, M., Cardarilli, G.C., Del Re, A. and Lojacono R. (2000) “FPGA Implementation of a Demux based on a multirate filter bank”. International Symposium on Circuits and Systems 2000, 5 (May), 353–356). At present, a more expensive and complex analog structure, based on six Surface Acoustic Wave (SAW) filters, is used. The new digital architecture has been mapped on six Altera Flex 10K-100 devices. The final test bed, that includes a complete interface to the demodulator, has been implemented on a four-layers PCB.

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17

Bor-Sen Chen, Chin-Wei Lin, and You-Li Chen. "Optimal signal reconstruction in noisy filter bank systems: multirate Kalman synthesis filtering approach." IEEE Transactions on Signal Processing 43, no. 11 (1995): 2496–504. http://dx.doi.org/10.1109/78.482101.

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18

Matsuda, Takahiro, Shinsuke Hara, and Norihiko Morinaga. "Application of Multirate Filter Bank to Group Demodulation of Frequency-Multiplexed TDMA Signals." Electronics and Communications in Japan (Part I: Communications) 85, no. 4 (2002): 44–52. http://dx.doi.org/10.1002/ecja.1089.

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19

Liu, Chih-Wei, Chia-Kai Chan, Po-Hsiang Cheng, and Hsin-Yuan Lin. "FFT-Based Multirate Signal Processing for 18-Band Quasi-ANSI S1.11 1/3-Octave Filter Bank." IEEE Transactions on Circuits and Systems II: Express Briefs 66, no. 5 (2019): 878–82. http://dx.doi.org/10.1109/tcsii.2019.2909650.

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20

Vaidyanathan, P. P., and V. C. Liu. "Classical sampling theorems in the context of multirate and polyphase digital filter bank structures." IEEE Transactions on Acoustics, Speech, and Signal Processing 36, no. 9 (1988): 1480–95. http://dx.doi.org/10.1109/29.90376.

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21

Doganata, Z., P. P. Vaidyanathan, and T. Q. Nguyen. "General synthesis procedures for FIR lossless transfer matrices, for perfect-reconstruction multirate filter bank applications." IEEE Transactions on Acoustics, Speech, and Signal Processing 36, no. 10 (1988): 1561–74. http://dx.doi.org/10.1109/29.7544.

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22

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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23

Yang, Cheng-Yen, Chih-Wei Liu, and Shyh-Jye Jou. "A Systematic ANSI S1.11 Filter Bank Specification Relaxation and Its Efficient Multirate Architecture for Hearing-Aid Systems." IEEE/ACM Transactions on Audio, Speech, and Language Processing 24, no. 8 (2016): 1380–92. http://dx.doi.org/10.1109/taslp.2016.2556422.

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24

Hemanja, Ganekanti, K. Satya Prasad, and P. Venkata Subbaiah. "Highly Selective Digital Filter Bank through Linear Variation of Stopband Attenuation in Multirate Processing by Sample Modification Technique." International Journal of Image, Graphics and Signal Processing 5, no. 8 (2013): 9–21. http://dx.doi.org/10.5815/ijigsp.2013.08.02.

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25

Mintzer, F. "Filters for distortion-free two-band multirate filter banks." IEEE Transactions on Acoustics, Speech, and Signal Processing 33, no. 3 (1985): 626–30. http://dx.doi.org/10.1109/tassp.1985.1164587.

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26

Chen, T., and P. P. Vaidyanathan. "Multidimensional multirate filters and filter banks derived from one-dimensional filters." IEEE Transactions on Signal Processing 41, no. 5 (1993): 1749–65. http://dx.doi.org/10.1109/78.215297.

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27

Al-Haj, Ali. "Configurable Multirate Filter Banks." American Journal of Applied Sciences 5, no. 7 (2008): 788–97. http://dx.doi.org/10.3844/ajassp.2008.788.797.

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28

Siswanto, Antonius, Cheng-Yuan Chang, and Sen M. Kuo. "Multirate Audio-Integrated Feedback Active Noise Control Systems Using Decimated-Band Adaptive Filters for Reducing Narrowband Noises." Sensors 20, no. 22 (2020): 6693. http://dx.doi.org/10.3390/s20226693.

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Audio-integrated feedback active noise control (AFANC) systems deliver wideband audio signals and cancel low frequency narrowband noises simultaneously. The conventional AFANC system uses single-rate processing with fullband adaptive active noise control (ANC) filter for generating anti-noise signal and fullband audio cancelation filter for audio-interference cancelation. The conventional system requires a high sampling rate for audio processing. Thus, the fullband adaptive filters require long filter lengths, resulting in high computational complexity and impracticality in real-time system. This paper proposes a multirate AFANC system using decimated-band adaptive filters (DAFs) to decrease the required filter lengths. The decimated-band adaptive ANC filter is updated by the proposed decimated filtered-X least mean square (FXLMS) algorithm, and the decimated-band audio cancelation filter can be obtained by the proposed on-line and off-line decimated secondary-path modeling algorithms. The computational complexity can be decreased significantly in the proposed AFANC system with good enough noise reduction and fast convergence speed, which were verified in the analysis and computer simulations. The proposed AFANC system was implemented for an active headrest system, and the real-time performances were tested in real-time experiments.

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29

Vaidyanathan, P. P. "Multirate digital filters, filter banks, polyphase networks, and applications: a tutorial." Proceedings of the IEEE 78, no. 1 (1990): 56–93. http://dx.doi.org/10.1109/5.52200.

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30

Srivastava, Ajeet Kumar, and Krishna Raj. "DESIGN OF AN OPTIMIZED CIC COMPENSATION FILTER USING A FIR FILTER BASED ON CSD GROUPING." ICTACT Journal on Microelectronics 8, no. 4 (2023): 1455–61. https://doi.org/10.21917/ijme.2023.0251.

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In high-speed signal processing, the multirate transformation is a widely used method for decimation and interpolation. The comb-based decimation filters with low complexity and strong alias rejection are preferably used in wireless applications. A linear phase FIR filter namely a cascaded-integrator-comb (CIC) filter can be used as a decimation filter. Since this filter doesn't contain a multiplier, it occupies less area and has a higher speed than other decimation filters. In digital systems, the redundant number system is frequently used to enhance the computational efficiency, which can then be further improved by an architectural change made at the circuit level. However, the frequency characteristics are also optimized by reducing the passband droop and increasing attenuation in the folding band using a compensation FIR filter. In this paper, a design of a CIC filter by using a signed digit (SD) number system-based compensation filter has been proposed and analyzed. The analysis of delay and hardware requirements in filter operation was performed. The results show improvements in average operating frequency and a reduction in LUTs of 12.32% and 15.65%, respectively, in comparison to other techniques. Further, the analysis of frequency characteristics of the proposed filter design shows that the average passband droop is reduced by 24.60% and attenuation in the folding band is increased by 22.01% in comparison to binary based filter structures.

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31

Xiang-Gen Xia and B. W. Suter. "Multirate filter banks with block sampling." IEEE Transactions on Signal Processing 44, no. 3 (1996): 484–96. http://dx.doi.org/10.1109/78.489022.

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32

Vetterli, M. "A theory of multirate filter banks." IEEE Transactions on Acoustics, Speech, and Signal Processing 35, no. 3 (1987): 356–72. http://dx.doi.org/10.1109/tassp.1987.1165137.

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33

Arunkumar, S., and P. Ganesh Kumar. "Performance and Analysis of Transmultiplexers Using Decimator and Interpolator." Journal of Circuits, Systems and Computers 28, no. 01 (2018): 1950009. http://dx.doi.org/10.1142/s0218126619500099.

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This paper deals with the smart applications of multirate digital signal processing. The two major operations are accomplished in consumer electronics and communication engineering. The process of reducing the sampling frequency of a sampled signal is called decimation. In the usage of decimating filters, only a portion of the out-of-pass band frequencies aliases into the pass band, in systems wherein different parts operate at different sample rates. A filter design, tuned to the aliasing frequencies all of which can otherwise stealth into the pass band, not only provides multiple stop bands but also exhibits computational efficiency and performance superiority over the single stop band design. The proposed method of transmultiplexer using decimation and interpolation filters analysis procedure is not only efficient but also opens up a new vista of being simple and elegant to compute for the desired over and above transmultiplexer.

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34

Kok, C. W., and T. Q. Nguyen. "Multirate filter banks and transform coding gain." IEEE Transactions on Signal Processing 46, no. 7 (1998): 2041–44. http://dx.doi.org/10.1109/78.700978.

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35

Huang Shu, Tongwen Chen, and B. A. Francis. "Minimax design of hybrid multirate filter banks." IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing 44, no. 2 (1997): 120–28. http://dx.doi.org/10.1109/82.554442.

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36

Karlsson, G., and M. Vetterli. "Theory of two-dimensional multirate filter banks." IEEE Transactions on Acoustics, Speech, and Signal Processing 38, no. 6 (1990): 925–37. http://dx.doi.org/10.1109/29.56054.

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37

Mehr, Aryan Saadat, and Tongwen Chen. "Optimal design of nonuniform multirate filter banks." Circuits, Systems, and Signal Processing 18, no. 5 (1999): 505–21. http://dx.doi.org/10.1007/bf01387469.

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38

Prendergast, R. S., B. C. Levy, and P. J. Hurst. "Reconstruction of Band-Limited Periodic Nonuniformly Sampled Signals Through Multirate Filter Banks." IEEE Transactions on Circuits and Systems I: Regular Papers 51, no. 8 (2004): 1612–22. http://dx.doi.org/10.1109/tcsi.2004.832781.

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39

Brislawn, Christopher M. "Group Lifting Structures for Multirate Filter Banks II: Linear Phase Filter Banks." IEEE Transactions on Signal Processing 58, no. 4 (2010): 2078–87. http://dx.doi.org/10.1109/tsp.2009.2039818.

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40

Wada, S. "Design of nonuniform division multirate FIR filter banks." IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing 42, no. 2 (1995): 115–21. http://dx.doi.org/10.1109/82.365350.

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41

Al-Adnani, A., R. Chapman, and T. S. Durrani. "Time-domain design of FIR multirate filter banks." Electronics Letters 29, no. 9 (1993): 752. http://dx.doi.org/10.1049/el:19930504.

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42

ABOUL-HOSN, R., and S. M. BOZIC. "Multirate techniques in narrow band FIR filters." International Journal of Electronics 71, no. 6 (1991): 939–49. http://dx.doi.org/10.1080/00207219108925536.

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43

Kofidis, E., S. Theodoridis, and N. Kalouptsidis. "On the perfect reconstruction problem in N-band multirate maximally decimated FIR filter banks." IEEE Transactions on Signal Processing 44, no. 10 (1996): 2439–55. http://dx.doi.org/10.1109/78.539029.

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44

Chen, T., and A. Saadat Mehr. "Design of nonuniform multirate filter banks by semidefinite programming." IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing 47, no. 11 (2000): 1311–14. http://dx.doi.org/10.1109/82.885139.

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45

Tongwen Chen та B. A. Francis. "Design of multirate filter banks by ℋ/sub ∞/ optimization". IEEE Transactions on Signal Processing 43, № 12 (1995): 2822–30. http://dx.doi.org/10.1109/78.476426.

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46

Brislawn, Christopher M. "Group-Theoretic Structure of Linear Phase Multirate Filter Banks." IEEE Transactions on Information Theory 59, no. 9 (2013): 5842–59. http://dx.doi.org/10.1109/tit.2013.2259292.

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47

Vetterli, M. "Running FIR and IIR filtering using multirate filter banks." IEEE Transactions on Acoustics, Speech, and Signal Processing 36, no. 5 (1988): 730–38. http://dx.doi.org/10.1109/29.1582.

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48

Bamberger, R. H., S. L. Eddins, and V. Nuri. "Generalized symmetric extension for size-limited multirate filter banks." IEEE Transactions on Image Processing 3, no. 1 (1994): 82–87. http://dx.doi.org/10.1109/83.265983.

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49

Po-Cheng Wu, Liang-Gee Chen, and Tzi-Dar Chiueh. "Scalable implementation scheme for multirate FIR filters and its application in efficient design of subband filter banks." IEEE Transactions on Circuits and Systems for Video Technology 6, no. 4 (1996): 407–10. http://dx.doi.org/10.1109/76.510933.

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50

Vaidyanathan, P. P., and Tsuhan Chen. "Structures for anticausal inverses and application in multirate filter banks." IEEE Transactions on Signal Processing 46, no. 2 (1998): 507–14. http://dx.doi.org/10.1109/78.655436.

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