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Reseach Article
Design of Reconfigurable Nonuniform Digital Filter Banks based on Coefficient Decimation Method_Review
| Communications on Applied Electronics |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 5 - Number 4 |
| Year of Publication: 2016 |
| Authors: Ibtihaj H. Qadoori, Mahmood A. K. Abdulsattar |
10.5120/cae2016652279
|
Ibtihaj H. Qadoori, Mahmood A. K. Abdulsattar . Design of Reconfigurable Nonuniform Digital Filter Banks based on Coefficient Decimation Method_Review. Communications on Applied Electronics. 5, 4 ( Jun 2016), 23-30. DOI=10.5120/cae2016652279
Abstract
With the technologies of wireless communication like cognitive radio (CR), analysis filter banks (FBs) are used to adopt two crucial tasks; channelization followed by spectrum sensing. The channelizer is used to obtain separate channels from the wideband digital input signal at different intervals of time. The three main requirements in the channelizer are reconfigurability, low complexity and flexibility. The coefficient decimation technique for reconfigurable FIR filters was recently discussed as a filter structure with low computational complexity. In this brief, the most important types of FBs based on Coefficient Decimation Method (CDM) that used in a nonuniform channelization with comparison among them based on their multiplication complexities and their flexibilities, are discussed.
References
- P. P. Vaidyanathan, “Multirate digital filters, filter banks, polyphase networks, and applications: a tutorial”. Proceedings of the IEEE, Volume 78, No. 1, pp. 56-93, August 2002.
- A. Ambede, K. G. Smitha, et al., "A New Low Complexity Uniform Filter Bank Based on the Improved Coefficient Decimation Method", Circuits, Systems, and Signal Processing, Volume 32, No. 6, pp. 2543-2557, December 2013.
- J. Mitola and G. Q. Maguire, “Cognitive radio: Making software radios more personal”, IEEE Personal Communications, Volume 6, No.4 pp. 13-18, August 2002.
- S. Haykin, “Cognitive radio: Brain-empowered wireless communications”, IEEE J. Sel. Areas Commun., Volume 23, pp. 201-220, 2005.
- R. Mahesh and A. P. Vinod, “Coefficient decimation approach for realizing reconfigurable finite impulse response filters”, Circuits and Systems
- M. Lin, A. P. Vinod, et al., " Very Low Complexity Variable Resolution Filter Banks for Spectrum Sensing in Cognitive Radios Using Multi-Stage Coefficient Decimation", Wireless Communications, Networking and Mobile Computing, 5th International Conference on, pp. 1-4, 2009.
- R. Mahesh and A. P. Vinod" Reconfigurable Discrete Fourier Transform Filter Banks for Multi-Standard Channelizers" Signal Processing and Communications (SPCOM), pp. 1 – 5, July 2010.
- A. Ambede, K. G. Smitha, et al., “A modified coefficient decimation method to realize low complexity FIR filters with enhanced frequency response flexibility and passband resolution”, Telecommunications and Signal Processing (TSP), pp. 658 – 661, July 2012.
- A. Ambede, K. G. Smitha, et al., “An Improved Coefficient Decimation based Reconfigurable Low Complexity FIR Channel Filter for Cognitive radios” Communications and Information Technologies (ISCIT), pp. 22 – 27, October 2012.
- R. Mahesh and A. P. Vinod, “A low-complexity flexible spectrum-sensing scheme for mobile cognitive radio terminals,” IEEE Transactions on Circuits and Systems II, Volume 58, No.6, pp. 371-375, June 2011.
- Y. Lim, “Frequency-response masking approach for the synthesis of sharp linear phase digital filters”, IEEE Transactions on Circuits and Systems, Volume 33, No.4 pp. 357- 364, January 2003.
- R. Mahesh and A. P. Vinod, “Low complexity flexible filter banks for uniform and non-uniform channelisation in software radios using coefficient decimation” IET Circuits, Devices & Systems, Volume 5, No. 3, pp. 232–242, May 2011.
- A. Ambede, A. P. Vinod, et al., " Flexible Low Complexity Uniform and Nonuniform Digital Filter Banks With High Frequency Resolution for Multistandard Radios", IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Volume 23, No. 4, pp. 631 – 641, March 2015.
- M. Bellanger, G. Bonnerot, et al., “Digitel filtering by polyphase network: application to sample rate alteration and filter banks” IEEE Transactions on Acoustics, Speech, and Signal Processing, Volume 24, No. 2, pp. 109 – 114, January 2003.
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