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A Review of FIR Filter Designs

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Networking Communication and Data Knowledge Engineering

Abstract

Digital filters are commonly used as an essential element of Digital Signal Processing (DSP) System. Digital filter can be used for developing many designs, which are impractical or impossible in Analog filter. Digital filters may be more expensive than an equivalent analog filter due to their increased complexity. Finite Impulse Response (FIR) and Infinite Impulse Response (IIR) are the two types of digital filters; FIR filters are preferred over IIR filters due their properties like inherent stability and linear phase. In this paper various techniques for FIR filter has been described and analyzed various factors which effects the performance of FIR filter in communication system especially in multi-standard communication.

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References

  1. Mitra, S. K. (2006), Digital Signal Processing, New Delhi: Tata Mc-Graw-Hill.

    Google Scholar 

  2. Proakis, J. G. and Manolakis D. G. (2007), Digital Signal Processing: Principles, Algorithms and Applications, New Delhi: Prentice Hall of India.

    Google Scholar 

  3. Benvenuto, N., Franks L.E. and Hill F.S. (1984), “On the Design of FIR Filters with Powers-of-Two Coefficient”, IEEE Transactions on Communications, 32(12), pp. 1299–1307.

    Google Scholar 

  4. Lim Y. C. (1986), “Frequency Response Masking Approach for the Synthesis of Sharp Linear Phase Digital Filters”, IEEE Transactions on Circuits and Systems, 33(4), pp. 357–364.

    Google Scholar 

  5. Lim, Y. C. and Parker, S. R. (1983), “Discrete Coefficient FIR Digital Filter Design Based Upon an LMS Criteria,” IEEE Transactions on Circuits and Systems, CAS-30, pp. 723–739.

    Google Scholar 

  6. Lim, Y. C., Parker, S. R. and Constantinides, A. G. (1982), “Finite Wordlength FIR Filter Design Using Integer Programming Over a Discrete Coefficient Space,” IEEE Transactions Acoustic, Speech and Signal Processing, ASSP-30, pp. 661–664.

    Google Scholar 

  7. Lim, Y. C. and Parker, S. R. (1983), “FIR Filter Design Over a Discrete Powers-Of-Two Coefficient Space,” IEEE Transactions Acoustic, Speech and Signal Processing, ASSP-31, pp. 583–591.

    Google Scholar 

  8. Yang, R., Liu, B. and Lim, Y. C. (1988), “A New Structure of Sharp Transition FIR Filters using Frequency Response Masking”, IEEE Transactions on Circuits and Systems II: Express Briefs, 35(8), pp. 955–966.

    Google Scholar 

  9. Lim, Y. C. and Lian, Y. (1994), “Frequency-Response Masking Approach for Digital Filter Design: Complexity Reduction via Masking Filter Factorization”, IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, 41(8), pp. 518–525.

    Google Scholar 

  10. Saramaki, T. and Mitra, S. K. (1988), “Design of Computationally Efficient Interpolated FIR Filters”, IEEE Transactions on Circuits and Systems, 35(1), pp. 70–88.

    Google Scholar 

  11. Jing, Z. and Fam, A. T. (1984), “A New Structure for Narrow Transition Band, Lowpass Digital Filter Design” IEEE Transactions Acoustic, Speech and Signal Processing, ASSP-32, pp, 362–370.

    Google Scholar 

  12. Samueli, H. (1989), “An Improved Search Algorithm for the Design of Multiplier-less FIR Filters with Powers-of-Two Coefficients”, IEEE Transactions on Circuits and Systems, 36(7), pp. 1044–1047.

    Google Scholar 

  13. Saramaki, T., Neuvo, Y. and Mitra, S. K. (1988), “Design of Computationally Efficient Interpolated FIR Filters,” IEEE Transactions Acoustic, Speech and Signal Processing, 35, pp. 70–88.

    Google Scholar 

  14. Adams, J. W. and Willson, A. N. (1984), “Some Efficient Digital Prefilter Structures,” IEEE Transactions on Circuits and Systems, CAS-31, pp. 260–265.

    Google Scholar 

  15. Zarour, R. and Fahmy, M. M. (1989), “A Design Technique for Variable Digital Filters”, IEEE Transactions on Circuits and Systems, 36(11), pp. 1473–1478.

    Google Scholar 

  16. Mehendale M., Sherlekar, S.D. and Venkatesh, G. (1995), “Coefficient Optimization for Low Power Realization of FIR Filters”, IEEE Workshop on VLSI Signal Processing, Japan, pp. 352–361.

    Google Scholar 

  17. Lian Y. (1995), “The Optimum Design of Half-Band Filter using Multi-Stage Frequency-Response Masking Technique”, Signal Processing, 44(3), pp. 369–372.

    Google Scholar 

  18. Xu, C., Wang, C. Y. and Parhi, K. K. (2011), “Order-Configurable Programmable Power-Efficient FIR Filters”, International Conference on High Performance Computing, Trivandrum, pp. 357–361.

    Google Scholar 

  19. Hartley, R. I. (1996), “Subexpression Sharing in Filters Using Canonic Signed Digit Multipliers,” IEEE Transactions on Circuits and Systems-II: Analog and Digital Signal Processing, 43(10), pp. 677–688.

    Google Scholar 

  20. Sankarayya N., Roy, K. and Bhattacharya, D. (1997), “Algorithms for Low Power Fir Filter Realization Using Differential Coefficients,” IEEE Transactions on Circuits and Systems—II: Analog and Digital Signal Processing, 44(6), pp. 488–497.

    Google Scholar 

  21. Chang, T. S. and Jen, C. W. (1998), “Low Power FIR Filter Realization with Differential Coefficients and Input”, IEEE International Conference on Acoustics, Speech and Signal Processing, Seattle, WA, pp. 3009–3012.

    Google Scholar 

  22. Ramanathan, S., Visvanathan, V. and Nandy, S. K. (1999), “A Computational Engine for Multirate FIR Digital Filtering”, Signal Processing, 79(2), pp. 213–222.

    Google Scholar 

  23. Hong, S. and Stark, W. E. (1999), “Performance Driven Coefficient Optimization for High throughput Energy Efficient Digital Matched Filter Design”, IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, Victoria, BC, pp. 321–324.

    Google Scholar 

  24. Coleman, J. O. (2001), “Cascaded Coefficient Number Systems Lead to FIR Filters of Striking Computational Efficiency,” IEEE International Conference on Electronics, Circuits and Systems, Washington, DC, USA, pp. 513–516.

    Google Scholar 

  25. Lian Y., Zhang, L. and Ko, C. C. (2001), “An Improved Frequency Response Masking Approach for Designing Sharp FIR Filters”, Signal Processing, 81(12), pp. 2573–2581.

    Google Scholar 

  26. Chan, S. C., Liu, W. and Ho, K. L. (2001), “Multiplierless Perfect Reconstruction Modulated Filter Banks with Sum-of-Powers-of-Two Coefficients”, IEEE Signal Processing Letters, 8(6), pp. 163–166.

    Google Scholar 

  27. Tang, Z., Zhang, J. and Min, H. (2002), “A High-Speed Programmable CSD Coefficient FIR Filter”, IEEE Transactions on Consumer Electronics, 48(4), pp. 834–837.

    Google Scholar 

  28. Park, J., Jeong, W., Meimand, M. H. Yongtao Wang, Hunsoo Choo and Kaushik Roy (2004), “Computation Sharing Programmable FIR Filter for Low-Power and High-Performance Applications” IEEE Journal of Solid-State Circuits, 39(2), pp. 348–357.

    Google Scholar 

  29. Vinod, A. P. and Lai, E. M. K. (2005), “An Efficient Coefficient-Partitioning Algorithm for Realizing Low-Complexity Digital Filters,” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 24(12), pp. 1936–1946.

    Google Scholar 

  30. Kidambi, S. S. (2005), “An Efficient Closed-Form Approach to the Design of Linear-Phase FIR Digital Filters with Variable Bandwidth Characteristics”, Signal Processing, 86(7), pp. 1656–1669.

    Google Scholar 

  31. Chen, K. H. and Chiueh, T. D. (2006), “A Low Power Digit Based Reconfigurable FIR Filter”, IEEE Transaction on Circuits Systems II, 53(8), pp. 617–621.

    Google Scholar 

  32. Eshtawie, M. A. M. and Othman, M. B. (2007), “An Algorithm Proposed for FIR Filter Coefficients Representation” International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering, 1(2), pp. 126–132.

    Google Scholar 

  33. Wang, X. H. and He, Y. G. (2008), “A Neural Network Approach to FIR Filter Design Using Frequency-Response Masking Technique”, Signal Processing, 88(12), pp. 1695–1704.

    Google Scholar 

  34. Mahesh, R. and Vinod, A. P. (2008), “Coefficient Decimation Approach for Realizing Reconfigurable Finite Impulse Response Filters”, IEEE International Symposium on Circuits System, Seattle, WA, pp. 81–84.

    Google Scholar 

  35. Meher, P. K., Chandrasekaran, S. and Amira, A. (2008), “FPGA Realization of FIR Filters by Efficient and Flexible Systolization using Distributed Arithmetic”, IEEE Transactions on Signal Processing, 56(7), pp. 3009–3017.

    Google Scholar 

  36. Mahesh, R. and Vinod A. P. (2008), “A New Common Subexpression Elimination Algorithm for Realizing Low-Complexity Higher Order Digital Filters”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 27(2), pp. 121–134.

    Google Scholar 

  37. Aktan, M. Yurdakul, A. and Dundar, G. (2008), “An Algorithm for the Design of Low-Power Hardware-Efficient FIR Filters”, IEEE Transactions On Circuits And Systems—I: Regular Papers, 55(6), pp. 1536–1545.

    Google Scholar 

  38. Choi, J. H., Banerjee, N. and Roy, K. (2009), “Variation-Aware Low-Power Synthesis Methodology for Fixed-Point FIR Filters”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 28(1), pp. 87–97.

    Google Scholar 

  39. Baran, T., Wei, D. and Oppenheim, A. V. (2010), “Linear Programming Algorithms for Sparse Filter Design”, IEEE Transactions on Signal Processing, 58(3), pp. 1605–1617.

    Google Scholar 

  40. Smitha, K. G. and Vinod, A. P. (2009), “A New Low Power Reconfigurable Decimation Interpolation And Masking Based Filter Architecture For Channel Adaptation In Cognitive Radio Handsets,” Physical Communication, 2(1), pp. 47–57.

    Google Scholar 

  41. Lin, M., Vinod, A.P. and Samson See, C. M. (2011), “A New Flexible Filter Bank for Low Complexity Spectrum Sensing in Cognitive Radios”, Journal of Signal Processing Systems for Signal, Image and Video Technology, 62(2), pp. 205–215.

    Google Scholar 

  42. Sheikh, Z. U. and Gustafsson, O. (2012), “Linear Programming Design of Coefficient Decimation FIR Filters”, IEEE Transaction Circuits System II, 59(1), pp. 60–64.

    Google Scholar 

  43. Rusu, C. and Dumitrescu, B. (2011), “Iterative Reweighted Design of Sparse FIR Filters”, Signal Processing, 92(4), pp. 905–911.

    Google Scholar 

  44. Bhattacharjeea, S., Sil, S. and Chakrabarti, A. (2013), “Evaluation of Power Efficient FIR Filter for FPGA Based DSP Applications”, Procedia Technology, 10, pp. 856–865.

    Google Scholar 

  45. Ambede A., Simtha, K.G. and Vinod, A.P. (2013), “A Low-Complexity Uniform and Non-uniform Digital Filter Bank Based on an Improved Coefficient Decimation Method for Multi-standard Communication Channelizers”, Circuits, Systems and Signal Processing, 32(2), pp. 2543–2557.

    Google Scholar 

  46. Qaisar, S. S., Fesquet, L. and Renaudin, M. (2014), “Adaptive Rate Filtering a Computationally Efficient Signal Processing Approach”, Signal Processing, 94, pp. 620–630.

    Google Scholar 

  47. Ambede, A., Shreejith, S., Vinod, A. P. and Fahmy, S. A. (2015), “Design and Realization of Variable Digital Filters for Software Defined Radio Channelizers using Improved Coefficient Decimation Method”, IEEE Transaction Circuits System II, 63(1), pp. 59–63.

    Google Scholar 

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Correspondence to Bharat Naresh Bansal .

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Bansal, B.N., Singh, A., Bhullar, J.S. (2018). A Review of FIR Filter Designs. In: Perez, G., Mishra, K., Tiwari, S., Trivedi, M. (eds) Networking Communication and Data Knowledge Engineering. Lecture Notes on Data Engineering and Communications Technologies, vol 3. Springer, Singapore. https://doi.org/10.1007/978-981-10-4585-1_11

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  • DOI: https://doi.org/10.1007/978-981-10-4585-1_11

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