Skip to main content

Study of Efficient FIR Filter Architecture for Fixed and Reconfigurable Applications

  • Conference paper
  • First Online:
International Conference on Artificial Intelligence for Smart Community

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 758))

  • 582 Accesses

Abstract

Transpose type Finite-Impulse Response (FIR) filters are implicitly pipelined and endorse the technique of Multifold Constant Multiplications (MCM). The studied model explores the possibility of understanding block FIR filters in the transpose form pattern for the efficient realization of broad order FIR filters for both fixed and reconfigurable applications in area-delay. A flow graph optimized registry complexity is built based on the computational study of transpose type configuration of the FIR filter. The proposed translate type block filter is an architecture based on a multiplier. Analysis is done towards the need of an optimum low complexity design using the MCM model for the block realization of fixed FIR filters. Since power dissipation is directly linked to the hardware, the use of MCM algorithms indirectly achieves a certain amount of power reduction. MCM is therefore largely found to be sufficient for the implementation of Broad Order design research. Using Data Flow Graph, which has been comprehensively iterated based on the ability to execute algorithms and their enhancement with a high degree of parallel and asynchronous operation, the computation process in MCM is likely to be well performed.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Reddy KS, Suresh HN (2019) FPGA implementation of reconfigurable FIR filter using Vedic design with CLA adder. Int J Adv Sci Technol 28(1):144–161. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/228

  2. Ahmed F (2019) The energy efficient fir filter for biomedical application using FPGA. Comput Rev J 3:236–244

    Google Scholar 

  3. Shah S, Rajula S (2019) Design of FIR filter architecture for fixed and reconfigurable applications using highly efficient carry select adder. Adv Intell Syst Comput 898:627–637 (2019)

    Google Scholar 

  4. Chowdari CP, Seventline JB (2020) Systolic architecture for adaptive block FIR filter for throughput using distributed arithmetic. Int J Speech Technol 23:549–557 (2020). https://doi.org/10.1007/s10772-020-09745-4

  5. Mohanty BK, Kumar P (2013) A high-performance energy-efficient architecture for FIR adaptive filter based on new distributed arithmetic formulation of block LMS algorithm. IEEE Trans Signal Process 61(4):921–932

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to B. Aruna Devi .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Aruna Devi, B., Devi, V.P., Preethi, S. (2022). Study of Efficient FIR Filter Architecture for Fixed and Reconfigurable Applications. In: Ibrahim, R., K. Porkumaran, Kannan, R., Mohd Nor, N., S. Prabakar (eds) International Conference on Artificial Intelligence for Smart Community. Lecture Notes in Electrical Engineering, vol 758. Springer, Singapore. https://doi.org/10.1007/978-981-16-2183-3_18

Download citation

  • DOI: https://doi.org/10.1007/978-981-16-2183-3_18

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-2182-6

  • Online ISBN: 978-981-16-2183-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics