Power-Efficient Reconfigurable FRM Filter-Bank using Brent Kung Adder for Hearing Aids

Authors

  • Anjali Shrivastav Pimpri Chinchwad College of Engineering, Savitribai Phule Pune University, Pune, Maharashtra, India
  • Sheetal Bhandari
  • Mahesh Kolte
  • Paras Mahajan

Keywords:

Distributed Arithmetic, FPGA, Frequency Response Masking, Han-Carlson Adder, Kogg-Stone Adder, Ladner-Fischer Adder, Parallel Prefix Adders

Abstract

Efficient power usage is a key design criterion for hearing aids as they are battery-powered devices. Low power consumption of hearing aid leads to longer battery life, and smaller and lighter battery without compromising the operation time and improving the convenience and overall satisfaction of hearing impaired. To further improvise the user experience and comfort, filter banks which are reconfigurable in nature are used in hearing aids making them more customized and flexible to varying hearing profiles of patients. Thus, reconfigurability with efficient power utilization is the key filterbank requirement in hearing aid. The paper presents a design of a power-efficient reconfigurable Frequency Response Masking(FRM) Filter bank for hearing aid. The Distributed arithmetic technique is employed to generate distributed RAM partial product generators which are then accumulated using adders. For fast and power-efficient operation, Parallel Prefix Adder (PPA) is chosen against sequential adders. In this paper, four types of PPA viz. Kogge-Stone Adder (KSA), Brent Kung Adder (BKA), Han-Carlson Adder (HCA) and Ladner-Fischer Adder (LFA) are designed and compared for their power and resource utilization. Further, filter banks are designed using all four adders as part of their processing unit using Verilog HDL in Xilinx Vivado 2018 and implemented in Kintex 7 FPGA Genesys 2 board. Experimental results confirm that the reconfigurable filter bank designed using Brent Kung adder has the least power requirement amongst all four PPA-based filter designs and consumes 39.74% lesser power compared to the existing reconfigurable filter design using Carry Bypass adder.

 

Downloads

Download data is not yet available.

References

Holman, J.A., et al., Hearing impairment and daily-life fatigue: a qualitative study. International Journal of Audiology, 2019. 58(7): p. 408-416.

Ren, H., B. Hu, and G. Jiang, Advancements in prevention and intervention of sensorineural hearing loss. Ther Adv Chronic Dis, 2022. 13: p. 20406223221104987.

Ohlenforst, B., et al., Effects of Hearing Impairment and Hearing Aid Amplification on Listening Effort: A Systematic Review. Ear Hear, 2017. 38(3): p. 267-281.

Subbulakshmi, N. and R. Manimegalai. A survey of filter bank algorithms for biomedical applications. in 2014 International Conference on Computer Communication and Informatics. 2014.

Abdul, A., B. T. S, and E. Elias, Design and implementation of reconfigurable filter bank structure for low complexity hearing aids using 2-level sound wave decomposition. Biomedical Signal Processing and Control, 2018. 43: p. 96-109.

Kaur, J. and L. Sood, Comparison Between Various Types of Adder Topologies. www.ijcst.com, 2015. 6.

Akash, S., M. Ajeeth, and N. Radha. An Efficient Implementation of FIR Filter Using High Speed Adders For Signal Processing Applications. in 2020 Second International Conference on Inventive Research in Computing Applications (ICIRCA). 2020.

A, A. and M. M, Implementation of Kogge Stone Adder for Signal Processing Applications. IJARCCE, 2019. 8: p. 141-146.

Abidin, A.Z., et al., 4-bit Brent Kung Parrallel Prefix Adder Simulation Study Using Silvaco EDA Tools. International Journal of Simulation Systems Science & Technology, 2012. 13: p. 51-59.

Gupta, T. and J.B. Sharma, Han–Carlson adder based high-speed Vedic multiplier for complex multiplication. Microsystem Technologies, 2018. 24(9): p. 3901-3906.

BabaFariddin, S. and E. Vijay, Design of Efficient 16-Bit Parallel Prefix Ladner-Fischer Adder. International Journal of Computer Applications, 2013. 79: p. 10-14.

Bäuml, R. and W. Sörgel, Uniform polyphase filter banks for use in hearing aids: Design and constraints. European Signal Processing Conference, 2008.

Swamy, A., et al., A Non-Uniform Digital Filter Bank Hearing Aid for Aged People with Hearing Disability. 2021. p. 179-197.

Devis, T. and M. Manuel, Multirate and Filterbank Approaches in Digital Hearing Aid Design: A Review. IOP Conference Series: Materials Science and Engineering, 2018. 396(1): p. 012036.

Anjali A. Shrivastav, M.T.K., Reconfigurable Filter Bank Design Techniques for Hearing Aid Performance Improvement International Journal of Recent Technology and Engineering (IJRTE), 2020. 8(6).

Dhanya N, D.R.G., Reconfigurable filter bank structures forhearing aid applications. International Journal of Pure and Applied Mathematics, 2018. 118.

Naik, N.S. and K.A. Gupta, An Efficient Reconfigurable FIR Digital Filter Using Modified Distribute Arithmetic Technique. ArXiv, 2017. abs/1704.08526.

Bhagyalakshmi, N., K.R. Rekha, and K.R. Nataraj. Design and implementation of DA-based reconfigurable FIR digital filter on FPGA. in 2015 International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT). 2015.

Bhuyan, A., M. Sarma, and N. Mastorakis, Design and Implementation of an Area and Power-efficient Reconfigurable Hearing Aid using Interpolated Sub-band Distribution Technique. WSEAS TRANSACTIONS ON SYSTEMS, 2022. 21: p. 312-319.

Zheng, X.X., et al., Design of FRM-Based Nonuniform Filter Bank With Reduced Effective Wordlength for Hearing Aids. IEEE Transactions on Biomedical Circuits and Systems, 2022. 16(6): p. 1216-1227.

Sebastian, A., M. Francis, and A. Mathew, Non-uniform FIR Digital Filter Bank for Hearing Aid Application Using Frequency Response Masking Technique: A Review. 2020.

Shrivastav, A. and M. Kolte. Frequency Response Masking Based Reconfigurable Filter Bank for Hearing Aids. in Proceeding of International Conference on Computational Science and Applications. 2022. Singapore: Springer Nature Singapore.

Shrivastav, A., et al. An Efficient Reconfigurable FRM Filterbank for Digital Hearing Aid. in 2022 6th International Conference On Computing, Communication, Control And Automation (ICCUBEA. 2022.

R, R. and M. S, Frequency response masking based FIR filter using approximate multiplier for bio-medical applications. Sādhanā, 2019. 44(11): p. 225.

Ito, N. and T.-L. Deng, Variable-bandwidth filter-bank for low-power hearing aids. 2010. 7.

Haridas, N. and E. Elias, Efficient variable bandwidth filters for digital hearing aid using Farrow structure. Journal of Advanced Research, 2016. 7(2): p. 255-262.

Jayeshma, A. and D. Sunderlin Shibu, An ımproved fractional fourier transform based reconfigurable filter bank for hearing aid. Int J Eng Trends Technol, 2014. 10(6): p. 276-279.

Ma, T., Y. Wei, and X. Lou, Reconfigurable Nonuniform Filter Bank for Hearing Aid Systems. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2022. 30: p. 758-771.

Reddy, Kasarla Satish and H. N. Suresh, A Low Power VLSI Implementation of Reconfigurable FIR Filter Using Carry Bypass Adder. International Journal of Intelligent Engineering and Systems,2018.11: 225-236.

Nayak, R. ., & Samanta, S. . (2023). Prediction of Factors Influencing Social Performance of Indian MFIs using Machine Learning Approach. International Journal on Recent and Innovation Trends in Computing and Communication, 11(1), 77–87. https://doi.org/10.17762/ijritcc.v11i1.6053

Anna, G., Hernandez, M., García, M., Fernández, M., & González, M. Optimizing Course Recommendations for Engineering Students Using Machine Learning. Kuwait Journal of Machine Learning, 1(1). Retrieved from http://kuwaitjournals.com/index.php/kjml/article/view/104

Jain, V., Beram, S.M., Talukdar, V., Patil, T., Dhabliya, D., Gupta, A. Accuracy Enhancement in Machine Learning During Blockchain Based Transaction Classification (2022) PDGC 2022 - 2022 7th International Conference on Parallel, Distributed and Grid Computing, pp. 536-540.

Downloads

Published

27.10.2023

How to Cite

Shrivastav, A. ., Bhandari, S. ., Kolte, M. ., & Mahajan, P. . (2023). Power-Efficient Reconfigurable FRM Filter-Bank using Brent Kung Adder for Hearing Aids. International Journal of Intelligent Systems and Applications in Engineering, 12(2s), 163–173. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3567

Issue

Section

Research Article