Design and Analysis of Efficient Low-Power Filters For Processing ECG Signal

DOI

10.2991/978-94-6463-718-2_160How to use a DOI?

Keywords

Booth Multiplier; Carry Lookahead Adder; Hybrid Multiplier

Abstract

FIR Filters: Finite Impulse Response (FIR) filters are very important for processing signals because of their stability and linear phase properties. Conventional FIR filters are based on the use of multipliers, which raise hardware complexity, power consumption, and computational delay (particularly in real-time or systemic environments). Multipliers constitute a major part in most of the FIR filter designs, hence multiplying is a number of multipliers will often not feasible in each hardware implementation, In this paper, describes a way to FIR filter design for optimal multiplier-less Digital FIR filter design. The development uses a novel approach to eliminate the multipliers, substituting simple shifts and additions instead, resulting in a vastly reduced hardware area and power consumption, as well as an increased overall processing speed, without degrading the performance of the filter itself.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - K. Nirmala Devi
AU  - C. Sasikala
AU  - Pinisetti Satya Venkata Rama Kiran
AU  - Veluru Pavan
AU  - A. Anjaline Jayapraba
PY  - 2025
DA  - 2025/05/23
TI  - Design and Analysis of Efficient Low-Power Filters For Processing ECG Signal
BT  - Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)
PB  - Atlantis Press
SP  - 1944
EP  - 1952
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-718-2_160
DO  - 10.2991/978-94-6463-718-2_160
ID  - Devi2025
ER  -