Modeling and Simulation of Frequency Response Masking FIR Filter Bank using Approximate Multiplier for Hearing Aid Application

Ramya Raghavachari, Moorthi Sridharan
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引用次数: 1

Abstract

The tremendous increase in the use of portable electronic devices is due to the development in the fields of signal processing and electronic technology. These battery operated devices needs reduction in power consumption with increased performance and long battery life. Since CMOS technology scaling fast approaches its physical limit of minimum supply voltage and smaller feature size, the hardware designer has to opt for new multiplier architectures for achieving low power and high speed performance. This paper proposes an area and power efficient approximate multiplier architecture. The error metrics are estimated to verify its performance advantage over other approximate multipliers. Using Frequency Response masking approach, a 6-band non-uniform digital FIR filter bank is developed using approximate multiplier for hearing aid application. Audiogram matching is done with audiograms of two different types of hearing losses and the matching error is computed. Simulation results show that the audiogram matching error falls within +/- 4 dB range.
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基于近似乘法器的频率响应掩蔽FIR滤波器组在助听器应用中的建模与仿真
便携式电子设备使用的巨大增长是由于信号处理和电子技术领域的发展。这些电池操作的设备需要降低功耗,同时提高性能和延长电池寿命。由于CMOS技术的可扩展性快速接近其最小电源电压和较小特征尺寸的物理极限,硬件设计者必须选择新的乘法器架构来实现低功耗和高速性能。本文提出了一种面积和功率有效的近似乘法器结构。估计误差度量以验证其相对于其他近似乘法器的性能优势。利用频率响应掩蔽方法,利用近似乘法器开发了一个用于助听器应用的6波段非均匀数字FIR滤波器组。用两种不同类型听力损失的听力图进行听力图匹配,并计算匹配误差。仿真结果表明,听力图匹配误差在+/-4dB范围内。
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来源期刊
Advances in Systems Science and Applications
Advances in Systems Science and Applications Engineering-Engineering (all)
CiteScore
1.20
自引率
0.00%
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0
期刊介绍: Advances in Systems Science and Applications (ASSA) is an international peer-reviewed open-source online academic journal. Its scope covers all major aspects of systems (and processes) analysis, modeling, simulation, and control, ranging from theoretical and methodological developments to a large variety of application areas. Survey articles and innovative results are also welcome. ASSA is aimed at the audience of scientists, engineers and researchers working in the framework of these problems. ASSA should be a platform on which researchers will be able to communicate and discuss both their specialized issues and interdisciplinary problems of systems analysis and its applications in science and industry, including data science, artificial intelligence, material science, manufacturing, transportation, power and energy, ecology, corporate management, public governance, finance, and many others.
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