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首页> 外文期刊>Circuits and Systems I: Regular Papers, IEEE Transactions on >Design and Implementation of Low-Power ANSI S1.11 Filter Bank for Digital Hearing Aids
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Design and Implementation of Low-Power ANSI S1.11 Filter Bank for Digital Hearing Aids

机译：用于数字助听器的低功耗ANSI S1.11滤波器组的设计与实现

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摘要

Due to well matching the frequency characteristics of human ears, ANSI S1.11 1/3-octave filter bank is popular in acoustic applications, such as acoustic analyzers and equalizers. It is also desirable in hearing aids because the famous hearing aid prescription formula, NAL-NL1, prescribes its gains at ANSI 1/3-octave frequencies. However, the high computation complexity limits its usage, in which the power consumption is a critical concern. To address this issue, a low-power design and implementation of ANSI S1.11 filter bank for digital hearing aids is present. We first develop the complexity-effective multirate FIR filter bank algorithm. And, a systematic coefficient design flow is elaborated for the proposed filter bank to minimize the order of the FIR filter thereof. In an 18-band digital hearing aid with 24-kHz sampling rate, the proposed algorithm saves about 96% of multiplications and additions, comparing that with a straightforward FIR filter bank. Moreover, various low-power VLSI design techniques are investigated in detail and applied on our design. The proposed complexity-effective ANSI S1.11 FIR filter bank has been implemented in the TSMC 0.13-$mu$ m CMOS technology with an area-efficient architecture. The test chip consumes only 87 $mu$ W, which is 30%–79% of that of the others available in the literature. The proposed low-power ANSI 1/3-octave bank makes itself being able to precisely apply the prescribed gains obtained by NAL-NL1 prescription formula for hearing-impaired people.
机译：由于与人耳的频率特性完全匹配，因此ANSI S1.11 1/3倍频程滤波器组在声学应用中很流行，例如声学分析仪和均衡器。在助听器中也是理想的，因为著名的助听器处方公式NAL-NL1规定了其在ANSI 1/3倍频程频率下的增益。然而，高计算复杂度限制了其使用，其中功耗是一个关键问题。为了解决这个问题，提出了一种用于数字助听器的低功耗设计和ANSI S1.11滤波器组的实现。我们首先开发了复杂度有效的多速率FIR滤波器组算法。并且，针对所提出的滤波器组阐述了系统的系数设计流程，以最小化其FIR滤波器的阶数。在具有24 kHz采样率的18波段数字助听器中，与简单的FIR滤波器组相比，该算法可节省约96％的乘法和加法运算。此外，详细研究了各种低功耗VLSI设计技术并将其应用于我们的设计中。所提议的复杂度有效的ANSI S1.11 FIR滤波器组已在具有面积高效架构的TSMC0.13-μmCMOS技术中实现。该测试芯片仅消耗87 µW，这是文献中其他芯片的30％–79％。拟议的低功耗ANSI 1/3倍频程库使自己能够将NAL-NL1处方公式所获得的规定增益准确地应用于听障人士。

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