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High-performance DSP platform for digital hearing aid SoC with flexible noise estimation

机译:用于数字助听器SoC的高性能DSP平台,具有灵活的噪声估计

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Flexibility and programmability of hearing aids are important because the algorithms applied to hearing aids should be changeable based on different types of hearing impairment and the ambient environment of the user. This paper proposes a high-performance digital signal processing (DSP) platform for a digital hearing aid system on a chip (SoC) with flexible noise estimation. The proposed DSP platform comprises several dedicated accelerators and an application-specific instruction-set processor (ASIP) to achieve flexibility. To handle complex hearing aid algorithms in real time, the main algorithms of hearing aids are executed by hardware accelerators and only environment-sensitive parts of the applied algorithms are implemented as the ASIP. Simulation results show that the proposed DSP platform can handle complex and high-performance algorithms in real time, and that it provides better quality in terms of noise handling by adapting the noise estimation algorithms suitable for the noise environment. The chip area of authors' DSP design is 2.71 mm(2), and it consumes 1.3 mW at 1 V operation, 8 MHz clock frequency with a 65 nm high threshold voltage (HVT) standard cell library.
机译:助听器的灵活性和可编程性很重要,因为应用于助听器的算法应根据不同类型的听力障碍和用户周围环境而变化。本文提出了一种用于数字助听器片上系统(SoC)的高性能数字信号处理(DSP)平台,该平台具有灵活的噪声估计功能。所提出的DSP平台包括多个专用加速器和一个专用指令集处理器(ASIP),以实现灵活性。为了实时处理复杂的助听器算法,助听器的主要算法由硬件加速器执行,并且仅将应用算法中对环境敏感的部分实现为ASIP。仿真结果表明,所提出的DSP平台可以实时处理复杂而高性能的算法,并且通过适应适用于噪声环境的噪声估计算法,可以在噪声处理方面提供更好的质量。作者的DSP设计的芯片面积为2.71 mm(2),在1 V工作时功耗为1.3 mW,时钟频率为8 MHz,具有65 nm高阈值电压(HVT)标准单元库。

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