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低功耗连续小波变换的标准滤波器近似方法。

Standard filter approximations for low power Continuous Wavelet Transforms.

作者信息

Casson Alexander J, Rodriguez-Villegas Esther

机构信息

Department of Electrical and Electronic Engineering, Imperial College London, UK.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:646-9. doi: 10.1109/IEMBS.2010.5627245.

Abstract

Analogue domain implementations of the Continuous Wavelet Transform (CWT) have proved popular in recent years as they can be implemented at very low power consumption levels. This is essential for use in wearable, long term physiological monitoring systems. Present analogue CWT implementations rely on taking mathematical a approximation of the wanted mother wavelet function to give a filter transfer function that is suitable for circuit implementation. This paper investigates the use of standard filter approximations (Butterworth, Chebyshev, Bessel) as an alternative wavelet approximation technique. This extends the number of approximation techniques available for generating analogue CWT filters. An example ECG analysis shows that signal information can be successfully extracted using these CWT approximations.

摘要

连续小波变换(CWT)的模拟域实现近年来已被证明很受欢迎,因为它们可以在非常低的功耗水平下实现。这对于可穿戴的长期生理监测系统的使用至关重要。目前的模拟CWT实现依赖于对所需母小波函数进行数学近似,以给出适合电路实现的滤波器传递函数。本文研究了使用标准滤波器近似(巴特沃斯、切比雪夫、贝塞尔)作为一种替代小波近似技术。这扩展了可用于生成模拟CWT滤波器的近似技术的数量。一个心电图分析示例表明,使用这些CWT近似可以成功提取信号信息。

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