基于高斯导数族的低通滤波器的新设计

S. Karmakar, Kuntal Ghosh, R. Saha, S. Sarkar, S. Sen
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引用次数: 4

摘要

利用基于高斯导数的人类视觉系统模型及其在光谱域的非局域性,提出了一种新的低通滤波器设计方案。该滤波器采用高斯导数族的加权组合设计,使得该滤波器的通带几乎等纹。由于高斯导数在谱域中具有带通性质,因此该设计原理也可扩展到带通滤波器。该工作已应用于基于σ - δ的超声波束形成器的自适应数字滤波器的设计
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new design of low pass filter by Gaussian derivative family
Exploiting the models of human visual system based on Gaussian derivatives and their non-localization property in spectral domain, a new design of low pass filter is proposed in this work. The filter is designed by a weighted combination of the Gaussian derivative family which makes the passband of this filter almost equiripple. This design principle can be extended for the bandpass filter also because of the bandpass nature of the Gaussian derivatives in spectral domain. This work is applied in the design of adaptive digital filters for sigma-delta based ultrasound beamformer
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