A novel low power MOSFET-C band pass filter for low frequency applications with subthreshold models based on polynomial regression-Reference-Cited by-同舟云学术

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A novel low power MOSFET-C band pass filter for low frequency applications with subthreshold models based on polynomial regression

Published:2018-06-18 Issue:1 Volume:97 Page:97-105
ISSN:0925-1030
Container-title:Analog Integrated Circuits and Signal Processing
language:en
Short-container-title:Analog Integr Circ Sig Process

Author:

Ozenli Deniz,Kuntman H. Hakan

Publisher

Springer Science and Business Media LLC

Subject

Surfaces, Coatings and Films,Hardware and Architecture,Signal Processing

Link

http://link.springer.com/article/10.1007/s10470-018-1227-0/fulltext.html

Reference20 articles.

1. Lee, S. C., Lee, S. Y., & Chiang, C. H. (2008). 0.9 V low-power switched-opamp switched-capacitor bandpass filter for electroneurography acquisition systems. IET Circuits, Devices and Systems, 2(2), 257–263.

2. Salthouse, C. D., & Sarpeshkar, R. (2003). A practical micropower programmable bandpass filter for use in bionic ears. IEEE Journal of Solid-State Circuits, 38(1), 63–70.

3. Zhao, T., Liu, X., Zhang, G., & Su, Y. (2016, October). Design of a programmable and low-frequency filter for biomedical signal sensing applications. In International congress on image and signal processing, biomedical engineering and informatics (CISP-BMEI) (pp. 1746–1750). IEEE.

4. Sawigun, C., & Pawarangkoon, P. (2016, October). 0.6-V, Sub-nW, second-order lowpass filters using flipped voltage followers. In 2016 IEEE Asia Pacific conference on circuits and systems (APCCAS) (pp. 254–257). IEEE.

5. Yang, M., Liu, J., Xiao, Y., & Liao, H. (2010). 14.4nW fourth-order bandpass filter for biomedical applications. Electronics Letters, 46(14), 973–974.

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