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Multivariate calibration on a low transistor-count sensor signal processor

Publication ,  Journal Article
Cai, X; Brooke, MA
Published in: Midwest Symposium on Circuits and Systems
October 27, 2008

This paper presents the implementation of multivariate calibration, which is a Chemometrics technique, on a 16-bit precision, low transistor-count serial sensor signal processor. The primary advantage of the proposed processor is its small area consumption due to the one-bit-a-time serial processing architecture and the off-chip memory for data and instruction storage. The processor chip is fabricated in the low cost CMOS technology, and yields compact silicon area and low power consumption, also demonstrating the program flexibility for sensor signal processing capabilities such as in-field self-calibration for the biomedical/chemistry sensor systems-on-a-chip. ©2008 IEEE.

Duke Scholars

Published In

Midwest Symposium on Circuits and Systems

DOI

ISSN

1548-3746

Publication Date

October 27, 2008

Start / End Page

201 / 204
 

Citation

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Cai, X., & Brooke, M. A. (2008). Multivariate calibration on a low transistor-count sensor signal processor. Midwest Symposium on Circuits and Systems, 201–204. https://doi.org/10.1109/MWSCAS.2008.4616771
Cai, X., and M. A. Brooke. “Multivariate calibration on a low transistor-count sensor signal processor.” Midwest Symposium on Circuits and Systems, October 27, 2008, 201–4. https://doi.org/10.1109/MWSCAS.2008.4616771.
Cai X, Brooke MA. Multivariate calibration on a low transistor-count sensor signal processor. Midwest Symposium on Circuits and Systems. 2008 Oct 27;201–4.
Cai, X., and M. A. Brooke. “Multivariate calibration on a low transistor-count sensor signal processor.” Midwest Symposium on Circuits and Systems, Oct. 2008, pp. 201–04. Scopus, doi:10.1109/MWSCAS.2008.4616771.
Cai X, Brooke MA. Multivariate calibration on a low transistor-count sensor signal processor. Midwest Symposium on Circuits and Systems. 2008 Oct 27;201–204.

Published In

Midwest Symposium on Circuits and Systems

DOI

ISSN

1548-3746

Publication Date

October 27, 2008

Start / End Page

201 / 204