Spectral peak-shift estimation with wavelength dependent sources and detectors

J. T. Hastings

doi:10.1109/TSP.2008.928954

Spectral peak-shift estimation with wavelength dependent sources and detectors

Research output: Contribution to journal › Article › peer-review

Abstract

This correspondence extends Karl and Pien's ["High-Resolution Biosensor Spectral Peak Shift Estimation,"IEEE Transactions on Signal Processing, vol 53, no. 12, pp. 4631-4639, December 2005] approach to spectral-shift estimation for optical sensors to account for wavelength dependent illumination sources and detectors. Relaxing the assumption of spectrally uniform source power and detector efficiency alters the previously derived Cramér-Rao bound and maximum-likelihood estimator. The new estimator offers significantly reduced error compared to the wavelength invariant estimator and common ad hoc estimators.

Original language	English
Pages (from-to)	5269-5272
Number of pages	4
Journal	IEEE Transactions on Signal Processing
Volume	56
Issue number	10 II
DOIs	https://doi.org/10.1109/TSP.2008.928954
State	Published - 2008

Bibliographical note

Funding Information:
Manuscript received January 2, 2008; revised June 21, 2008. First published July 25, 2008; current version published September 17, 2008. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Tryphon T. Georgiou. This material is based upon work supported by the National Science Foundation under Grant 0716486.

Keywords

Cramér-Rao lower bound
Optical sensors
Spectral peakshift estimation

ASJC Scopus subject areas

Signal Processing
Electrical and Electronic Engineering

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10.1109/TSP.2008.928954

Cite this

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title = "Spectral peak-shift estimation with wavelength dependent sources and detectors",

abstract = "This correspondence extends Karl and Pien's [{"}High-Resolution Biosensor Spectral Peak Shift Estimation,{"}IEEE Transactions on Signal Processing, vol 53, no. 12, pp. 4631-4639, December 2005] approach to spectral-shift estimation for optical sensors to account for wavelength dependent illumination sources and detectors. Relaxing the assumption of spectrally uniform source power and detector efficiency alters the previously derived Cram{\'e}r-Rao bound and maximum-likelihood estimator. The new estimator offers significantly reduced error compared to the wavelength invariant estimator and common ad hoc estimators.",

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N2 - This correspondence extends Karl and Pien's ["High-Resolution Biosensor Spectral Peak Shift Estimation,"IEEE Transactions on Signal Processing, vol 53, no. 12, pp. 4631-4639, December 2005] approach to spectral-shift estimation for optical sensors to account for wavelength dependent illumination sources and detectors. Relaxing the assumption of spectrally uniform source power and detector efficiency alters the previously derived Cramér-Rao bound and maximum-likelihood estimator. The new estimator offers significantly reduced error compared to the wavelength invariant estimator and common ad hoc estimators.

AB - This correspondence extends Karl and Pien's ["High-Resolution Biosensor Spectral Peak Shift Estimation,"IEEE Transactions on Signal Processing, vol 53, no. 12, pp. 4631-4639, December 2005] approach to spectral-shift estimation for optical sensors to account for wavelength dependent illumination sources and detectors. Relaxing the assumption of spectrally uniform source power and detector efficiency alters the previously derived Cramér-Rao bound and maximum-likelihood estimator. The new estimator offers significantly reduced error compared to the wavelength invariant estimator and common ad hoc estimators.

KW - Cramér-Rao lower bound

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KW - Spectral peakshift estimation

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JO - IEEE Transactions on Signal Processing

JF - IEEE Transactions on Signal Processing

IS - 10 II

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Spectral peak-shift estimation with wavelength dependent sources and detectors

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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