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Phase-based methods for estimating the frequency of a sinusoid have typically suffered from a threshold effect, where for signal to noise ratio (SNR) below the threshold, the mean squared error of the estimate rapidly increases. Furthermore, it is a significant problem that the threshold is considerably high and strongly depends on frequency. To overcome the difficulties, a Kalman-based sinusoidal estimator bank (KSEB) is proposed. In the derivation of the KSEB, a four-channel filter bank and decimation technique are effectively used. The computer simulation also demonstrates the superiority of the KSEB to the other frequency estimators.

- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E84-A No.12 pp.3174-3176

- Publication Date
- 2001/12/01

- Publicized

- Online ISSN

- DOI

- Type of Manuscript
- LETTER

- Category
- Digital Signal Processing

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Kiyoshi NISHIYAMA, "Parallel Implementation of a Kalman-Based Sinusoidal Estimator" in IEICE TRANSACTIONS on Fundamentals,
vol. E84-A, no. 12, pp. 3174-3176, December 2001, doi: .

Abstract: Phase-based methods for estimating the frequency of a sinusoid have typically suffered from a threshold effect, where for signal to noise ratio (SNR) below the threshold, the mean squared error of the estimate rapidly increases. Furthermore, it is a significant problem that the threshold is considerably high and strongly depends on frequency. To overcome the difficulties, a Kalman-based sinusoidal estimator bank (KSEB) is proposed. In the derivation of the KSEB, a four-channel filter bank and decimation technique are effectively used. The computer simulation also demonstrates the superiority of the KSEB to the other frequency estimators.

URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e84-a_12_3174/_p

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@ARTICLE{e84-a_12_3174,

author={Kiyoshi NISHIYAMA, },

journal={IEICE TRANSACTIONS on Fundamentals},

title={Parallel Implementation of a Kalman-Based Sinusoidal Estimator},

year={2001},

volume={E84-A},

number={12},

pages={3174-3176},

abstract={Phase-based methods for estimating the frequency of a sinusoid have typically suffered from a threshold effect, where for signal to noise ratio (SNR) below the threshold, the mean squared error of the estimate rapidly increases. Furthermore, it is a significant problem that the threshold is considerably high and strongly depends on frequency. To overcome the difficulties, a Kalman-based sinusoidal estimator bank (KSEB) is proposed. In the derivation of the KSEB, a four-channel filter bank and decimation technique are effectively used. The computer simulation also demonstrates the superiority of the KSEB to the other frequency estimators.},

keywords={},

doi={},

ISSN={},

month={December},}

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TY - JOUR

TI - Parallel Implementation of a Kalman-Based Sinusoidal Estimator

T2 - IEICE TRANSACTIONS on Fundamentals

SP - 3174

EP - 3176

AU - Kiyoshi NISHIYAMA

PY - 2001

DO -

JO - IEICE TRANSACTIONS on Fundamentals

SN -

VL - E84-A

IS - 12

JA - IEICE TRANSACTIONS on Fundamentals

Y1 - December 2001

AB - Phase-based methods for estimating the frequency of a sinusoid have typically suffered from a threshold effect, where for signal to noise ratio (SNR) below the threshold, the mean squared error of the estimate rapidly increases. Furthermore, it is a significant problem that the threshold is considerably high and strongly depends on frequency. To overcome the difficulties, a Kalman-based sinusoidal estimator bank (KSEB) is proposed. In the derivation of the KSEB, a four-channel filter bank and decimation technique are effectively used. The computer simulation also demonstrates the superiority of the KSEB to the other frequency estimators.

ER -