Mismatched Estimation of Polynomially Damped Signals

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Sammanfattning

In this work, we consider the problem of estimating the parameters of polynomially damped sinusoidal signals, commonly encountered in, for instance, spectroscopy. Generally, finding the parameter values of such signals constitutes a high-dimensional problem, often further complicated by not knowing the number of signal components or their specific signal structures. In order to alleviate the computational burden, we herein propose a mismatched estimation procedure using simplified, approximate signal models. Despite the approximation, we show that such a procedure is expected to yield predictable results, allowing for statistically and computationally efficient estimates of the signal parameters.

Originalspråkengelska
Titel på gästpublikation2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019 - Proceedings
FörlagIEEE - Institute of Electrical and Electronics Engineers Inc.
Sidor246-250
Antal sidor5
ISBN (elektroniskt)9781728155494
DOI
StatusPublished - 2019
Evenemang8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019 - Le Gosier, Guadeloupe
Varaktighet: 2019 dec 152019 dec 18

Publikationsserier

Namn2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019 - Proceedings

Konferens

Konferens8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019
Land/TerritoriumGuadeloupe
OrtLe Gosier
Period2019/12/152019/12/18

Ämnesklassifikation (UKÄ)

  • Matematik
  • Signalbehandling

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