Articles with "spectral estimation" as a keyword



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GLRT-based spectrum sensing by exploiting Multitaper Spectral Estimation for cognitive radio network

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Published in 2020 at "Ad Hoc Networks"

DOI: 10.1016/j.adhoc.2020.102289

Abstract: Abstract Spectrum sensing is a key technique for future intelligent networks, such as AdHoc network, wireless sensor networks. However, the existing works suffer from high computational complexity, which is a huge challenge for those networks… read more here.

Keywords: multitaper spectral; network; spectrum sensing; spectral estimation ... See more keywords
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Extending comb-based spectral estimation to multiaxis quantum noise

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Published in 2019 at "Physical Review A"

DOI: 10.1103/physreva.100.042334

Abstract: We show how to achieve full spectral characterization of general multiaxis additive noise. Our pulsed spectral estimation technique is based on sequence repetition and frequency-comb sampling and is applicable even to models where a large… read more here.

Keywords: spectral estimation; comb based; extending comb; noise ... See more keywords
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Noise spectral estimation methods and their impact on gravitational wave measurement of compact binary mergers

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Published in 2019 at "Physical Review D"

DOI: 10.1103/physrevd.100.104004

Abstract: Estimating the parameters of gravitational wave signals detected by ground-based detectors requires an understanding of the properties of the detectors' noise. In particular, the most commonly used likelihood function for gravitational wave data analysis assumes… read more here.

Keywords: parameter estimation; whitening filter; gravitational wave; spectral estimation ... See more keywords
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Spectral Estimation Using Multitaper Whittle Methods With a Lasso Penalty

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Published in 2019 at "IEEE Transactions on Signal Processing"

DOI: 10.1109/tsp.2019.2932879

Abstract: Spectral estimation provides key insights into the frequency domain characteristics of a time series. Naive nonparametric estimates of the spectral density, such as the periodogram, are inconsistent, and the more advanced lag window or multitaper… read more here.

Keywords: spectral estimation; multitaper whittle; estimation using; using multitaper ... See more keywords
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Maximum Likelihood Line Spectral Estimation in the Signal Domain: A Rank-Constrained Structured Matrix Recovery Approach

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Published in 2022 at "IEEE Transactions on Signal Processing"

DOI: 10.1109/tsp.2022.3198863

Abstract: Maximum likelihood estimation (MLE) provides a well-known benchmark for line spectral estimation and has been extensively studied in the parameter domain using a variety of optimization algorithms. To overcome the sensitivity of these algorithms to… read more here.

Keywords: spectral estimation; line spectral; domain; rank constrained ... See more keywords
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Line Spectral Estimation Inspired by Quasi-Neural Network

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Published in 2022 at "IEEE Transactions on Signal Processing"

DOI: 10.1109/tsp.2022.3229944

Abstract: Different from a conventional artificial neural network (ANN) typically being used as a data-driven classifier, the “quasi-neural network” (Quasi-NN), with its inputs, outputs, and activation functions being artfully defined to have explicit physical meaning, is… read more here.

Keywords: neural network; spectral estimation; quasi neural; line ... See more keywords
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Data-Adaptive 2-D Tracking Doppler for High-Resolution Spectral Estimation

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Published in 2020 at "IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control"

DOI: 10.1109/tuffc.2019.2937281

Abstract: Spectral broadening in pulsed-wave Doppler caused by the transit-time effect deteriorates the frequency resolution and may cause overestimation of maximum velocities in high-velocity blood flow regions and for large beam-to-flow angles. Data-adaptive spectral estimators have… read more here.

Keywords: resolution; time; spectral estimation; doppler ... See more keywords