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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…
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Keywords:
multitaper spectral;
network;
spectrum sensing;
spectral estimation ... See more keywords
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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…
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Keywords:
spectral estimation;
comb based;
extending comb;
noise ... See more keywords
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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…
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Keywords:
parameter estimation;
whitening filter;
gravitational wave;
spectral estimation ... See more keywords
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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…
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Keywords:
spectral estimation;
multitaper whittle;
estimation using;
using multitaper ... See more keywords
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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…
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Keywords:
spectral estimation;
line spectral;
domain;
rank constrained ... See more keywords
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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…
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Keywords:
neural network;
spectral estimation;
quasi neural;
line ... See more keywords
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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…
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Keywords:
resolution;
time;
spectral estimation;
doppler ... See more keywords