NsigNet: A Neural Network Design for Detecting the Number of Signals Under Sparse Observations
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DOI: 10.1109/jiot.2024.3350636
Abstract: Many estimation and reconstruction algorithms in signal processing fields can be improved themselves if the number of signals is known. However, this assumption of preknowledge is challenging in real environments. Additionally, it is often necessary… read more here.
Keywords: number; number signals; nsignet neural; neural network ... See more keywords
Detection of the Number of Signals by Signal Subspace Matching
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DOI: 10.1109/tsp.2021.3053495
Abstract: We present a novel and computationally simple solution to the problem of detecting the number of signals, which is applicable to both white and colored noise, and to a very small number of samples. The… read more here.
Keywords: signal subspace; number signals; subspace; subspace matching ... See more keywords
Detection of the Number of Signals in Uniform Arrays by Invariant-Signal-Subspace Matching
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2022.3154229
Abstract: We present a novel and computationally simple solution to the problem of detecting the number of signals in the case of uniform linear arrays (ULA) and uniform rectangular arrays (URA), which is applicable to white… read more here.
Keywords: inline formula; number; number signals; tex math ... See more keywords