Results 11 to 20 of about 478,778 (267)
Transfer Learning for Event Detection From PMU Measurements With Scarce Labels
IEEE Access, 2021 Event detection in electrical grids is a challenging problem for machine learning methods due to spatiotemporally nonstationary systems and the inability to automate event labeling in high-volume data such as PMU measurements.
Ameen Abdel Hai +7 more
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Spectrum Aliasing Does not Occur in Case of Ideal Signal Sampling [PDF]
International Journal of Electronics and Telecommunications, 2021 A new model of ideal signal sampling operation is developed in this paper. This model does not use the Dirac comb in an analytical description of sampled signals in the continuous time domain. Instead, it utilizes functions of a continuous time variable,
Andrzej Borys
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Spectrum Aliasing Does Occur Only in Case of Non-ideal Signal Sampling [PDF]
International Journal of Electronics and Telecommunications, 2021 In this paper, it has been shown that the spectrum aliasing and folding effects occur only in the case of non-ideal signal sampling. When the duration of the signal sampling is equal to zero, these effects do not occur at all.
Andrzej Borys
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Modelling of Non-ideal Signal Sampling via Averaging Operation and Spectrum of Sampled Signal Predicted by this Model [PDF]
TransNav, 2022 In this paper, a novel model of a non-ideal signal sampling via a local, periodic averaging operation is present-ed. The spectrum of a sampled signal predicted by this model is also analysed as well as compared with a one following from another model.
Andrzej Borys
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Signal Recovery From Unlabeled Samples [PDF]
IEEE Transactions on Signal Processing, 2017 In this paper, we study the recovery of a signal from a set of noisy linear projections (measurements), when such projections are unlabeled, that is, the correspondence between the measurements and the set of projection vectors (i.e., the rows of the measurement matrix) is not known a priori.
Saeid Haghighatshoar, Giuseppe Caire
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IET Wireless Sensor Systems, 2021 A weighted stochastic gradient algorithm is proposed for cost‐efficient tracking of unknown, correlated spatial signals from randomly distributed sensor observations in localized wireless sensor field.
Hadi Alasti
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Optically Enabled ADCs and Application to Optical Communications
IEEE Open Journal of the Solid-State Circuits Society, 2021 Electrical-optical signal processing has been shown to be a promising path to overcome the limitations of state-of-the-art all-electrical data converters. In addition to ultra-broadband signal processing, it allows leveraging ultra-low jitter mode-locked
Andrea Zazzi +14 more
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Sampling walls in signal detection of Bernoulli nonuniformly sampled signals
2013 IEEE International Conference on Communications (ICC), 2013 Best Paper Award for the Signal Processing for Communication Symposium, 2013 IEEE International Conference on Communications (ICC), atorgat per la IEEE Communications Society In this work, we show the existence of sampling walls in signal detection of nonuniformly sampling wideband signals in the presence of noise uncertainty.
Font Segura, Josep +2 more
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The Journal of Engineering, 2019 The compressed sensing (CS) radar receiver based on the theory of CS has a great advantage in receiving wide-band signal and can receive high-frequency radar signal at a sampling rate far lower than the traditional receiver.
Chaozhu Zhang, Peipei Qiu, Hongyi Xu
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Audio module to capture, store and reproduce sound
Tecnología en Marcha, 2021 This poster explains the design of an audio module, which is capable of capturing sound signals and storing them for later reproduction. The development platform is an embedded system (Beaglebone black), which has GPIO pins for user interaction.
Jason Leitón-Jiménez Leitón Jiménez
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