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   Articles with "signals using" as a keyword



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Detection of Frequency Modulated Signals Using a Robust IF Estimation Algorithm

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recommendations! Published in 2020 at "Circuits, Systems, and Signal Processing"

DOI: 10.1007/s00034-019-01258-z

Abstract: This paper presents a methodology to detect non-stationary frequency modulated signals under noise process uncertainty. The proposed method uses the combination of adaptive directional time–frequency distribution and modified Viterbi algorithm to robustly estimate the instantaneous… read more here.

Keywords: using robust; detection frequency; modulated signals; frequency modulated ... See more keywords

Beam-forming of broadband QFM signals using generalized time–frequency transform

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recommendations! Published in 2019 at "International Journal of Electronics"

DOI: 10.1080/00207217.2019.1666307

Abstract: ABSTRACT Detection and localisation of contacts using sensor array play a significant role in the area of array signal processing. In this paper, a new beam-forming analysis for broad-banded quadratic frequency modulated (QFM) signals using… read more here.

Keywords: frequency; time frequency; signals using; gtft ... See more keywords

Neural decoding of electrocorticographic signals using dynamic mode decomposition.

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recommendations! Published in 2020 at "Journal of neural engineering"

DOI: 10.1088/1741-2552/ab8910

Abstract: OBJECTIVE Brain-computer interfaces (BCIs) using electrocorticographic (ECoG) signals have been developed to restore the communication function of severely paralyzed patients. However, the limited amount of information derived from ECoG signals hinders their clinical applications. We… read more here.

Keywords: dmd; dynamic mode; accuracy; ecog signals ... See more keywords

Pattern Recognition in Myoelectric Signals Using Deep Learning, Features Engineering, and a Graphics Processing Unit

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recommendations! Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.3038992

Abstract: Intelligent robotic prostheses employ pattern recognition techniques in their construction and, for this, adopt several approaches of Artificial Intelligence (AI). The study created a system called BioPatRec-Py (inspired by BioPatRec) that implements the Convolutional Neural… read more here.

Keywords: training; signals using; myoelectric signals; recognition ... See more keywords

Unsupervised Clustering of Seismic Signals Using Deep Convolutional Autoencoders

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recommendations! Published in 2019 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2019.2909218

Abstract: In this letter, we use deep neural networks for unsupervised clustering of seismic data. We perform the clustering in a feature space that is simultaneously optimized with the clustering assignment, resulting in learned feature representations… read more here.

Keywords: seismic signals; clustering seismic; deep convolutional; unsupervised clustering ... See more keywords

A Multi-Channel Approach for Cortical Stimulation Artefact Suppression in Depth EEG Signals Using Time-Frequency and Spatial Filtering

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recommendations! Published in 2019 at "IEEE Transactions on Biomedical Engineering"

DOI: 10.1109/tbme.2018.2881051

Abstract: Objective: The stereo electroencephalogram (SEEG) recordings are the state-of-the art tool used in pre-surgical evaluation of drug-unresponsive epileptic patients. Coupled with SEEG, electrical cortical stimulation (CS) offers a complementary tool to investigate the lesioned/healthy brain… read more here.

Keywords: frequency; approach; time frequency; signals using ... See more keywords

DOA Estimation of Noncircular Signals Using Quaternions

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recommendations! Published in 2017 at "International Journal of Antennas and Propagation"

DOI: 10.1155/2017/9848169

Abstract: The two-dimensional (2D) direction-of-arrival (DOA) estimation problem for noncircular signals using quaternions is considered in this paper. In the framework of quaternions, we reconstruct the conjugate augmented output vector which reduces the dimension of covariance… read more here.

Keywords: estimation noncircular; doa estimation; noncircular signals; using quaternions ... See more keywords

Real-time Transmission of Geometrically-shaped Signals using a Software-defined GPU-based Optical Receiver

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recommendations! Published in 2022 at "Optics Express"

DOI: 10.1364/oe.450514

Abstract: : A software-defined optical receiver is implemented on an off-the-shelf commercial graphics processing unit (GPU). The receiver provides real-time signal processing functionality to process 1 GBaud minimum phase (MP) 4-, 8-, 16-, 32-, 64-, 128-ary… read more here.

Keywords: signals using; real time; optical receiver; geometrically shaped ... See more keywords

Optically enhancing and controlling photoacoustic signals using ultra-thin semiconductor coatings on metal surfaces.

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recommendations! Published in 2024 at "Optics express"

DOI: 10.1364/oe.544902

Abstract: We present a simple approach to enhance the signal strength and detection sensitivity of weak photoacoustic signals, by using ultrathin, high refractive index, absorbing semiconductor layers on metal surfaces. They form etalon resonances with reflection… read more here.

Keywords: semiconductor; photoacoustic signals; thin semiconductor; metal surfaces ... See more keywords

Uncovering noisy social signals: Using optimization methods from experimental physics to study social phenomena

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recommendations! Published in 2017 at "PLoS ONE"

DOI: 10.1371/journal.pone.0174182

Abstract: Due to the ubiquitous presence of treatment heterogeneity, measurement error, and contextual confounders, numerous social phenomena are hard to study. Precise control of treatment variables and possible confounders is often key to the success of… read more here.

Keywords: noisy social; uncovering noisy; physics; social signals ... See more keywords

Automated Detection of Heart Arrhythmia Signals by Using a Convolutional Takagi–Sugeno–Kang-type Fuzzy Neural Network

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recommendations! Published in 2024 at "Sensors and Materials"

DOI: 10.18494/sam4682

Abstract: belonging to 17 categories. Each record has a duration of 10 s and contains 3600 sampling points. According to our experimental results, the accuracy, recall, precision, and F1-score of the CTFNN for long-term signals were… read more here.

Keywords: using convolutional; detection heart; heart arrhythmia; signals using ... See more keywords