Detection of Frequency Modulated Signals Using a Robust IF Estimation Algorithm
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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.
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Uncovering noisy social signals: Using optimization methods from experimental physics to study social phenomena
Sign Up to like & getrecommendations! 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
Enhancing the functionality of self-assembled immune signals using chemical crosslinks
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Immunology"
DOI: 10.3389/fimmu.2023.1079910
Abstract: Multiple sclerosis (MS) is an autoimmune disease that develops when dysfunctional autoreactive lymphocytes attack the myelin sheath in the central nervous system. There are no cures for MS, and existing treatments are associated with unwanted… read more here.
Keywords: assembled immune; immune signals; self assembled; functionality self ... See more keywords
Automatic Calibration of Piezoelectric Bed-Leaving Sensor Signals Using Genetic Network Programming Algorithms
Sign Up to like & getrecommendations! Published in 2021 at "Algorithms"
DOI: 10.3390/a14040117
Abstract: This paper presents a filter generating method that modifies sensor signals using genetic network programming (GNP) for automatic calibration to absorb individual differences. For our earlier study, we developed a prototype that incorporates bed-leaving detection… read more here.
Keywords: automatic calibration; sensor signals; using genetic; signals using ... See more keywords