Results 31 to 40 of about 5,545,221 (295)

Muscle fatigue analysis in biceps brachii surface electromyography signals using synchrosqueezed Morlet wavelet and singular value decomposition

Electronics Letters, 2021
Muscle fatigue during isometric contraction of biceps brachii is analysed using synchrosqueezed continuous wavelet transform with Morlet wavelet and singular value decomposition (SVD) features. The recorded surface electromyography signals are decomposed
Lakshmi M. Hari, G. Venugopal, S. Ramakrishnan   +2 more
doaj   +1 more source

Instantaneous Frequency and Amplitude Estimation in Multicomponent Signals Using an EM-Based Algorithm

IEEE Transactions on Signal Processing
This paper addresses the problem of estimating the instantaneous frequency (IF) and amplitude of the modes composing a non-stationary multicomponent signal in the presence of noise. A novel observation model for the signal spectrogram is developed within
Q. Legros, Dominique Fourer, S. Meignen, M. A. Colominas   +3 more
semanticscholar   +1 more source

Estimating instantaneous frequency of multicomponent signal using optimization strategy in fractional domain

Electronics Letters, 2023
Estimating instantaneous frequencies (IFs) overlapped in both time and frequency domains is an important issue in time‐frequency (TF) analysis. In this letter, the TF information of the signal in fractional domain is combined with an optimization ...
Liyun Xu, Wei Li
doaj   +1 more source

Method for Automatic Estimation of Instantaneous Frequency and Group Delay in Time–Frequency Distributions with Application in EEG Seizure Signals Analysis

Sensors, 2023
Instantaneous frequency (IF) is commonly used in the analysis of electroencephalogram (EEG) signals to detect oscillatory-type seizures. However, IF cannot be used to analyze seizures that appear as spikes.
Vedran Jurdana, Miroslav Vrankic, Nikola Lopac, Guruprasad Madhale Jadav   +3 more
doaj   +1 more source

Separation of Multicomponent Micro-Doppler Signal with Missing Samples

Remote Sensing
The problem of separating multicomponent micro-Doppler (m-D) signals is common in the field of radar signal processing. In some implementations, it is necessary to separate the multicomponent m-D signal that contains missing samples.
Jianfei Ren, Huan Wang, Kai-Ming Li, Ying Luo, Qun Zhang, Zhuo Chen   +5 more
doaj   +1 more source

Model Order Selection in Multi-baseline Interferometric Radar Systems

EURASIP Journal on Advances in Signal Processing, 2005
Synthetic aperture radar interferometry (InSAR) is a powerful technique to derive three-dimensional terrain images. Interest is growing in exploiting the advanced multi-baseline mode of InSAR to solve layover effects from complex orography, which ...
Lombardini Fabrizio, Gini Fulvio
doaj   +1 more source

Method of Elements Identification in the Multicomponent Signal

Control Systems and Computers, 2023
To measure concentrations of toxic elements in analytical systems of ecological monitoring, a generative model of a multicomponent differential signal of stripping chronopotentiometry is used in the coordinates of potentials in time (е, dt/dе) in the form of a model of the capacitive background discharge of electrodes (base curve) and the sum of the ...
Ihor V. Surovtsev, Artem K. Sieriebriakov   +1 more
openaire   +1 more source

Establishing an assay to evaluate d‐amino acid oxidase enzyme kinetics and inhibition using WST‐8 redox dye

FEBS Open Bio, EarlyView.
This study investigated a novel WST‐8‐based assay for evaluating d‐Amino acid oxidase (DAO) inhibitors. We confirmed its effectiveness using known inhibitors and found that uremic toxins possess relatively weak inhibitory activity compared to existing drugs.
Kahoko Miyake, Yuki Enoki, Yuka Nakazawa, Kazuaki Taguchi, Kazuaki Matsumoto   +4 more
wiley   +1 more source

Fractional synchrosqueezing transform for enhanced multicomponent signal separation

Scientific Reports
The precise separation of multicomponent signals encounters numerous challenges due to the complexity of signals and widespread interference. Synchrosqueezing Transform (SST) is one of the important technologies for improving the accurate separation of ...
Yangyang Li, Dzati Athiar Ramli
doaj   +1 more source

A Class of Highly Concentrated Time-Frequency Distributions Based on the Ambiguity Domain Representation and Complex-Lag Moment

EURASIP Journal on Advances in Signal Processing, 2009
A class of time-frequency distributions with complex-lag argument is proposed. It is based on the ambiguity domain representations of real and complex-lag moment, combined to provide a cross-terms free representation for multicomponent signals ...
Irena Orović, Srdjan Stanković   +1 more
doaj   +1 more source