تصفح حسب الموضوع "Time frequency analysis"
السجلات المعروضة 1 -- 13 من 13
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A passive DSP approach to fetal movement detection for monitoring fetal health
(2012 , Conference Paper)Fetal movement can help clinicians understand fetal functional development. Active methods for fetal monitoring such as ultrasound are expensive and there are objections to their long term usage. This paper presents a ... -
A review of time-frequency matched filter design with application to seizure detection in multichannel newborn EEG
( Elsevier Inc. , 2014 , Article)This paper presents a novel design of a time-frequency (t-f) matched filter as a solution to the problem of detecting a non-stationary signal in the presence of additive noise, for application to the detection of newborn ... -
Analysis of the time-varying cortical neural connectivity in the newborn EEG: A time-frequency approach
( IEEE , 2011 , Conference Paper)Relationships between cortical neural recordings as a representation of functional connectivity between cortical brain regions were quantified using different time-frequency criteria. Among these, Partial Directed Coherence ... -
Automatic signal abnormality detection using time-frequency features and machine learning: A newborn EEG seizure case study
( Elsevier B.V. , 2016 , Article)Time-frequency (TF) based machine learning methodologies can improve the design of classification systems for non-stationary signals. Using selected TF distributions (TFDs), TF feature extraction is performed on multi-channel ... -
An automatic time-frequency procedure for interference suppression by exploiting their geometrical features
( IEEE , 2011 , Conference Paper)This paper presents an adaptive method for interference suppression in the Wigner-Ville distribution. The structure of the artifacts in the Wigner-Ville distribution has been analyzed to optimally mask the signal Wigner-Ville ... -
Design of a high-resolution separable-kernel quadratic TFD for improving newborn health outcomes using fetal movement detection
(2012 , Conference Paper)Prior to birth, fetus health can be monitored by the variety and scale of its movements. In addition, at birth, EEG signals are recorded from at-risk newborns. Studies have shown that both fetal movements and newborn EEGs ... -
Efficient phase estimation for the classification of digitally phase modulated signals using the cross-WVD: A performance evaluation and comparison with the S-transform
(2012 , Article)This article presents a novel algorithm based on the cross-Wigner-Ville Distribution (XWVD) for optimum phase estimation within the class of phase shift keying signals. The proposed method is a special case of the genera ... -
Generalised phase synchrony within multivariate signals: An emerging concept in time-frequency analysis
(2012 , Conference Paper)This paper introduces the notion of the instantaneous frequency (IF) based generalized phase synchrony in time-frequency analysis based on the concept of cointegration. This phase synchrony is then quantified by investigating ... -
On the selection of time-frequency features for improving the detection and classification of newborn EEG seizure signals and other abnormalities
(2012 , Conference Paper)This paper presents new time-frequency features for seizure detection in newborn EEG signals. These features are obtained by translating some relevant time features or frequency features to the joint time-frequency domain. ... -
Sleep stage classification using sparse rational decomposition of single channel EEG records
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)A sparse representation of ID signals is proposed based on time-frequency analysis using Generalized Rational Discrete Short Time Fourier Transform (RDSTFT). First, the signal is decomposed into a set of frequency sub-bands ... -
Time frequency analysis of the commonalities between Bitcoin and major Cryptocurrencies: Portfolio risk management implications
( Elsevier Inc. , 2019 , Article)This paper uses wavelet coherence and cross wavelet transform approaches to examine co-movement between Bitcoin and five major cryptocurrencies (Dash, Ethereum, Litecoin, Monero and Ripple) and their portfolio risk ... -
Time-frequency analysis of heart rate variability in neonatal piglets exposed to hypoxia
(2011 , Conference Paper)To determine whether the sympathetic nervous system plays any role in the inter-individual variation of cardiovascular response to hypoxia in newborns, neonatal heart rate variability (HRV) analysis was used to assess ... -
Time-frequency compressed spectrum sensing in cognitive radios
( Institute of Electrical and Electronics Engineers Inc. , 2013 , Conference Paper)In this paper, we investigate the use of time-frequency analysis for improvement of spectrum sensing in cognitive radios and exploit compressed sensing (sampling) to reduce the extremely high sampling rate of signal in ...