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Now showing items 11-20 of 47
Estimating the number of components of a multicomponent nonstationary signal using the short-term time-frequency Rényi entropy
(
Springer
, 2011 , Article)
The time-frequency Rényi entropy provides a measure of complexity of a nonstationary multicomponent signal in the time-frequency plane. When the complexity of a signal corresponds to the number of its components, then this ...
Effective implementation of time–frequency matched filter with adapted pre and postprocessing for data-dependent detection of newborn seizures
(
Elsevier
, 2013 , Article)
Neonatal EEG seizures often manifest as nonstationary and multicomponent signals, necessitating analysis in the time–frequency (TF) domain. This paper presents a novel neonatal seizure detector based on effective implementation ...
Accurate and efficient implementation of the time–frequency matched filter
(
Institution of Engineering and Technology
, 2010 , Article)
The discrete time-frequency matched filter should replicate the continuoustime-frequency matched filter, but the methods differ. To avoid aliasing, thediscrete method transforms the real-valued signal to the complex-valued ...
Analysis of local time-frequency entropy features for nonstationary signal components time supports detection
(
Elsevier Inc.
, 2014 , Article)
Identification of different specific signal components, produced by one or more sources, is a problem encountered in many signal processing applications. This can be done by applying the local time-frequency-based Rényi ...
Measuring time-varying information flow in scalp EEG signals: Orthogonalized partial directed coherence
(
IEEE
, 2014 , Article)
This study aimed to develop a time-frequency method for measuring directional interactions over time and frequency from scalp-recorded electroencephalographic (EEG) signals in a way that is less affected by volume conduction ...
Automated detection of perinatal hypoxia using time-frequency-based heart rate variability features
(
Springer Berlin Heidelberg
, 2014 , Article)
Perinatal hypoxia is a cause of cerebral injury in foetuses and neonates. Detection of foetal hypoxia during labour based on the pattern recognition of heart rate signals suffers from high observer variability and low ...
Editorial: Time frequency and array processing of non-stationary signals
(
Springer
, 2012 , Article)
Conventional time-frequency analysis methods were extended to data arrays in many applications, and there is the potential for more synergistic development of new advanced tools by exploiting the joint properties of ...
Fast and memory-efficient algorithms for computing quadratic time–frequency distributions
(
Elsevier Inc
, 2013 , Article)
Algorithms for computing time–frequency distributions (TFDs) limit computation time by reducing numerical operations. But these fast algorithms do not reduce the memory load. This article presents four TFD algorithms to ...
A nonparametric feature for neonatal EEG seizure detection based on a representation of pseudo-periodicity
(
Elsevier Ltd
, 2011 , Article)
Automated methods of neonatal EEG seizure detection attempt to highlight the evolving, stereotypical, pseudo-periodic, nature of EEG seizure while rejecting the nonstationary, modulated, coloured stochastic background in ...
Editorial: Time-Frequency Approach to Radar Detection, Imaging, and Classification
(
Institution of Engineering and Technology
, 2010 , Article)
One of the central problems in exploiting the radar data is the analysis of atime series. The problem at hand is how to extract the information present in the data and use it to its full potential. Traditionally, radar ...