Listando por materia "Tractament del senyal"
Mostrando ítems 1-20 de 33
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A Canonical Genetic Algorithm for Blind Inversion of Linear Channels
(2006)It is well known the relationship between source separation and blind deconvolution: If a filtered version of an unknown i.i.d. signal is observed, temporal independence between samples can be used ... -
A green’s function-based Bi-dimensional empirical mode decomposition
(2016)Bidimensional Empirical Mode Decomposition (BEMD) interprets an image as a superposition of Bidimensional Intrinsic Mode Functions (BIMFs). They are extracted by a process called sifting, which encompasses ... -
A recursive approach to Multiscalar Data Interpolation of sparsely sampled sea surface measurements at different spatial resolutions
(2008)Abstract- In many oceanographic studies there is a need to reconstruct a signal from a set of sparse measurements. We propose an algorithm to iteratively approximate the intermediate values between ... -
A Simple Approximation for Fast Nonlinear Deconvolution
(2011)When dealing with nonlinear blind deconvolution, complex mathematical estimations must be done giving as a result very slow algorithms. This is the case, for example, in speech processing or in microarray ... -
Blind channel deconvolution of real world signals using source separation techniques
(2005)In this paper we present a method for blind deconvolution of linear channels based on source separation techniques, for real word signals. This technique applied to blind deconvolution problems is ... -
Blind Inversion of Wiener System using a minimization-projection (MP) approach
(2003)In this paper, a new algorithm for blind inversion of Wiener systems is presented. The algorithm is based on minimization of mutual information of the output samples. This minimization is done through ... -
Blind Inversion of Wiener Systems
(1999)A system in which a linear dynamic part is followed by a non linear memoryless distortion a Wiener system is blindly inverted This kind of systems can be modelised as a postnonlinear mixture and ... -
Bump time-frequency toolbox: a toolbox for time-frequency oscillatory bursts extraction in electrophysiological signals
(2009)Background: oscillatory activity, which can be separated in background and oscillatory burst pattern activities, is supposed to be representative of local synchronies of neural assemblies. Oscillatory ... -
Coarse frequency estimation in ofdm packet oriented systems
(2001)In this paper we derive a fast blind coarse frequency offset estimator for OFDM systems in selective frequency channels. The estimator takes advantage of the strong structure of the OFDM signal. In ... -
Diagnosis of Alzheimer’s Disease from EEG by Means of Synchrony Measures in Optimized Frequency Bands
(2012)Several clinical studies have reported that EEG synchrony is affected by Alzheimer’s disease (AD). In this paper a frequency band analysis of AD EEG signals is presented, with the aim of improving the ... -
Differences of Functional Connectivity Brain Network in Emotional Judgment
(2013)Using combined emotional stimuli, combining photos of faces and recording of voices, we investigated the neural dynamics of emotional judgment using scalp EEG recordings. Stimuli could be either combioned ... -
EEG based user recognition using BUMP modelling
(2013)In this paper the use of electroencephalogram (EEG) as biometric identifier is investigated. The use of EEG within the biometric framework has already been introduced in the recent past although it has ... -
EEG windowed statistical wavelet scoring for evaluation and discrimination of muscular artifacts
(2008)EEG recordings are usually corrupted by spurious extra-cerebral artifacts, which should be rejected or cleaned up by the practitioner. Since manual screening of human EEGs is inherently error prone ... -
EEG Windowed statitical wavelet deviation for estimation of muscular artifacts
(2007)Electroencephalographic (EEG) recordings are, most of the times, corrupted by spurious artifacts, which should be rejected or cleaned by the practitioner. As human scalp EEG screening is error-prone, ... -
Eliminació d'artefactes en EGG mitjançant l'ús de la Multivariate Empirical Mode Decomposition
(2011-09-23)La tècnica de l’electroencefalograma (EEG) és una de les tècniques més utilitzades per estudiar el cervell. En aquesta tècnica s’enregistren els senyals elèctrics que es produeixen en el còrtex humà ... -
An Evolutionary Approach for Blind Inversion of Wiener Systems
(2007)The problem of blind inversion of Wiener systems can be considered as a special case of blind separation of post-nonlinear instantaneous mixtures. In this paper, we present an approach for nonlinear ... -
A Fast Gradient Approximation for Nonlinear Blind Signal Processing
(2013)When dealing with nonlinear blind processing algorithms (deconvolution or post-nonlinear source separation), complex mathematical estimations must be done giving as a result very slow algorithms. This ... -
A Gradient based algorithm for blind inversion of Wiener System using multi-variate score functions
(2003)A Wiener system is a linear time-invariant filter, followed by an invertible nonlinear distortion. Assuming that the input signal is an independent and identically distributed (iid) sequence, we ... -
Heartbeat classification using a deep neural network
(2018)As we age the cardiovascular system weakens and is more prone to cardiovascular diseases. Those cause arrhythmia, which is an abnormal heartbeat rhythm that can be life-threatening. An electrocardiogram ...