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Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 50 for “"Blind source separation"”.
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Efficient Multiband Algorithms for Blind Source Separation
The problem of blind separation refers to recovering original signals, called source signals, from the mixed signals, called observation signals, in a reverberant environment. The mixture is a function of a sequence of original speech signals mixed in a reverberant room. The objective is to …
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Across-frequency processing in convolutive blind source separation
… (chapter 2) yields an adaptive algorithm for the separation of free-field superpositions by imposing constraints on the separating filter. Separation is attained within approx. 0.2s signal time, and moving speakers are separated. The AMDecor algorithm (chapter 3) separates signals in reverberant …
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Optimal Algorithms for Blind Source Separation - Application to Acoustic Echo Cancellation
… In addition, we exploit the idea of blind source separation (BSS) which can estimate source signals using only information about their mixtures observed in each input signal. In addition, we provide a wide theoretical analysis of models and algorithmic aspects of the widely used …
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Blind source separation based on joint diagonalization of matrices with applications in biomedical signal processing
This thesis is concerned with the solution of the blind source separation problem (BSS). The BSS problem occurs frequently in various scientific and technical applications. In essence, it consists in separating meaningful underlying components out of a mixture of a multitude of superimposed …
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Online parameter selection for source separation using non-negative matrix factorization
Blind source separation has been an area of study recently due to the many applications that might benefit from a good blind source separation algo- rithm. One instance is using blind source separation for audio denoising in cellular phones. In almost all instances, we have very little, if any, …
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Adaptive Beamforming using ICA for Target Identification in Noisy Environments
The blind source separation problem has received a great deal of attention in previous years. The aim of this problem is to estimate a set of original source signals from a set of linearly mixed signals through any number of signal processing techniques. While many methods exist that attempt to …
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Comparison of Machine Learning-Based Methods for Narrowband Blind Adaptive Beamforming
… is normally found via array calibration. Blind source separation methods do not require this information and therefore are more robust to array calibration errors. Traditional blind source separation methods generally leverage some intrinsic characteristic of the signal, such as constant …
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Blind separation of noisy multivariate data using second-order statistics
A second-order method for blind source separation of noisy instantaneous linear mixtures is presented and analyzed for the case where the signal order k and noise covariance GG-H are unknown. Only a data set X of dimension n > k and of sample size m is observed, where X = AP + GW. The quality of …
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Approximate credibility intervals on electromyographic decomposition algorithms within a Bayesian framework
… component analysis with electromyographic data. Blind source separation (BSS) algorithms, such as independent component analysis (ICA), are often used to solve the inverse problem arising when, for example, attempting to retrieve the activation patterns of motor units (MUs) from electromyographic …
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Estimating output torque via amplitude estimation and neural drive : a high-density sEMG study
… with an HDsEMG grid, and to take an existing blind source separation algorithm for HDsEMG decomposition and modify it in order to decompose a nonisometric contraction.
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Improving Signal Clarity through Interference Suppression and Emergent Signal Detection
… variety of fields; especially in sonar, acoustic source monitoring and localization, telecommunications, and diagnostic medicine. The goal of most of these applications is to detect or extract a signal of interest. This task is complicated by the presence of interferers and noise, which corrupts …
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Object-based audio capture : separating acoustically-mixed sounds
… can recognize and isolate individual sound sources, or audio objects, from an environment containing several sounds. The main contribution of this work is the application of object-based audio capture to unconstrained real-world environments. Several potential applications for object-based …
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Uma investigação sobre métodos de separação cega de fontes sonoras envolvendo representações não-negativas e diversidade espacial
The problem of blind source separation finds many applications across different areas, thus justifying the ever increasing number of works in this topic. This work focuses on studying this problem for sound sources, employing non-negative signals’ representations, while also taking advantage of the …
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A study on the application of independent component analysis to \(in vivo\) \(^1\)H magnetic resonance spectra of childhood brain tumours for data processing
… methods. The two approaches for applying ICA, blind source separation (BSS) and feature extraction (FE), are thoroughly examined. A feature dimension selection method, which has not been adequately addressed, is proposed to set a theoretical guideline for ICA dimension reduction. Since the …
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EMG methods for prosthesis ankle-subtalar free-space control
… respectively. They are 1. A non-negative blind source separation algorithm named non-negative orthogonal decomposition(NOD). This algorithm aims to replace non-negative matrix factorization(NMF) for muscle motion base extraction. NOD recovers the source signal by finding the borders of the …
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Sparse separation of sources in 3D soundscapes
A novel blind source separation algorithm applicable to extracting sources from within 3D soundscapes is presented. The algorithm is based on constructing a binary mask based on directional information. The validity of filtering using binary masked based on the ω-disjoint assumption is examined for …
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Techniques for robust source separation and localization in adverse environments: Issues and performance of a new framework of emerging techniques for frequency-domain convolutive blind/semi-blind separation and localization of acoustic sources
Acoustic source separation is a relatively recent topic of signal processing which aims to simultaneously separate many acoustic sources recorded through one or more microphones. Such a problem was formulated to emulate the natural capability of the human auditory system which is able to recognize …
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Mapping the Spatial and Temporal Dynamics of Sensorimotor Integration During the Perception and Performance of Wallowing
… compromise. Recent advances in EEG analysis blind source separation techniques via independent component analysis offer a novel and exciting opportunity to measure cortical sensorimotor activity in realtime during swallowing, concurrently with muscle activity during swallow initiation. In the …
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Motion artifact reduction of electrocardiograms using multiple motion sensors
… within the heart. There are a number of sources of noise that can corrupt the ECG signal, the most problematic being that of motion artifacts. As an individual wearing a surface ECG moves, their movements will add noise to the signal. This noise is particularly difficult to remove, as it …
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A Comparison of ICA versus genetic algorithm optimized ICA for use in non-invasive muscle tissue EMG
… surface Electromyography (sEMG) electrodes and a Blind Source Separation algorithm. This concept was then proved by Morowasi and John [2] in a 12 electrode prototype system around the bicep. This proof of concept showed that it was possible to extract the deep tissue activity of the brachialis …
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