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Showing 1 to 20 of 101 for “"Source separation"”.
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Source Separation using Sparse Bayesian Learning
Wireless communication in recent decades has allowed for a substantial increase in both the speed and capacity of information which may be transmitted over large distances. However, given the expanding societal needs coupled with a finite available spectrum, the question arises of how to increase …
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Information theoretic approaches to source separation
Thesis (M.S.)--Massachusetts Institute of Technology, Program in Media Arts & Sciences, 1997.
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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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Bayesian Methods for Source Separation in Magnetoencephalography
… brain imaging modality which localizes the sources of electrical activity within the brain based on measurements of the induced magnetic field outside the head. It has a variety of clinical applications; in particular, when a patient suffering from focal epilepsy is not responsive to drug …
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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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Demonstration and evaluation of co-channel DBPSK source separation
… a Differential Binary Phase Shift Key (DBPSK) source separation system implemented with the GNU Software Defined Radio (SDR) platform and interfaced with the existing MIT community Radio Frequency Identification (RFID) system. Source separation, well studied in the theoretical signal processing …
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Phase difference and tensor factorization models for audio source separation
Made available in DSpace on 2017-03-01T15:46:01Z (GMT). No. of bitstreams: 2 TRAA-DISSERTATION-2016.pdf: 12461339 bytes, checksum: aeab068ca641be012f3b6c8b1f19d354 (MD5) LICENSE.txt: 4210 bytes, checksum: 63ac2ac06dfd739a5099ea28ac00e136 (MD5) Previous issue date: 2016-10-10
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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 adaptive …
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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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Exploiting spatial and spectral information for audio source separation and speaker diarization
The goal of multichannel audio source separation is to produce high quality separated audio signals, observing mixtures of these signals. The difficulty of tackling the problem comes from not only the source propagation through noisy and echoing environments, but also overlapped source signals. …
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Multichannel source separation and tracking with phase differences by random sample consensus
Blind audio source separation (BASS) is a fascinating problem that has been tackled from many different angles. The use case of interest in this thesis is that of multiple moving and simultaneously-active speakers in a reverberant room. This is a common situation, for example, in social gatherings. …
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Combined-channel instantaneous frequency analysis for audio source separation based on comodulation
… of interest and to block out competing sound sources. Individuals with hearing impairments, on the other hand, often experience great difficulty in noisy environments. The goal of our research is to develop novel signal processing methods inspired by neural auditory processing that can improve …
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Improving Impulse Audio Source Separation using Generative Adversarial Networks for Phase Generation
… An evaluation of current techniques in source separation, such as matrix demixing methods (Independent Component Analysis, Independent Vector Analysis), and masking methods (Ideal Ratio Mask, Ideal Binary Mask), amongst others, concluded that Time-Frequency masking of the noisy signal …
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Feasibility of Passive Acoustic Detection of Coronary Artery Disease Utilizing Source Separation
Coronary artery disease (CAD) remains the leading cause of death in both the United States and the world at large. This is primarily due to the extreme difficulty associated with preemptive diagnosis of CAD. Currently, only about 20% of all patients are diagnosed with CAD prior to the occurrence of …
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Life cycle assessment of conventional and source separation systems for urban wastewater management
… ermöglichen so die Rückgewinnung wertvoller Ressourcen (Energie, Nährstoffe) aus dem Abwasser. Daher werden sie allgemein als nachhaltiger im Vergleich zum konventionellen System der gemeinsamen Erfassung und Behandlung erachtet. Diese Hypothese wird in der vorliegenden Arbeit überprüft, indem …
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An iterative, residual-based approach to unsupervised musical source separation in single-channel mixtures
… problem within audio signal processing, the separation of source signals from musical mixtures when only a single mixture channel is available. Source separation is the process by which signals that correspond to distinct sources are identified in a signal mixture and extracted from it. …
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Blind source separation based on joint diagonalization of matrices with applications in biomedical signal processing
… 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 signals. In …
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An investigation of the utility of monaural sound source separation via nonnegative matrix factorization applied to acoustic echo and reverberation mitigation for hands-free telephony
… the applicability and utility of Monaural Sound Source Separation (MSSS) via Nonnegative Matrix Factorization (NMF) for various problems related to audio for hands-free telephony. We first investigate MSSS via NMF as an alternative acoustic echo reduction approach to existing approaches such as …
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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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Estimating uncertainty models for speech source localization in real-world environments
… improved solutions to the problems of audio source localization and speech source separation in real reverberant environments. For source localization, it develops a new time- and frequency-dependent weighting function for the generalized cross-correlation framework for time delay estimation. …
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