Intensity vector direction exploitation for exhaustive blind source separation of convolutive mixtures

2009-04-19
This article presents a technique that uses the intensity vector direction exploitation (IVDE) method for exhaustive separation of convolutive mixtures. While only a four-element compact sensor array is used, multiple channels for all possible source directions are produced by exhaustive separation. Singular value decomposition (SVD) is then applied to determine the signal subspace and the directions of the local maxima of the signal energy. This information is then used to select the channels containing the individual sources. While the original IVDE method requires the prior knowledge of the directions of sources for separation, the present method eliminates this need and achieves fully blind separation. Performing SVD at a post-processing stage also improves the sound quality. The method has been tested for convolutive mixtures of up to four sources and typical separation performances are given.

Suggestions

Image segmentation based on variational techniques
Altınoklu, Metin Burak; Ünver, Baki Zafer; Department of Electrical and Electronics Engineering (2009)
In this thesis, the image segmentation methods based on the MumfordShah variational approach have been studied. By obtaining an optimum point of the Mumford-Shah functional which is a piecewise smooth approximate image and a set of edge curves, an image can be decomposed into regions. This piecewise smooth approximate image is smooth inside of regions, but it is allowed to be discontinuous region wise. Unfortunately, because of the irregularity of the Mumford Shah functional, it cannot be directly used for ...
Acoustic source separation of convolutive mixtures based on intensity vector statistics
Günel Kılıç, Banu; Hacıhabiboğlu, Hüseyin (2008-05-01)
Various techniques have previously been proposed for the separation of convolutive mixtures. These techniques can be classified as stochastic, adaptive, and deterministic. Stochastic methods are computationally expensive since they require an iterative process for the calculation of the demixing filters based on a separation criterion that usually assumes that the source signals are statistically independent. Adaptive methods, such as the adaptive beamformers, also exploit signal properties in order to opti...
Efficient and broadband guided wave one-way mode-order conversion with theoretical and numerical analysis
Ustun, Kadir; KURT, HAMZA (2013-11-01)
In this article, an efficient method of asymmetric conversion of guided modes is investigated. From a basic excitation consisting of (mainly) the lowest-order mode of the input multimode strip waveguide, we achieve a conversion efficiency of similar to 60% on average, in the forward propagation case, while the backward propagation is suppressed below 10%. The analytical formulation is based on electromagnetic wave theory with orthogonality relations. Affirmative results between the theoretical and numerical...
Contact mechanics of graded materials: Analyses using singular integral equations
Dağ, Serkan (2006-10-18)
Contact stress distribution at an FGM surface is evaluated using an analytical technique based on the singular integral equations. An FGM half-plane is assumed to be in sliding contact with a rigid stamp of an arbitrary profile. The functionally graded medium is assumed to possess two-dimensional material property variations. Two independent nonhomogeneity constants are used to derive the governing partial differential equations. By using the integral transform techniques, all boundary conditions are satisf...
Attitude estimation for nanosatellites ssing Singular value decomposition and unscented kalman filter
Söken, Halil Ersin; Çilden Güler, Demet (null; 2015-07-10)
The singular value decomposition (SVD), one of the single frame attitude estimation methods, is used together with the unscented Kalman filter (UKF) for nanosatellite attitude estimation. The proposed interlaced algorithm estimates the attitude and gyro biases using three attitude sensors onboard, which are magnetometers, sun sensors and gyroscopes. The algorithm uses the SVD method at first to estimate the optimal attitude by minimizing the Wahba's loss function. In the second phase, the UKF takes this inf...
Citation Formats
B. Günel Kılıç and H. Hacıhabiboğlu, “Intensity vector direction exploitation for exhaustive blind source separation of convolutive mixtures,” 2009, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/32510.