Evaluation of Sparsity-based Methods for Parameterized Source Separation

Date

2020-10-07

Author

Baskaya, Hasan Can
Öktem, Sevinç Figen

Metadata

Show full item record

Item Usage Stats

275
views

0
downloads

Parametric reconstruction problems arise in many areas such as array processing, wireless communication, source separation, and spectroscopy. In a parametric recovery problem, the unknown model parameters in each superimposed signal are estimated from noisy observations. Sparsity-based methods used in compressive sensing are also applied to parametric recovery problems. These methods discretize the parameter space to form a dictionary whose atoms correspond to candidate parameter values, represent the data as a linear combination of small number of dictionary atoms, and then solve the resulting linear inverse problem. In this work, we first consider different the sparsity-based methods for parametric recovery problems with multiple measurement vectors. We then analyze and evaluate these methods for the parameterized source separation problem.

Subject Keywords

Parametric reconstruction, Inverse problems, Sparse recovery, Source separation

URI

https://hdl.handle.net/11511/73629
https://ieeexplore.ieee.org/document/9302138/keywords#keywords

DOI

https://doi.org/10.1109/SIU49456.2020.9302138

Conference Name

28th Signal Processing and Communications Applications Conference

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

Evaluation of classical and sparsity-based methods for parametric recovery problems Başkaya, Hasan Can; Öktem, Figen S..; Department of Electrical and Electronics Engineering (2020) Parametric reconstruction problems arise in many areas such as array processing, wireless communication, source separation, and spectroscopy. In a parametric recovery problem, the unknown model parameters in each superimposed signal are estimated from noisy observations. Classical methods perform the recovery over directly on the continuous-valued parameter space by solving a nonlinear inverse problem. Recently sparsity-based methods have also been applied to parametric recovery problems. These methods disc...
Assessment of alternative simulation techniques in nonlinear time history analyses of multi-story frame buildings: A case study Karim Zadeh Naghshineh, Shaghayegh; Askan Gündoğan, Ayşegül; Yakut, Ahmet (2017-07-01) In regions with sparse ground motion data, simulations provide alternative acceleration time series for evaluation of the dynamic response of a structure. Different ground motion simulation methods provide varying levels of goodness of fit between observed and synthetic data. Before using the seismologically acceptable synthetic records for engineering purposes, it is critical to investigate the efficiency of synthetics in predicting observed seismic responses of structures. For this purpose, in this study ...
Approximation of pattern transformation manifolds with parametric dictionaries Vural, Elif (2011-07-12) The construction of low-dimensional models explaining high-dimensional signal observations provides concise and efficient data representations. In this paper, we focus on pattern transformation manifold models generated by in-plane geometric transformations of 2D visual patterns. We propose a method for computing a manifold by building a representative pattern such that its transformation manifold accurately fits a set of given observations. We present a solution for the progressive construction of the repr...
Investigation of tightly coupled arrays for wideband applications Arda, Kaan; Dural Ünver, Mevlüde Gülbin; Department of Electrical and Electronics Engineering (2020-10) This thesis aims to provide in depth research on tightly coupled dipole arrays to be used in ultrawideband apertures applications. First, operation principles of tightly coupled dipole arrays are investigated. Starting from the Wheeler’s current sheet aperture concept, some calculations on bandwidth and impedance concepts are conducted. B.A. Munk’s addition to the concept, use of capacitive elements between adjacent dipoles, are introduced. Array unit cell is modeled using equivalent circuit approach,...
Investigation of effect of design and operating parameters on acoustophoretic particle separation via 3D device-level simulations Sahin, Mehmet Akif; ÇETİN, BARBAROS; Özer, Mehmet Bülent (Springer Science and Business Media LLC, 2019-12-16) In the present study, a 3D device-level numerical model is implemented via finite element method to assess the effects of design and operating parameters on the separation performance of a microscale acoustofluidic device. Elastodynamic equations together with electromechanical coupling at the piezoelectric actuators for the stress field within the solid parts, Helmholtz equation for the acoustic field within fluid, and Navier-Stokes equations for the fluid flow are coupled for the simulations. Once the zer...

Citation Formats

H. C. Baskaya and S. F. Öktem, “Evaluation of Sparsity-based Methods for Parameterized Source Separation,” presented at the 28th Signal Processing and Communications Applications Conference, Türkiye, 2020, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/73629.