Search Results - "GORODNITSKY, I.F."
-
1
Sparse signal reconstruction from limited data using FOCUSS: a re-weighted minimum norm algorithm
Published in IEEE transactions on signal processing (01-03-1997)“…We present a nonparametric algorithm for finding localized energy solutions from limited data. The problem we address is underdetermined, and no prior…”
Get full text
Journal Article -
2
Variability in AC amplifier distortions: Estimation and correction
Published in Psychophysiology (01-09-2002)“…AC amplifiers can introduce significant distortions into the low frequency and DC components of recorded electrophysiological data such as event‐related…”
Get full text
Journal Article -
3
Variability in AC amplifier distortions: Estimation and correction
Published in Psychophysiology (01-09-2002)“…AC amplifiers can introduce significant distortions into the low frequency and DC components of recorded electrophysiological data such as event-related…”
Get full text
Journal Article -
4
An extension of an interior-point method for entropy minimization
Published in 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258) (1999)“…Entropy optimization is used in signal compression, coding, estimation, and resource scheduling, among other applications. The paper presents a novel algorithm…”
Get full text
Conference Proceeding
-
5
A low-level cortical perception model with applications to image analysis
Published in Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101) (2000)“…We describe a mathematical model of low-level biological vision based on two recent neurophysiological findings regarding rapid adaptation and response in…”
Get full text
Conference Proceeding -
6
Affine scaling transformation based methods for computing low complexity sparse solutions
Published in 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings (1996)“…This paper presents affine scaling transformation based methods for finding low complexity sparse solutions to optimization problems. The methods achieve…”
Get full text
Conference Proceeding -
7
Fast algorithms for regularized minimum norm solutions to inverse problems
Published in Conference Record of The Thirtieth Asilomar Conference on Signals, Systems and Computers (1996)“…The computational cost of solving biomedical inverse problems is extremely high. As a result, expensive high end computational platforms are required for…”
Get full text
Conference Proceeding -
8
Analysis of error produced by truncated SVD and Tikhonov regularization methods
Published in Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers (1994)“…The paper considers regularization of inverse solutions to linear problems. We derive the relationship between the error due to regularization and the energy…”
Get full text
Conference Proceeding -
9
A recursive weighted minimum norm algorithm: Analysis and applications
Published in 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing (1993)“…Reliable estimation of a highly localized signal from insufficient data is a difficult problem common to many fields. The authors present an iterative weighted…”
Get full text
Conference Proceeding -
10
Source localization in magnetoencephalography using an iterative weighted minimum norm algorithm
Published in [1992] Conference Record of the Twenty-Sixth Asilomar Conference on Signals, Systems & Computers (1992)“…Imaging of brain activity based on magnetoencephalography (MEG) requires high-resolution estimates that closely approximate the spatial distribution of the…”
Get full text
Conference Proceeding -
11
Convergence analysis of a class of adaptive weighted norm extrapolation algorithms
Published in 27th Asilomar Conference on Signals, Systems, and Computers (1993)“…Adaptive weighted norm extrapolation algorithms can provide superior performance for estimation of sparse signals from limited data. We present theoretical…”
Get full text
Conference Proceeding Journal Article -
12
A new iterative weighted norm minimization algorithm and its applications
Published in [1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing (1992)“…A general class of linear inverse problems in which the solutions are sparse and localized is considered. The proposed algorithm is a nonparametric approach…”
Get full text
Conference Proceeding -
13
Truncated Total Least Squares Regularization Underdetermined Problems
Published in IEEE Seventh SP Workshop on Statistical Signal and Array Processing (1994)Get full text
Conference Proceeding -
14
A novel recurrent network for signal processing
Published in Neural Networks for Signal Processing III - Proceedings of the 1993 IEEE-SP Workshop (1993)“…A new recurrent network is developed for the signal processing applications of spectral estimation, direction of arrival estimation, and pattern…”
Get full text
Conference Proceeding