[CITATION][C] Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications
A Cichocki - John Wiley & Sons google schola, 2002 - books.google.com
With solid theoretical foundations and numerous potential applications, Blind Signal
Processing (BSP) is one of the hottest emerging areas in Signal Processing. This volume …
Processing (BSP) is one of the hottest emerging areas in Signal Processing. This volume …
Refractivity estimation from sea clutter: An invited review
Non-standard radio wave propagation in the atmosphere is caused by anomalous changes
of the atmospheric refractivity index. In recent years, refractivity from clutter (RFC) has been …
of the atmospheric refractivity index. In recent years, refractivity from clutter (RFC) has been …
Optimal low-rank approximations of Bayesian linear inverse problems
In the Bayesian approach to inverse problems, data are often informative, relative to the
prior, only on a low-dimensional subspace of the parameter space. Significant …
prior, only on a low-dimensional subspace of the parameter space. Significant …
[HTML][HTML] Bayesian inference of the spatial distribution of steel corrosion in reinforced concrete structures using corrosion-induced crack width
S Jia, M Akiyama, DM Frangopol, Z Xu - Structural Safety, 2024 - Elsevier
Observations of corrosion-induced crack widths offer crucial information about the corrosion
states of steel reinforcements in reinforced concrete (RC) structures, enabling a cost …
states of steel reinforcements in reinforced concrete (RC) structures, enabling a cost …
Optimal reduced-rank estimation and filtering
This paper provides a unified view of, and a further insight into, a class of optimal reduced-
rank estimators and filters. An alternating power (AP) method for computing the optimal …
rank estimators and filters. An alternating power (AP) method for computing the optimal …
[BOOK][B] Discrete cosine transform
H Ochoa-Dominguez, KR Rao - 2019 - taylorfrancis.com
Many new DCT-like transforms have been proposed since the first edition of this book. For
example, the integer DCT that yields integer transform coefficients, the directional DCT to …
example, the integer DCT that yields integer transform coefficients, the directional DCT to …
Fusion and classification of SAR and optical data using multi-image color components with differential gradients
This paper proposes a gradient-based data fusion and classification approach for Synthetic
Aperture Radar (SAR) and optical image. This method is used to intuitively reflect the …
Aperture Radar (SAR) and optical image. This method is used to intuitively reflect the …
Generalized rank-constrained matrix approximations
S Friedland, A Torokhti - SIAM Journal on Matrix Analysis and Applications, 2007 - SIAM
Generalized Rank-Constrained Matrix Approximations Page 1 SIAM J. MATRIX ANAL. APPL. c
2007 Society for Industrial and Applied Mathematics Vol. 29, No. 2, pp. 656–659 …
2007 Society for Industrial and Applied Mathematics Vol. 29, No. 2, pp. 656–659 …
Partial discharge localization in power transformers using neuro-fuzzy technique
M Homaei, SM Moosavian… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
Partial discharge (PD) is the most common sources of insulation failure in power
transformers. The most important tools for quality assessment of power transformers are PD …
transformers. The most important tools for quality assessment of power transformers are PD …
Feature selection using singular value decomposition and QR factorization with column pivoting for text-independent speaker identification
Selection of features is one of the important tasks in the application like Speaker
Identification (SI) and other pattern recognition problems. When multiple features are …
Identification (SI) and other pattern recognition problems. When multiple features are …