Results 21 to 30 of about 44,503 (183)
Singular value decomposition applied to compact binary coalescence gravitational-wave signals [PDF]
, 2010 We investigate the application of the singular value decomposition to compact-binary, gravitational-wave data-analysis. We find that the truncated singular value decomposition reduces the number of filters required to analyze a given region of parameter ...
Adrian Chapman +7 more
core +2 more sources
Robust Parameter Estimation of an Empirical Manoeuvring Model Using Free-Running Model Tests
Journal of Marine Science and Engineering, 2021 The work presents the identification and validation of the hydrodynamic coefficients for the surge, sway, and yaw motion. This is performed in two ways: using simulated data and free-running test data.
Ana Catarina Costa +2 more
doaj +1 more source
Early stopping for statistical inverse problems via truncated SVD estimation [PDF]
, 2018 We consider truncated SVD (or spectral cut-off, projection) estimators for a prototypical statistical inverse problem in dimension $D$. Since calculating the singular value decomposition (SVD) only for the largest singular values is much less costly than
Blanchard, Gilles +2 more
core +4 more sources
OptShrink: An algorithm for improved low-rank signal matrix denoising by optimal, data-driven singular value shrinkage [PDF]
, 2014 The truncated singular value decomposition (SVD) of the measurement matrix is the optimal solution to the_representation_ problem of how to best approximate a noisy measurement matrix using a low-rank matrix.
Nadakuditi, Raj Rao
core +1 more source
Perturbation expansions and error bounds for the truncated singular value decomposition [PDF]
Linear Algebra and its Applications, 2021 Accepted to Linear Algebra and Its ...
Trung Vu +2 more
openaire +3 more sources
IEEE Photonics Journal, 2023 Currently, the engineering of miniature spectrometers mainly faces three problems: the mismatch between the number of filters at the front end of the detector and the spectral reconstruction accuracy; the lack of a stable spectral reconstruction ...
Jiakun Zhang +3 more
doaj +1 more source
New Parametric Imaging Method with Fluorescein Angiograms for Detecting Areas of Capillary Nonperfusion [PDF]
Healthcare Informatics Research, 2014 ObjectivesFluorescein angiography (FAG) is currently the most useful diagnostic modality for examining retinal circulation, and it is frequently used for the evaluation of patients with diabetic retinopathy, occlusive diseases, such as retinal venous and
Young Jae Kim +5 more
doaj +1 more source
Truncated singular value decomposition for through‐the‐wall microwave imaging application [PDF]
IET Microwaves, Antennas & Propagation, 2020 We considered differential through‐the‐wall microwave imaging with different formulations of truncated singular value decomposition (TSVD) method with a non‐anechoic experiment. Previous studies employ TSVD with single transmitting/measuring antenna, while we show how to apply the TSVD in case of a moving linear transmitting/measuring antenna array ...
Semih Doğu +3 more
openaire +1 more source
Compressed Passive Macromodeling [PDF]
, 2012 This paper presents an approach for the extraction of passive macromodels of large-scale interconnects from their frequency-domain scattering responses. Here, large scale is intended both in terms of number of electrical ports and required dynamic model ...
Grivet-Talocia, S. +1 more
core +1 more source
Sensors, 2023 Addressing insufficient and irregular sampling is a difficult challenge in seismic processing and imaging. Recently, rank reduction methods have become popular in seismic processing algorithms for simultaneous denoising and interpolating.
Farzaneh Bayati, Daniel Trad
doaj +1 more source