Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Soto-Quiros, Pablo"'
Autor:
Soto-Quiros, Pablo, Torokhti, Anatoli
In terms of signal samples, we propose and justify a new rank reduced multi-term transform, abbreviated as MTT, which, under certain conditions, may provide better-associated accuracy than that of known optimal rank reduced transforms. The basic idea
Externí odkaz:
http://arxiv.org/abs/2111.05775
We study the problem of multi-compression and reconstructing a stochastic signal observed by several independent sensors (or compressors) that transmit compressed information to a fusion center. { The key aspect of this problem is to find models of t
Externí odkaz:
http://arxiv.org/abs/2111.03614
Autor:
Soto-Quiros, Pablo, Torokhti, Anatoli
Principal Component Analysis (PCA) is a transform for finding the principal components (PCs) that represent features of random data. PCA also provides a reconstruction of the PCs to the original data. We consider an extension of PCA which allows us t
Externí odkaz:
http://arxiv.org/abs/2111.03040
Autor:
Soto-Quiros, Pablo, Torokhti, Anatoli
Publikováno v:
In Journal of Computational and Applied Mathematics 1 October 2024 448
Autor:
Torokhti, Anatoli1 anatoli.torokhti@unisa.edu.au, Soto-Quiros, Pablo2 jusoto@tec.ac.cr
Publikováno v:
Proyecciones - Journal of Mathematics. Feb2024, Vol. 43 Issue 1, p189-224. 36p.
Autor:
Soto-Quiros, Pablo
Publikováno v:
In Results in Applied Mathematics May 2023 18
Autor:
Torokhti, Anatoli, Soto-Quiros, Pablo
While the theory of operator approximation with any given accuracy is well elaborated, the theory of {best constrained} constructive operator approximation is still not so well developed. Despite increasing demands from applications this subject is h
Externí odkaz:
http://arxiv.org/abs/1811.03125
Publikováno v:
In Journal of Computational and Applied Mathematics February 2022 401
Publikováno v:
In Applied Mathematics and Computation 15 November 2021 409
We consider the case when a set of spatially distributed sensors make local observations which are noisy versions of a signal of interest. Each sensor transmits compressed information about its measurements to the fusion center which should recover t
Externí odkaz:
http://arxiv.org/abs/1508.04514