2 citations · 2 across the 5 of their papers we have counts for
5 papers
Data Compression: Multi-Term Approach
Pablo Soto-Quiros, Anatoli Torokhti
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 accur…
Second Degree Model for Multi-Compression and Recovery of Distributed Signals
Pablo Soto-Quiros, Anatoli Torokhti, Stanley J. Miklavcic
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…
Extended Principal Component Analysis
Pablo Soto-Quiros, Anatoli Torokhti
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 t…
Best approximations of non-linear mappings: Method of optimal injections
Anatoli Torokhti, Pablo Soto-Quiros
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 dev…
Compression and Recovery of Distributed Random Signals
Alex Grant, Anatoli Torokhti, Pablo Soto-Quiros
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 informat…