Naslov
Spline-Like Chebyshev Polynomial Representation for Compressed Sensing

Autori
Vlašić, Tin ; Ivanković, Jelena ; Seršić, Damir ; Tafro, Azra

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, prošireni sažetak, znanstveni

Izvornik
Abstract Book of Third International Workshop on Data Science (IWDS 2018) / Lončarić, Sven ; Šmuc, Tomislav - Zagreb : Center of Research Excellence for Data Science and Cooperative Systems, Research Unit for Data Science, 2018, 17-19

Skup
3rd International Workshop on Data Science (IWDS 2018)

Mjesto i datum
Zagreb, Hrvatska, 16.10.2018

Vrsta sudjelovanja
Poster

Vrsta recenzije
Domaća recenzija

Ključne riječi
rate of innovation, approximation theory, polynomial representation, optimization problem

Sažetak
Compressive sensing is a technique for signal sampling below the Nyquist rate based on the assumption that the signal is sparse in some transform domain. The acquired signal is already in a compressed form and is appropriate for storage, transmission and processing. In this extended abstract, use of Chebyshev polynomials on intervals for efficient representation of one-dimensional continuous signals is proposed. The obtained parametric model fits into the compressive sensing paradigm and suits the need of the efficient processing of analog data on a digital computer.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo

POVEZANOST RADA