Two-Dimensional Forward Polynomial Predictors

Corneliu Rusu; Jaakko Astola

doi:10.1109/ISSCS52333.2021.9497430

Two-Dimensional Forward Polynomial Predictors

Corneliu Rusu
, Jaakko Astola

Tietotekniikka

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

1 Sitaatiot (Scopus)

Abstrakti

Recently, two-dimensional polynomial predictors have been introduced. Some of their properties have been presented when simultaneous predictions in both directions are involved. In this paper we discuss some properties of twodimensional polynomial predictors when only one-way prediction is taken into account. We show that its behavior is similar to one-dimensional polynomial predictors. We also present how oneway prediction can be used to obtain prediction in almost any direction and that the results are not always a two-dimensional polynomial predictor of minimum area.

Alkuperäiskieli	Englanti
Otsikko	ISSCS 2021 - International Symposium on Signals, Circuits and Systems
Kustantaja	IEEE
Sivumäärä	4
ISBN (elektroninen)	9781665449427
DOI - pysyväislinkit	https://doi.org/10.1109/ISSCS52333.2021.9497430
Tila	Julkaistu - 2021
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	International Symposium on Signals, Circuits and Systems - , Romania Kesto: 15 heinäk. 2021 → 16 heinäk. 2021

Julkaisusarja

Nimi	ISSCS 2021 - International Symposium on Signals, Circuits and Systems

Conference

Conference	International Symposium on Signals, Circuits and Systems
Maa/Alue	Romania
Ajanjakso	15/07/21 → 16/07/21

Rahoitus

ACKNOWLEDGMENT The work of first author was supported by a grant of the Romanian Ministry of Research and Innovation, CCCDI -UEFISCDI, project number 52/2020, PN-III-P2-2.1-PTE-2019-0867, within PNCDI III.

Julkaisufoorumi-taso

Jufo-taso 1

!!ASJC Scopus subject areas

Electrical and Electronic Engineering
Instrumentation
Computer Networks and Communications
Signal Processing

Pääsy asiakirjaan

10.1109/ISSCS52333.2021.9497430

Siteeraa tätä

@inproceedings{ddd4e25f0a714ffba114873253cd511d,

title = "Two-Dimensional Forward Polynomial Predictors",

abstract = "Recently, two-dimensional polynomial predictors have been introduced. Some of their properties have been presented when simultaneous predictions in both directions are involved. In this paper we discuss some properties of twodimensional polynomial predictors when only one-way prediction is taken into account. We show that its behavior is similar to one-dimensional polynomial predictors. We also present how oneway prediction can be used to obtain prediction in almost any direction and that the results are not always a two-dimensional polynomial predictor of minimum area.",

author = "Corneliu Rusu and Jaakko Astola",

note = "Funding Information: ACKNOWLEDGMENT The work of first author was supported by a grant of the Romanian Ministry of Research and Innovation, CCCDI -UEFISCDI, project number 52/2020, PN-III-P2-2.1-PTE-2019-0867, within PNCDI III. Publisher Copyright: {\textcopyright} 2021 IEEE.; International Symposium on Signals, Circuits and Systems ; Conference date: 15-07-2021 Through 16-07-2021",

year = "2021",

doi = "10.1109/ISSCS52333.2021.9497430",

language = "English",

series = "ISSCS 2021 - International Symposium on Signals, Circuits and Systems",

publisher = "IEEE",

booktitle = "ISSCS 2021 - International Symposium on Signals, Circuits and Systems",

address = "United States",

}

TY - GEN

T1 - Two-Dimensional Forward Polynomial Predictors

AU - Rusu, Corneliu

AU - Astola, Jaakko

N1 - Funding Information: ACKNOWLEDGMENT The work of first author was supported by a grant of the Romanian Ministry of Research and Innovation, CCCDI -UEFISCDI, project number 52/2020, PN-III-P2-2.1-PTE-2019-0867, within PNCDI III. Publisher Copyright: © 2021 IEEE.

PY - 2021

Y1 - 2021

N2 - Recently, two-dimensional polynomial predictors have been introduced. Some of their properties have been presented when simultaneous predictions in both directions are involved. In this paper we discuss some properties of twodimensional polynomial predictors when only one-way prediction is taken into account. We show that its behavior is similar to one-dimensional polynomial predictors. We also present how oneway prediction can be used to obtain prediction in almost any direction and that the results are not always a two-dimensional polynomial predictor of minimum area.

AB - Recently, two-dimensional polynomial predictors have been introduced. Some of their properties have been presented when simultaneous predictions in both directions are involved. In this paper we discuss some properties of twodimensional polynomial predictors when only one-way prediction is taken into account. We show that its behavior is similar to one-dimensional polynomial predictors. We also present how oneway prediction can be used to obtain prediction in almost any direction and that the results are not always a two-dimensional polynomial predictor of minimum area.

U2 - 10.1109/ISSCS52333.2021.9497430

DO - 10.1109/ISSCS52333.2021.9497430

M3 - Conference contribution

AN - SCOPUS:85114481479

T3 - ISSCS 2021 - International Symposium on Signals, Circuits and Systems

BT - ISSCS 2021 - International Symposium on Signals, Circuits and Systems

PB - IEEE

T2 - International Symposium on Signals, Circuits and Systems

Y2 - 15 July 2021 through 16 July 2021

ER -

Two-Dimensional Forward Polynomial Predictors

Abstrakti

Julkaisusarja

Conference

Rahoitus

Julkaisufoorumi-taso

!!ASJC Scopus subject areas

Pääsy asiakirjaan

Sormenjälki

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