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.
| Original language | English |
|---|---|
| Title of host publication | ISSCS 2021 - International Symposium on Signals, Circuits and Systems |
| Publisher | IEEE |
| Number of pages | 4 |
| ISBN (Electronic) | 9781665449427 |
| DOIs | |
| Publication status | Published - 2021 |
| Publication type | A4 Article in conference proceedings |
| Event | International Symposium on Signals, Circuits and Systems - , Romania Duration: 15 Jul 2021 → 16 Jul 2021 |
Publication series
| Name | ISSCS 2021 - International Symposium on Signals, Circuits and Systems |
|---|
Conference
| Conference | International Symposium on Signals, Circuits and Systems |
|---|---|
| Country/Territory | Romania |
| Period | 15/07/21 → 16/07/21 |
Funding
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.
Publication forum classification
- Publication forum level 1
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Instrumentation
- Computer Networks and Communications
- Signal Processing
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