Abstract
Many signals in nature and engineering systems can be locally modeled as relatively low degree polynomials, thus one-dimensional polynomial predictive filters are useful especially in time-critical systems. The goal of this paper is to introduce the two-dimensional polynomial predictive FIR filters and present few of their properties. First we discuss previous main results in one-dimensional polynomial predictive filters. Then we show how to find the coefficients and the system functions of the minimum area polynomial predictor, and we present the recursive form for the system function of a minimum area polynomial predictor. Finally, we approach the general form of 2D polynomial predictors.
| Original language | English |
|---|---|
| Title of host publication | 2020 28th European Signal Processing Conference (EUSIPCO) |
| Publisher | IEEE |
| Pages | 2254-2258 |
| Number of pages | 5 |
| ISBN (Electronic) | 978-9-0827-9705-3 |
| DOIs | |
| Publication status | Published - 2021 |
| Publication type | A4 Article in conference proceedings |
| Event | European Signal Processing Conference - Beurs van Berlage, Amsterdam, Netherlands Duration: 18 Jan 2021 → 22 Jan 2021 Conference number: 28 https://eusipco2020.org |
Publication series
| Name | European Signal Processing Conference |
|---|---|
| ISSN (Electronic) | 2076-1465 |
Conference
| Conference | European Signal Processing Conference |
|---|---|
| Abbreviated title | EUSIPCO2020 |
| Country/Territory | Netherlands |
| City | Amsterdam |
| Period | 18/01/21 → 22/01/21 |
| Internet address |
Keywords
- Finite impulse response filters
- Two dimensional displays
- Wind farms
- Signal processing
- Time measurement
- Time factors
- Wind forecasting
Publication forum classification
- Publication forum level 1