Analysis and Processing of Air Pollution Signals

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F01%3A00003871" target="_blank" >RIV/60461373:22340/01:00003871 - isvavai.cz</a>

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Analysis and Processing of Air Pollution Signals

Popis výsledku v původním jazyce

The paper is devoted to construction of wavelet functions using both their analytical description and dilation equations for their iterative definition. In this connection the orthogonality of wavelet functions is studied as well together with their analysis both in time and frequency domains. The main part of the paper is devoted to the processing of signal after its decomposition, thresholding of its components including the threshold level estimation and the following signal reconstruction. The maingoal of this study is in signal de-noising and in rejection of undesirable signal components. Resulting algorithms of wavelet signal de-noising are verified for simulated signals at first and then applied for processing of real signals representing energy consumption. Signal obtained in this way are then used for their autoregressive modelling to enable signal prediction and estimation of reliability limits of predicted signal values.

Název v anglickém jazyce

Analysis and Processing of Air Pollution Signals

Popis výsledku anglicky

The paper is devoted to construction of wavelet functions using both their analytical description and dilation equations for their iterative definition. In this connection the orthogonality of wavelet functions is studied as well together with their analysis both in time and frequency domains. The main part of the paper is devoted to the processing of signal after its decomposition, thresholding of its components including the threshold level estimation and the following signal reconstruction. The maingoal of this study is in signal de-noising and in rejection of undesirable signal components. Resulting algorithms of wavelet signal de-noising are verified for simulated signals at first and then applied for processing of real signals representing energy consumption. Signal obtained in this way are then used for their autoregressive modelling to enable signal prediction and estimation of reliability limits of predicted signal values.

Druh

D - Stať ve sborníku

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

—

Projekt

—

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2001

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proc. of the 13th Int. Conf. on Process Control PC '01

ISBN

80-227-1542-5

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

"P011-1"-"P011-6"

Název nakladatele

Slovak University of Technology

Místo vydání

Bratislava

Místo konání akce

Bratislava

Datum konání akce

11. 6. 2001

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

—