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Author(s): Maria Cristina da Costa Vila
António Manuel Antunes Fiúza
Title: Analysis of bioremediation respirometric data using wavelets
Issue Date: 2008
Abstract: The study of biodegradation using respirometry generates an enormous quantity of data, with several millions ofregisters for each variable. We have been treating this enormous amount of information using several mathematicaltechniques. The first step is always the filtration of the data in order to eliminate anomalies strange to the process, suchas voltage breakages. The length of the data can be reduced using conventional statistical methodologies or by usingwavelets or by combination of both. We have been applying wavelet analysis to signals generated by the respirometryof biodegradation with three different purposes: (i) as a method of data filtration or denoising that keeps the inner core structure of the information without aliasing; (ii) as an interpretation tool; (iii) to detect variation patterns at smaller scales. The synthesized signals can be subsequently used to create digital data-driven mathematical models, either single input-single output or multiple input-multiple output, using the tools of the system identification theory.
Subject: Ciências da terra e ciências do ambiente
Earth and related Environmental sciences
Source: Bioremediation conference
Document Type: Artigo em Livro de Atas de Conferência Internacional
Rights: openAccess
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional

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