Adaptive Filtering Theories and Applications
Adaptive filtering can be used to characterize unknown systems in time-variant environments. The main objective of this approach is to meet a difficult comprise: maximum convergence speed with maximum accuracy. Each application requires a certain approach which determines the filter structure, the c...
Otros Autores: | , |
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Formato: | Libro electrónico |
Idioma: | Inglés |
Publicado: |
Rijeka, Croatia :
IntechOpen
2013
[2013] |
Materias: | |
Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009655027306719 |
Sumario: | Adaptive filtering can be used to characterize unknown systems in time-variant environments. The main objective of this approach is to meet a difficult comprise: maximum convergence speed with maximum accuracy. Each application requires a certain approach which determines the filter structure, the cost function to minimize the estimation error, the adaptive algorithm, and other parameters; and each selection involves certain cost in computational terms, that in any case should consume less time than the time required by the application working in real-time. Theory and application are not, therefore, isolated entities but an imbricated whole that requires a holistic vision. This book collects some theoretical approaches and practical applications in different areas that support expanding of adaptive systems. |
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Descripción Física: | 1 online resource (164 pages) : illustrations |
Bibliografía: | Includes bibliographical references and index. |
ISBN: | 9789535163084 |
Acceso: | Open access |