Adaptive filtering fundamentals of least mean squares with MATLAB

Adaptive filters are used in many diverse applications, appearing in everything from military instruments to cellphones and home appliances. Adaptive Filtering: Fundamentals of Least Mean Squares with MATLAB® covers the core concepts of this important field, focusing on a vital part of the statistic...

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Detalles Bibliográficos
Otros Autores: Poularikas, Alexander D., 1933- author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Boca Raton, Florida : CRC Press 2015.
Edición:1st edition
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628761006719
Tabla de Contenidos:
  • Front Cover; Contents; Preface; Author; Abbreviations; MATLAB® Functions; Chapter 1: Vectors; Chapter 2: Matrices; Chapter 3: Processing of Discrete Deterministic Signals: Discrete Systems; Chapter 4: Discrete-Time Random Processes; Chapter 5: The Wiener Filter; Chapter 6: Eigenvalues of Rx: Properties of the Error Surface; Chapter 7: Newton's and Steepest Descent Methods; Chapter 8: The Least Mean-Square Algorithm; Chapter 9: Variants of Least Mean- Square Algorithm; Appendix 1: Suggestions and Explanations for MATLAB Use; Appendix 2: Matrix Analysis; Appendix 3: Mathematical Formulas
  • Appendix 4: Lagrange Multiplier MethodBibliography