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Adaptive filtering : fundamentals of least mean squares with MATLAB / Alexander D. Poularikas.

O'Reilly Online Learning: Academic/Public Library Edition Available online

O'Reilly Online Learning: Academic/Public Library Edition
Format:
Author/Creator:
Language:
English
Subjects (All):
Physical Description:
1 online resource (361 p.)
Edition:
1st edition
Other Title:
Fundamentals of least mean squares with MATLAB
Place of Publication:
Boca Raton, Florida : CRC Press, 2015.
Language Note:
English
System Details:
text file
Summary:
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 statistical signal processing area-the least mean square (LMS) adaptive filter. This largely self-contained text:Discusses random variables, stochastic processes, vectors, matrices, determinants, discrete random signals, and probability distributionsExplains how to find the eigenvalues and eigenvectors of a
Contents:
  • 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
Notes:
  • Description based upon print version of record.
  • Includes bibliographical references.
  • Description based on print version record.
ISBN:
  • 9781351831024
  • 135183102X
  • 9781482253368
  • 1482253364
OCLC:
900464511

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