Authors are well known and highly recognized by the acoustic echo and noise community.
Presents a detailed description of practical methods to control echo and noise
Develops a statistical theory for optimal control parameters and presents practical estimation and approximation methodsList of Figures.
List of Tables.
Preface.
Acknowledgments.
Abbreviations and Acronyms.
Part I: Basics.
1 Introduction.
1.1 Some History.
1.2 Overview of the Book.
2 Acoustic Echo and Noise Control Systems.
2.1 Notation.
2.2 Applications.
3 Fundamentals.
3.1 Signals.
3.2 Acoustic Echoes.
3.3 Standards.
Part II: Algorithms.
4 Error Criteria and Cost Functions.
4.1 Error Criteria for Adaptive Filters.
4.2 Error Criteria for Filter Design.
4.3 Error Criteria for Speech Processing and Control Purposes.
5 Wiener Filter.
5.1 Time-Domain Solution.
5.2 Frequency-Domain Solution.
6 Linear Prediction.
6.1 Normal Equations.
6.2 Levinson{Durbin Recursion.
7 Algorithms for Adaptive Filters.
7.1 The Normalized Least Mean Square Algorithm.
7.2 The Affine Projection Algorithm.
7.3 The RecurslC;