Statistical and Adaptive Signal Processing: Spectral Estimation, Signal Modeling, Adaptive Filtering and Array Processing - Spectral Estimation, Signal Modeling, Adaptive Filtering and Array Processing  (English, Paperback, Manolakis Dimitris)

This book is intended for graduate students at the first year or advanced graduate level in the areas of statistical and adaptive signal processing, as well as practicing engineers. The goal of this book is to provide a unified, complete, and practical treatment of spectral estimation, signal modeling, adaptive filtering, and array processing.

The text is written in an intuitive manner and includes many illustrative examples. In addition a sufficient number of computer based experiments are included that illustrate important concepts to the reader for ease of implementation. Throughout the book a sufficient emphasis has been placed on applications for the purposes of demonstrating the utility of various techniques.

Key Features

• Focus on the theory and the implementation of algorithms that are either of theoretical importance or useful to real-world applications. Provides a clear introduction to both the theory and application of the various methods.
• Focus on the theory and the implementation of algorithms that are either of theoretical importance or useful to real-world applications. Provides a clear introduction to both the theory and application of the various methods.
• Found throughout the book.
• Found throughout the book.
• Do you focus on theory, application or both in your class?
• Do you focus on theory, application or both in your class?
• Every chapter includes examples, problems, and computer experiments. Offers the student the opportunity to apply the concepts they have learned in a variety of exercises for a greater understanding of the subject matter.
• Found throughout the book.
• Found throughout the book.
• What method of application is most useful for your students to reinforce key concepts.
• What method of application is most useful for your students to reinforce key concepts.
• Every chapter includes examples, problems, and computer experiments. Offers the student the opportunity to apply the concepts they have learned in a variety of exercises for a greater understanding of the subject matter.
• MATLAB functions for all major algorithms and examples illustrating their use are provided. MATLAB is one of the most commonly used computational software packages in both Electrical Engineering education and in industry as well. The use of MATLAB in this book is intended to help the reader apply the various methods and models into real-world problems.
• Found throughout the book.
• Do you MATLAB in your course? Do you think using MATLAB will help prepare students for industry?
• Do you MATLAB in your course? Do you think using MATLAB will help prepare students for industry?
• Found throughout the book.
• MATLAB functions for all major algorithms and examples illustrating their use are provided. MATLAB is one of the most commonly used computational software packages in both Electrical Engineering education and in industry as well. The use of MATLAB in this book is intended to help the reader apply the various methods and models into real-world problems.