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Introduction to Applied Statistical Signal Analysis, 2/E [¾çÀå]

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TABLE OF CONTENTS




Introduction and Terminology.
Empirical Modeling and Approximation.
Fourier Analysis.
Probability Concepts and Signal Characteristics.
Introduction to Random Processes and Signal Correlation.
Random Signals, Linear Systems, and Power Spectra.
Spectral Analysis for Random Signals: Classical Estimation.
Random Signal Modeling and Modern Spectral Estimation.
Theory and Application of Cross Correlation and Coherence.

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Introduction to Applied Statistical Signal Analysis, Second Edition provides a balanced perspective of the concept, mathematical bases, requirements for estimation, and detailed quantitative examples of the implementation of the techniques for classical signal analysis. The presentation integrates theory and implementation, practical examples, homework exercises that range from pencil and paper format to computer-based format problems to instructional notebooks. The enclosed CD-ROM provides a mode of learning that is interactive and suited for self-pacing and independent learning.

Contains numerous examples of "real-world" applications
Provides electronic notebooks on CD-ROM for interactive learning
Presents a graphical explanation of concepts
Notebooks introduce students to how MATLAB is implemented
Excercises and projects contain real data and emphasize concepts




--- FROM THE PUBLISHER

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