Introduction to Spectral Analysis

Rating:
Summary: An excellent book!
Review: I'm a graduate student working in signal processing, and I have thus carefully read this book. It is very informative, and it contains most of the fundamental theory on the subject as well as more advanced results in additional complement sections. The book is very well written and is easily read. I warmly recommend it to any student in the field.

Rating:
Summary: Excellent book for self-study on spectral analysis
Review: There are many books on spectral analysis and related topics. This book is particular suitable for the people who want to learn this topic by self-studying. The chapters are well-organized and up-to-date. If you have this book at hand, don't forget visiting the book's homepage (you can find the address in the book) and downloading some useful information, including lecture notes and MATLAB files. Those materials are really informative and helpful. I highly recommend this book for textbook in classroom or reference book for researchers.

Rating:
Summary: The best book out there
Review: This is probably the best book on Spectral Analysis. A undergrad level probability / statistics is all that is required for reading through the book. The book develops the fundamentals of Spectral Analysis clearly and thoroughly and takes the reader through the various methods of spectral estimation. Parametric and Non-parametric methods are discussed and there are a variety of simulations that the reader can do in Matlab. The Matlab code is also provided in the website for the book. After going through the book, the reader would have enough knowledge in the field of spectral analysis to make her prepared for advanced reading / research in the subject. Also note that the book does not require any in-depth knowledge of Digital Signal Processing so it can be read by people in other areas who might need a knowledge of spectral analysis.