Statistical Signal Processing: Detection, Estimation, and Time Series Analysis

A good book, but a bit difficult to read.

Rating: 80%

This book is very comprehensive, covering all essential topics in signal detection, all down to the bottom. However, it requires a very high level of mathematical maturity and understanding as all derivations are pretty jumpy with slight notational abuses.

Xu Ning (Amazon.com)

A must have text for signal processing researchers

Rating: 100%

This is one of the best texts in Statistical Signal Processing. The coverage of this text is deep and guidelines to developing ideas are available. It may be more difficult to read than S.Kay's similar texts, however it's worth having one with you.

Sonny (Amazon.com)

A marvellous text!

Rating: 100%

I have used the text by Scharf for a graduate level course in detection and estimation theory a large number of times now, and I am really pleased with the book.

Scharf's text has its main strength in the consistent use of linear algebra and matrix theory. As a result, the author is able to provide the reader with beautiful and insightful geometrical explanations of most key concepts relating to detection and estimation. The geometrical view is unique to this text, and I have found that the students benefit a lot from the geometrical framework when trying to understand advanced topics.

Scharf's book is not necessarily easy to read, but once the necessary time and effort has been invested, the result is advanced knowledge and insight of a permanent value. The book contains very few errors, and it contains a sufficient number of relevant problems.

Alfred Hanssen (Amazon.com)

A really comprehensive book

Rating: 80%

An extremely comprehensive book for those who are taking a course on estimation and detection theory. A basic knowledge of some topics in signal processing helps in a much better understanding of the topics covered in the book.

Anita Balasubramanian (Amazon.com)