An Introduction to Statistical Signal Processing 1st Edition by Robert M. Gray (PDF)

Description

This book describes the essential tools and techniques of statistical signal processing. At every stage theoretical ideas are linked to specific applications in communications and signal processing using a range of carefully chosen examples. The book begins with a development of basic probability, random objects, expectation, and second order moment theory followed by a wide variety of examples of the most popular random process models and their basic uses and properties. Specific applications to the analysis of random signals and systems for communicating, estimating, detecting, modulating, and other processing of signals are interspersed throughout the book. Hundreds of homework problems are included and the book is ideal for graduate students of electrical engineering and applied mathematics. It is also a useful reference for researchers in signal processing and communications.

User’s Reviews

Reviews from Amazon users which were colected at the time this book was published on the website:

⭐Different audience may have very different opinions towards this textbook.Yes, the book is NOT perfect, as some of the reviewers already pointed out.This book serves me well!My background for your reference: MechE bachelor’s degree + robotics ms degree + cs ms degree.This helps me lay a VERY solid foundation for the basics of the subject of probability.Prof. Gary and Prof. Davisson tries hard to build the basic theories and theorems from ground up for readers. I really appreciate that. This gives me a systematic overview of the topics. As opposed to some other reviews here, I think the organization of the sections and chapters are largely coherent and logical.They also tried to avoid unnecessary distraction of more advanced topics. After all, it is an introductory textbook.I use the book to provide necessary theoretic ground for understanding robotics and sensor techniques such as IMU calibration and Kalman Filter.

⭐As advertised

⭐The textbook deals with an interesting and multidisciplinary topic. However, the presentation is completely confusing and non systematic. For example, it has the claim to explain (quickly) and use Lebesgue and Stieltjes integrals without giving a clear formal definition, the notion of Borel sigma-algebra is used but never defined.The sections are not properly structured. During exposition it skips from one notion of probability, processes and estimation to another.For example, it goes through Sect. 3.11 Statistical estimation explained in 1 and a half page, sect. 3.12 Characteristic functions in 5 pages, Sect. 3.13 Gaussian random vectors (1 and a half p.).It is full of typos, with an errata corrige of 18 pages indeed.In summary, the textbook seems to be the result of barely transferring disordered lecture notes into a publication.Two stars for the solutions manual provided to the instructor.

⭐As the name of the book, this is an introductory book for the topic and especially focus on the explanation of the fundamental concepts.

⭐Not found.

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