Logo

Statistical Spectral Analysis: A Non-Probabilistic Theory

Large book cover: Statistical Spectral Analysis: A Non-Probabilistic Theory

Statistical Spectral Analysis: A Non-Probabilistic Theory
by

Publisher: Prentice Hall
ISBN/ASIN: 0138445729
ISBN-13: 9780138445720
Number of pages: 591

Description:
This book is intended to serve as both a graduate-level textbook and a technical reference. The focus is on fundamental concepts, analytical techniques, and basic empirical methods. The only prerequisite is an introductory course on Fourier analysis.

Home page url

Download or read it online for free here:
Download link
(41MB, PDF)

Similar books

Book cover: The Scientist and Engineer's Guide to Digital Signal ProcessingThe Scientist and Engineer's Guide to Digital Signal Processing
by - California technical Publishing
Digital Signal Processing is one of the most powerful technologies that will shape science and engineering in the twenty-first century. The book presents the fundamentals of DSP using examples from common science and engineering problems.
(67749 views)
Book cover: Notes on the Design of Optimal FIR FiltersNotes on the Design of Optimal FIR Filters
by - Connexions
This book examines how to convert a typical filter specification into a reasonably accurate estimate of the length of the impulse response. The text covers filter sizing, performance comparisons with other FIR design methods, etc.
(11433 views)
Book cover: Digital Filters and Signal ProcessingDigital Filters and Signal Processing
by - InTech
Digital filters, together with signal processing, are being employed in the new technologies and information systems, and implemented in different areas and applications. This book presents advanced developments, covering different cases studies.
(10860 views)
Book cover: Kalman FilterKalman Filter
by - InTech
The Kalman filter has been successfully employed in diverse knowledge areas over the last 50 years. The aim of this book is to provide an overview of recent developments in Kalman filter theory and their applications in engineering and science.
(14304 views)