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: Think DSP: Digital Signal Processing in PythonThink DSP: Digital Signal Processing in Python
by - Green Tea Press
'Think DSP: Digital Signal Processing in Python' is an introduction to signal processing and system analysis using a computational approach. The premise of this book is that if you know how to program, you can use that skill to learn other things.
(1867 views)
Book cover: Fourier Transform: Signal Processing and Physical SciencesFourier Transform: Signal Processing and Physical Sciences
by - InTech
The book covers fast hybrid recursive FT based on Jacket matrix, acquisition algorithm for global navigation system, determining the sensitivity of output parameters based on FFT, convergence of integrals based on Riemann-Lebesgue Lemma function, ...
(1721 views)
Book cover: Concise Signal ModelsConcise Signal Models
by - Connexions
This book reviews fundamental concepts underlying the use of concise models for signal processing. Topics are presented from a geometric perspective and include low-dimensional linear, sparse, and manifold-based signal models, approximation, etc.
(4687 views)
Book cover: Hidden Markov Models: Estimation and ControlHidden Markov Models: Estimation and Control
by - Springer
The aim of this book is to present graduate students with a thorough survey of reference probability models and their applications to optimal estimation and control. Readers are assumed to have basic grounding in probability and systems theory.
(8605 views)