Logo

Signal Processing by Sebastian Miron

Small book cover: Signal Processing

Signal Processing
by

Publisher: InTech
ISBN-13: 9789537619916
Number of pages: 536

Description:
The exponential development of sensor technology and computer power over the last few decades, transformed signal processing in an essential tool for a wide range of domains such as telecommunications, medicine or chemistry. This book intends to provide highlights of the current research in signal processing area, to offer a snapshot of the recent advances in this field.

Home page url

Download or read it online for free here:
Download link
(23MB, 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.
(12559 views)
Book cover: Kalman Filter Recent Advances and ApplicationsKalman Filter Recent Advances and Applications
by - INTECH
An overview of recent developments in Kalman filter theory and their applications in engineering and scientific fields. The book covers recent advances in Kalman filtering theory and applications in electrical engineering and other areas.
(16161 views)
Book cover: An Exploration of Random Processes for EngineersAn Exploration of Random Processes for Engineers
by - University of Illinois at Urbana-Champaign
These notes were written for a graduate course on random processes. Students are assumed to have had a previous course in probability, some familiarity with real analysis and linear algebra, and some familiarity with complex analysis.
(16841 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.
(15614 views)