- 664 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Signal and Image Processing in Navigational Systems
About this book
Classical and modern theories have given us a degree of noise immunity by defining the sufficient statistic of the mean of the likelihood function. The generalized theory moves beyond these limitations to determine the jointly sufficient statistics of the mean and variance of the likelihood function.
Signal and Image Processing in Navigational Systems introduces us to the generalized approach, and then delves rigorously into the theory and practical applications of this approach. This volume represents the most in-depth discussion of the generalized approach to date, providing many examples and computer models to demonstrate how this approach raises the upper limits of noise immunity for navigation systems, leading to better detection performances.
This book is vital for signal and image processing experts, radar, communications, acoustics, and navigational systems designers, as well as professionals in the fields of statistical pattern recognition, biomedicine, astronomy, and robotics who wish to extend the boundaries of noise immunity and improve qualitative performance of their systems.
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Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Signal and Image Processing in Navigational Systems by Vyacheslav Tuzlukov in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Electrical Engineering & Telecommunications. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Half Title
- Series Page
- Title Page
- Copyright Page
- Preface
- The Author
- Introduction
- Table of Contents
- Notation Index
- Part I Theory of Fluctuating Target Return Signals in Navigational Systems
- Part II Generalized Approach to Space-Time Signal and Image Processing in Navigational Systems
- Appendix I
- Appendix II