Detection Estimation And Modulation Theory Pt 03 Radar Sonar Signal Processing And Gaussian Signals In Noise

Detection, Estimation, and Modulation Theory, Part III

* Paperback reprint of one of the most respected classics in the history of engineering publication * Together with the reprint of Part I and the new Part IV, this will be the most complete treatment of the subject available * Provides a highly-readable discussion of Signal Processing and Noise * Features numerous problems and illustrations to help promote understanding of the topics * Contents are highly applicable to current systems

DETECTION, ESTIMATION, AND MODULATION THEORY. PT. 03. RADAR-SONAR SIGNAL PROCESSING AND GAUSSIAN SIGNALS IN NOISE.

Signal and Image Processing in Navigational Systems

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.