MIT Lincoln Laboratory, as part of its mission to develop technology in support of national security, has established the MIT Lincoln Laboratory Series to publish select fundamental research. The series’ volumes are authored by Laboratory experts and distinguished collaborators, and cover both theory and practice. These books are intended to be comprehensive resources for researchers, professors, and upper-level students in engineering and related fields.
A Systems Approach from Architecture Principles to Deployment
by David R. Martinez and Bruke M. Kifle
ISBN: 9780262048989
Publisher: The MIT Press
Pub Date: June 11, 2024
The first text to take a systems engineering approach to artificial intelligence (AI), from architecture principles to the development and deployment of AI capabilities.
A high-level text that synthesizes diverse research areas for characterizing objects (targets) from radar data and establishes a novel analysis framework for a class of signal processing techniques useful for high-resolution radar signature modeling.
Edited by Ramaswamy Sridharan and Antonio F. Pensa
ISBN: 9780262549950
Publisher: The MIT Press
Pub Date: December 5, 2023
The development of deep space surveillance technology and its later application to near-Earth surveillance, covering work at Lincoln Laboratory from 1970 to 2000.
With Robert G. Atkins, Alan D. Bernard, Don M. Boroson, David J. Ebel, Aryeh Feder, Jack G. Fleischman, Michael P. Shatz, Robert Stein and Stephen D. Weiner
ISBN: 9780262549721
Publisher: The MIT Press
Pub Date: October 31, 2023
A guide to defense systems analysis by experts who have worked on systems that range from air defense to space defense.
A rigorous introduction to the theory and applications of state estimation and association, an important area in aerospace, electronics, and defense industries.
Detailed descriptions of detection, direction-finding, and signal-estimation methods, using consistent formalisms and notation, emphasizing HF antenna array sensing applications.
With Christopher Amato, Girish Chowdhary, Jonathan P. How, Hayley J. Davison Reynolds, Jason R. Thornton, Pedro A. Torres-Carrasquillo, N. Kemal Üre and John Vian
ISBN: 9780262029254
Publisher: The MIT Press
Pub Date: July 17, 2015
An introduction to decision making under uncertainty from a computational perspective, covering both theory and applications ranging from speech recognition to airborne collision avoidance.
