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Books in Computer science

The Computing collection presents a range of foundational and applied content across computer and data science, including fields such as Artificial Intelligence; Computational Modelling; Computer Networks, Computer Organization & Architecture, Computer Vision & Pattern Recognition, Data Management; Embedded Systems & Computer Engineering; HCI/User Interface Design; Information Security; Machine Learning; Network Security; Software Engineering.

  • Advances in Electronics and Electron Physics

    • 1st Edition
    • Volume 41
    • November 15, 1976
    • English

  • Advances in Computers

    • 1st Edition
    • Volume 15
    • November 15, 1976
    • English

  • Advances in Electronics and Electron Physics

    • 1st Edition
    • Volume 40B
    • November 8, 1976
    • English

  • Dynamic Stochastic Models from Empirical Data

    • 1st Edition
    • Volume 122
    • September 17, 1976
    • Anil Kashyap
    • English

  • Advances in Computers

    • 1st Edition
    • Volume 14
    • August 12, 1976
    • English

  • Advances in Electronics and Electron Physics

    • 1st Edition
    • Volume 40A
    • July 29, 1976
    • English

  • Quantum Detection and Estimation Theory

    • 1st Edition
    • Volume 123
    • July 6, 1976
    • Helstrom
    • English

  • Variational Methods in Statistics

    • 1st Edition
    • Volume 121
    • March 15, 1976
    • Rustagi
    • English

  • Introduction to Nonparametric Detection with Applications

    • 1st Edition
    • Volume 119
    • January 22, 1976
    • Jerry D. Gibson + 1 more
    • English
    Even with the advances in signal processing and digital communications, robustness to uncertain channel statistics continues to be a fundamental issue in the design and performance analysis of today's communications, radar, and sonar systems. The variability of digital communications systems consistently challenges the communications system designer, while new applications have channels that almost defy accurate modeling. As a result, parametric detectors, which are excellent when model assumptions are satisfied, do not maintain the satisfactory performance necessary for detection. This core IEEE Press reissue is the only book devoted solely to nonparametric detection - the key to maintaining good performance over a wide range of conditions. Throughout, the authors employ the classical Neyman-Pearson approach, which is widely applicable to detection problems in communications, radar, sonar, acoustics, and geophysics. Topics covered include: nonparametric detection theory, basic detection theory, one-input and two-input detectors and performance, tied observations, dependent sample performance, and engineering applications.

  • Pursuit Games

    An Introduction to the Theory and Applications of Differential Games of Pursuit and Evasion
    • 1st Edition
    • Volume 120
    • January 22, 1976
    • Otomar Hájek
    • English
    This book describes systematic methods for winning in differential games of pursuit and evasion and illustrates the scope and application of the developed procedures.

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