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9096 results in Communications, Signal Processing and Information Theory

Page 115 of 455

Statistical Inference for Engineers and Data Scientists
  • Pierre Moulin, Venugopal V. Veeravalli
  • Published online:
    12 December 2018
    Print publication:
    22 November 2018
  • This book is a mathematically accessible and up-to-date introduction to the tools needed to address modern inference problems in engineering and data science, ideal for graduate students taking courses on statistical inference and detection and estimation, and an invaluable reference for researchers and professionals. With a wealth of illustrations and examples to explain the key features of the theory and to connect with real-world applications, additional material to explore more advanced concepts, and numerous end-of-chapter problems to test the reader's knowledge, this textbook is the 'go-to' guide for learning about the core principles of statistical inference and its application in engineering and data science. The password-protected solutions manual and the image gallery from the book are available online.

Foundations of MIMO Communication
  • Robert W. Heath Jr., Angel Lozano
  • Published online:
    10 December 2018
    Print publication:
    06 December 2018
  • Understand the fundamentals of wireless and MIMO communication with this accessible and comprehensive text. Viewing the subject through an information theory lens, but also drawing on other perspectives, it provides a sound treatment of the key concepts underpinning contemporary wireless communication and MIMO, all the way to massive MIMO. Authoritative and insightful, it includes over 330 worked examples and 450 homework problems, with solutions and MATLAB code and data available online. Altogether, this is an excellent resource for instructors and graduate students, as well as an outstanding reference for researchers and practicing engineers.

Multi-resolution Image Fusion in Remote Sensing
  • Manjunath V. Joshi, Kishor P. Upla
  • Published online:
    06 December 2018
    Print publication:
    24 January 2019
  • Written in an easy-to-follow approach, the text will help the readers to understand the techniques and applications of image fusion for remotely sensed multi-spectral images. It covers important multi-resolution fusion concepts along with the state-of-the-art methods including super resolution and multi stage guided filters. It includes in depth analysis on degradation estimation, Gabor Prior and Markov Random Field (MRF) Prior. Concepts such as guided filter and difference of Gaussian are discussed comprehensively. Novel techniques in multi-resolution fusion by making use of regularization are explained in detail. It also includes different quality assessment measures used in testing the quality of fusion. Real-life applications and plenty of multi-resolution images are provided in the text for enhanced learning.

  • 1 - A primer on information theory and MMSE estimation

  • from Part I - Wireless Communication Theory
  • Robert W. Heath Jr., University of Texas, Austin, Angel Lozano, Universitat Pompeu Fabra, Barcelona
  • Book:
    Foundations of MIMO Communication
    Published online:
    10 December 2018
    Print publication:
    06 December 2018, pp 3-56
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Page 115 of 455