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Radioastronomical Methods of Antenna Measurements
Radio astronomers have developed techniques of calibration of large reflector antennas with radio astronomical methods, but these have not been comprehensively described. This text aims to fill this gap, taking a practical approach to the characterisation of antennas. All calculations and results in the form of tables and figures have been made with Mathematica by Wolfram Research. The reader can use the procedures for the implementation of his own input data.
Methods of Radar Cross-section Analysis
This book is useful both for those who want to get initial information on the measurement of the antenna parameters, and for specialists directly involved in the experimental determination of the antenna parameters from the results of measuring the amplitude-phase distribution in the near zone of the antennas. Currently, the near-field method is the most common one for antenna measurements. In most books, an academic approach is given to the issue under consideration and it is difficult to use them for the direct organization of measurements. In many others, specific narrow issues are considered that are accessible to understanding only by highly qualified engineers/readers. The purpose of this book is to get rid of the above disadvantages by offering the reader a more accessible exposition and formulas by which appropriate computer programs can be written with minimal effort. The contents of this book allow interested specialists to be not only users of the near-field measuring facilities, but also help in understanding the principles of their work. This book is intended for engineers and specialists whose activities are related to experimental testing of radio characteristics of complex antenna systems, especially near-field measurements, and is also useful as a textbook for senior students in the field of “radioelectronics” and “radiophysics.”
Analysis of Reflector Antennas provides information pertinent to the analysis of reflector-antenna systems. This book provides an understanding of how design data have been and can be derived. Organized into four chapters, this book begins with an overview of the history of focusing reflector-antenna systems characterized by a highly variable level of general interest. This text then examines the solutions of the scalar Helmholtz equation in rectangular and spherical coordinates. Other chapters consider antenna performance described in terms of several fundamental properties, including capture area, directivity, gain, beam efficiency, aperture efficiency, polarization, effective noise temperature, and phase center. This book discusses as well the resulting functional dependence between axial ratio and component amplitude, which is the same as that between voltage standing wave ratio and voltage reflection coefficient. The final chapter deals with the role of the special-purpose digital computers. This book is a valuable resource for research and development engineers.
Lumped and Distributed Passive Networks: A Generalized and Advanced Viewpoint considers the mathematical study of a subset of passive linear operators. This five-chapter focuses on the questions of analysis and representation of such operators and illustrates the results of these analyses by obtaining some of the limitations that are imposed on the performance of passive systems. The first two chapters deal with the structure of general linear passive operators. These chapters specifically look into the theory of distributions, called generalized functions. The third and fourth chapters illustrate the application of passive operator theory to rational (lumped) and irrational (distributed) systems. The fifth chapter discusses some applications of optimization theory to the study of networks.
Introduction to Statistical Pattern Recognition introduces the reader to statistical pattern recognition, with emphasis on statistical decision and estimation. Pattern recognition problems are discussed in terms of the eigenvalues and eigenvectors. Comprised of 11 chapters, this book opens with an overview of the formulation of pattern recognition problems. The next chapter is devoted to linear algebra, with particular reference to the properties of random variables and vectors. Hypothesis testing and parameter estimation are then discussed, along with error probability estimation and linear classifiers. The following chapters focus on successive approaches where the classifier is adaptively adjusted each time one sample is observed; feature selection and linear mapping for one distribution and multidistributions; and problems of nonlinear mapping. The final chapter describes a clustering algorithm and considers criteria for both parametric and nonparametric clustering. This monograph will serve as a text for the introductory courses of pattern recognition as well as a reference book for practitioners in the fields of mathematics and statistics.
Applied Automata Theory provides an engineering style of presentation of some of the applied work in the field of automata theory. Topics covered range from algebraic foundations and recursive functions to regular expressions, threshold logic, and switching circuits. Coding problems and stochastic processes are also discussed, along with content addressable memories, probabilistic reliability, and Turing machines. Much emphasis is placed on engineering applications. Comprised of nine chapters, this book first deals with the algebraic foundations of automata theory, focusing on concepts such as semigroups, groups and homomorphisms, and partially ordered sets and lattices, as well as congruences and other relations. The reader is then introduced to regular expressions; stochastic automata and discrete systems theory; and switching networks as models of discrete stochastic processes. Subsequent chapters explore applications of automata theory in coding; content addressable and distributed logic memories; recursive functions and switching-circuit theory; and synthesis of a cellular computer. The book concludes with an assessment of the fundamentals of threshold logic. This monograph is intended for graduates or advanced undergraduates taking a course in information science or a course on discrete systems in modern engineering curriculum.