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Titlebook: Array Signal Processing; S. Uṇṇikrishṇa Pillai,C. S. Burrus (Professor and Book 1989 Springer-Verlag New York Inc. 1989 Signal.detection.

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发表于 2025-3-21 18:12:22 | 显示全部楼层 |阅读模式
期刊全称Array Signal Processing
影响因子2023S. Uṇṇikrishṇa Pillai,C. S. Burrus (Professor and
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学科分类Signal Processing and Digital Filtering
图书封面Titlebook: Array Signal Processing;  S. Uṇṇikrishṇa Pillai,C. S. Burrus (Professor and  Book 1989 Springer-Verlag New York Inc. 1989 Signal.detection.
影响因子This book is intended as an introduction to array signal process­ ing, where the principal objectives are to make use of the available multiple sensor information in an efficient manner to detect and possi­ bly estimate the signals and their parameters present in the scene. The advantages of using an array in place of a single receiver have extended its applicability into many fields including radar, sonar, com­ munications, astronomy, seismology and ultrasonics. The primary emphasis here is to focus on the detection problem and the estimation problem from a signal processing viewpoint. Most of the contents are derived from readily available sources in the literature, although a cer­ tain amount of original material has been included. This book can be used both as a graduate textbook and as a reference book for engineers and researchers. The material presented here can be readily understood by readers having a back­ ground in basic probability theory and stochastic processes. A prelim­ inary course in detection and estimation theory, though not essential, may make the reading easy. In fact this book can be used in a one semester course following probability theory and stochastic pr
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Performance Analysis,ral conventional and high resolution techniques have been developed to resolve the directions of arrival of incoming signals. In this chapter we analyze the performance of these methods based on finite observations, from a statistical point of view, and establish several results. When the ensemble a
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Book 1989 information in an efficient manner to detect and possi­ bly estimate the signals and their parameters present in the scene. The advantages of using an array in place of a single receiver have extended its applicability into many fields including radar, sonar, com­ munications, astronomy, seismology
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1431-7893 ple sensor information in an efficient manner to detect and possi­ bly estimate the signals and their parameters present in the scene. The advantages of using an array in place of a single receiver have extended its applicability into many fields including radar, sonar, com­ munications, astronomy,
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Multiple Organ Dysfunction Syndromeximum likelihood (ML) is often chosen in various estimation and hypothesis testing problems for this purpose [1]. As the name implies, the unknowns are selected so as to maximize (the logarithm of) the likelihood function, which is (the logarithm of) the joint probability density function of observations.
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https://doi.org/10.1007/978-981-19-2856-7of physical motion or deliberate on-off jamming strategies of the smart opponent. In this case, capabilities for quick adaptive learning of the changing scene are required to maintain an acceptable level of the desired signal characteristics at the receiver.
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Performance Analysis,ximum likelihood (ML) is often chosen in various estimation and hypothesis testing problems for this purpose [1]. As the name implies, the unknowns are selected so as to maximize (the logarithm of) the likelihood function, which is (the logarithm of) the joint probability density function of observations.
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