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A study of the history of Soviet Central Asia and the demographic, political, economic and cultural weight of the Muslims that reside there. This book examines current trends in this area which is one of Russia's most turbulent and misunderstood minority regions.
The third edition of Terence Wade’s A Comprehensive Russian Grammar, newly updated and revised, offers the definitive guide to current Russian usage. Provides the most complete, accurate and authoritative English language reference grammar of Russian available on the market Includes up-to-date material from a wide range of literary and non-literary sources, including Russian government websites Features a comprehensive approach to grammar exposition Retains the accessible yet comprehensive coverage of the previous edition while adding updated examples and illustrations, as well as insights into several new developments in Russian language usage since the collapse of the Soviet Union in 1991
Professor Freedman provides an exhaustive account of Soviet policy in the Middle East from the invasion of Afghanistan in December 1979 to withdrawal from the country ten years later.
An updated edition of this comprehensive narrative history, first published in 1989, incorporating a new chapter on the latest developments in Russian literature and additional bibliographical information. The individual chapters are by well-known specialists, and provide chronological coverage from the medieval period on, giving particular attention to the nineteenth and twentieth centuries, and including extensive discussion of works written outside the Soviet Union. The book is accessible to students and non-specialists, as well as to scholars of literature, and provides a wealth of information.
Increasing the noise immunity of complex signal processing systems is the main problem in various areas of signal processing. At the present time there are many books and periodical articles devoted to signal detection, but many important problems remain to be solved. New approaches to complex problems allow us not only to summarize investigations, but also to improve the quality of signal detection in noise. This book is devoted to fundamental problems in the generalized approach to signal processing in noise based on a seemingly abstract idea: the introduction of an additional noise source that does not carry any information about the signal in order to improve the qualitative performance of complex signal processing systems. Theoretical and experimental studies carried out by the author lead to the conclusion that the proposed generalized approach to signal processing in noise allows us to formulate a decision-making rule based on the determi nation of the jointly sufficient statistics of the mean and variance of the likelihood function (or functional). Classical and modern signal detection theories allow us to define only the sufficient statistic of the mean of the likelihood function (or functional). The presence of additional information about the statistical characteristics of the like lihood function (or functional) leads to better-quality signal detection in comparison with the optimal signal detection algorithms of classical and modern theories.
Integral representations of holomorphic functions play an important part in the classical theory of functions of one complex variable and in multidimensional com plex analysis (in the later case, alongside with integration over the whole boundary aD of a domain D we frequently encounter integration over the Shilov boundary 5 = S(D)). They solve the classical problem of recovering at the points of a do main D a holomorphic function that is sufficiently well-behaved when approaching the boundary aD, from its values on aD or on S. Alongside with this classical problem, it is possible and natural to consider the following one: to recover the holomorphic function in D from its values on some set MeaD not containing S. Of course, M is to be a set of uniqueness for the class of holomorphic functions under consideration (for example, for the functions continuous in D or belonging to the Hardy class HP(D), p ~ 1).