“Adaptive Digital Filters” presents an important discipline applied to the domain of speech processing. The book first makes the reader acquainted with the basic terms of filtering and adaptive filtering, before introducing the field of advanced modern algorithms, some of which are contributed by the authors themselves. Working in the field of adaptive signal processing requires the use of complex mathematical tools. The book offers a detailed presentation of the mathematical models that is clear and consistent, an approach that allows everyone with a college level of mathematics knowledge to successfully follow the mathematical derivations and descriptions of algorithms. The algorithms are presented in flow charts, which facilitates their practical implementation. The book presents many experimental results and treats the aspects of practical application of adaptive filtering in real systems, making it a valuable resource for both undergraduate and graduate students, and for all others interested in mastering this important field.
This book focuses on speech signal phenomena, presenting a robustification of the usual speech generation models with regard to the presumed types of excitation signals, which is equivalent to the introduction of a class of nonlinear models and the corresponding criterion functions for parameter estimation. Compared to the general class of nonlinear models, such as various neural networks, these models possess good properties of controlled complexity, the option of working in “online” mode, as well as a low information volume for efficient speech encoding and transmission. Providing comprehensive insights, the book is based on the authors’ research, which has already been published, supplemented by additional texts discussing general considerations of speech modeling, linear predictive analysis and robust parameter estimation.
This volume is a collection of invited talks, oral contributions and poster contributions devoted to advances in gamma-ray spectroscopy of various capture reactions. In agreement with the trend of previous meetings in the series, the symposium paid special attention to theoretical and experimental studies of nuclear structure at low energies and to nuclear astrophysics. Among the other topics covered are: statistical properties of nuclei and other quantum many-body systems, fundamental physics, nuclear data, practical application of capture reactions, and new techniques and facilities for capture gamma-ray spectroscopy. Contents: Nuclear Structure; Nuclear Reactions; Nuclear Astrophysics; Statistical Properties of Nuclei; Experimental Facilities; Nuclear Data; Applications; Fundamental Physics. Readership: Graduate students and researchers in nuclear physics.
Gotovo neprekidne finansijske neizvesnosti i krize izazvane finansijskim i nefinansijskim faktorima nas podsećaju na neophodnost i značaj literature u vezi sa hedžingom rizika. Nepredvidivost budućih promena deviznih kurseva je jedan od najvažnijih izvora neizvesnosti za preduzeća, bez obzira na to da li posluju u granicama jedne nacionalne privrede ili na globalnom nivou. Devizni rizik, kao izraz te neizvesnosti, može usloviti veoma nepovoljne promene domaće vrednosti nekih pozicija preduzeća ili pokazatelja poslovanja, pa privlači pažnju teorije i prakse. Budući da promene deviznih kurseva mogu značajno odrediti konkurentnost, novčane tokove i strategijsku orijentaciju preduzeća, izloženost deviznom riziku je strategijski problem koji zahteva strategijski odgovor. S tim u vezi, preduzeća koriste finansijske i operativne strategije. Finansijske strategije podrazumevaju zauzimanje pozicije u valutnom derivatu, sa ciljem smanjenja izloženosti u vezi sa osnovnom pozicijom u stranoj valuti, dok se operativne strategije zasnivaju na razvoju realnih opcija u domenu snabdevanja, proizvodnje i prodaje, sa ciljem optimiziranja izloženosti preduzeća u vezi sa očekivanim novčanim tokovima. Budući da se teorija i praksa finansija brzo menjaju i unapređuju, ova monografija je pisana u nastojanju da ukaže na strategijske odgovore koje preduzeća mogu da koriste kako bi kontrolisala uticaj deviznog rizika na svoje poslovanje. Imajući u vidu strategijsku dimenziju ovog problema, najviše pažnje je posvećeno analizi i objašnjenju modela za procenu izloženosti i strategijama za hedžing deviznog rizika. Posebno su istaknuti i analizirani pristupi dostupni preduzećima u Srbiji. Monografija „Hedžing deviznog rizika: razvoj i primena finansijskih i operativnih strategija“ je namenjena stručnjacima koji se u svakodnevnom radu sreću sa deviznim rizikom, studentima ekonomskih fakulteta, ali i svima koji žele da bolje razumeju uticaj deviznog rizika i praktične pristupe hedžingu. U očekivanju da će ova monografija doprineti boljem razumevanju složene problematike hedžinga deviznog rizika, autor je otvoren za konstruktivne sugestije naučne i stručne javnosti.
“Adaptive Digital Filters” presents an important discipline applied to the domain of speech processing. The book first makes the reader acquainted with the basic terms of filtering and adaptive filtering, before introducing the field of advanced modern algorithms, some of which are contributed by the authors themselves. Working in the field of adaptive signal processing requires the use of complex mathematical tools. The book offers a detailed presentation of the mathematical models that is clear and consistent, an approach that allows everyone with a college level of mathematics knowledge to successfully follow the mathematical derivations and descriptions of algorithms. The algorithms are presented in flow charts, which facilitates their practical implementation. The book presents many experimental results and treats the aspects of practical application of adaptive filtering in real systems, making it a valuable resource for both undergraduate and graduate students, and for all others interested in mastering this important field.
This book focuses on speech signal phenomena, presenting a robustification of the usual speech generation models with regard to the presumed types of excitation signals, which is equivalent to the introduction of a class of nonlinear models and the corresponding criterion functions for parameter estimation. Compared to the general class of nonlinear models, such as various neural networks, these models possess good properties of controlled complexity, the option of working in “online” mode, as well as a low information volume for efficient speech encoding and transmission. Providing comprehensive insights, the book is based on the authors’ research, which has already been published, supplemented by additional texts discussing general considerations of speech modeling, linear predictive analysis and robust parameter estimation.
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