Smoothing, Filtering & Prediction: Estimating the Past, Present & Future, Jeremy Weissberg
Автор: Diniz Название: Adaptive Filtering ISBN: 1461441056 ISBN-13(EAN): 9781461441052 Издательство: Springer Рейтинг: Цена: 102480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In its 4th edition, this book reviews basic concepts of adaptive signal processing and adaptive filtering in a concise and straightforward manner, covering the main classes of adaptive filtering algorithms and using clear notation to facilitate implementation.
Автор: JOSE APOLINARIO JR Название: QRD-RLS Adaptive Filtering ISBN: 1441935266 ISBN-13(EAN): 9781441935267 Издательство: Springer Рейтинг: Цена: 121890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides tools and knowledge in a simple way so that the reader is able to implement a particular QRD-RLS algorithm tailored for the application at hand. The book comprehensively compiles the research of more than a decade into a single publication.
Автор: Yoshihisa Aizu; Toshimitsu Asakura Название: Spatial Filtering Velocimetry ISBN: 3642066402 ISBN-13(EAN): 9783642066405 Издательство: Springer Рейтинг: Цена: 130590.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In comparison with laser Doppler velocimetry, spatial ?ltering velocimetry had not received much attention from investigators but was studied steadily by several research groups mainly in Japan and is now practically used in various ?elds of engineering.
Автор: Poularikas Название: Adaptive Filtering ISBN: 1482253356 ISBN-13(EAN): 9781482253351 Издательство: Taylor&Francis Рейтинг: Цена: 102080.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Adaptive filters are used in many diverse applications, appearing in everything from military instruments to cellphones and home appliances. Adaptive Filtering: Fundamentals of Least Mean Squares with MATLAB(R) covers the core concepts of this important field, focusing on a vital part of the statistical signal processing area--the least mean square (LMS) adaptive filter.
This largely self-contained text:
Discusses random variables, stochastic processes, vectors, matrices, determinants, discrete random signals, and probability distributions
Explains how to find the eigenvalues and eigenvectors of a matrix and the properties of the error surfaces
Explores the Wiener filter and its practical uses, details the steepest descent method, and develops the Newton's algorithm
Addresses the basics of the LMS adaptive filter algorithm, considers LMS adaptive filter variants, and provides numerous examples
Delivers a concise introduction to MATLAB(R), supplying problems, computer experiments, and more than 110 functions and script files
Featuring robust appendices complete with mathematical tables and formulas, Adaptive Filtering: Fundamentals of Least Mean Squares with MATLAB(R) clearly describes the key principles of adaptive filtering and effectively demonstrates how to apply them to solve real-world problems.
Автор: Lefteris Tyler Название: Adaptive Filtering - Theories and Applications ISBN: 1681172070 ISBN-13(EAN): 9781681172071 Издательство: Gazelle Book Services Рейтинг: Цена: 217350.00 T Наличие на складе: Невозможна поставка. Описание: An adaptive filter is a computational device that iteratively models the relationship between the input and output signals of the filter. An adaptive filter self-adjusts the filter coefficients according to an adaptive algorithm. Over the past three decades, digital signal processors have made great advances in increasing speed and complexity, and reducing power consumption. As a result, real-time adaptive filtering algorithms are quickly becoming practical and essential for the future of communications, both wired and wireless. An adaptive filter designs itself based on the characteristics of the input signal to the filter and a signal that represents the desired behaviour of the filter on its input. Because of the complexity of the optimization algorithms, almost all adaptive filters are digital filters. Adaptive filters are required for some applications because some parameters of the desired processing operation are not known in advance or are changing. The closed loop adaptive filter uses feedback in the form of an error signal to refine its transfer function. Adaptive filtering can be used to characterize unknown systems in time-variant environments. Commonly, the closed loop adaptive process involves the use of a cost function, which is a criterion for optimum performance of the filter, to feed an algorithm, which determines how to modify filter transfer function to minimize the cost on the next iteration. The most common cost function is the mean square of the error signal. This book, Adaptive Filtering - Theories and Applications, offers some theoretical approaches and practical applications in diverse areas that support increasing of adaptive systems. The book reflect the latest advances in this field; particularly an increased coverage given to the practical applications of the theory to illustrate the much broader range of adaptive filters applications developed in recent years.
Автор: M. Ahmadi; M. Azimi-Sadjadi; R. Gorgui-Naguib; R. Название: Digital Filtering in One and Two Dimensions ISBN: 1489909206 ISBN-13(EAN): 9781489909206 Издательство: Springer Рейтинг: Цена: 174150.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book has been conceived to extend the generally published work on one- and two-dimensional digital filters in order to include some of the more recently developed ideas.
Автор: Paulo S R Diniz Название: Adaptive Filtering ISBN: 1461346606 ISBN-13(EAN): 9781461346609 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The field of Digital Signal Processing has developed so fast in the last two decades that it can be found in the graduate and undergraduate programs of most universities. If accurate information of the signals to be processed is available, the designer can easily choose the most appropriate algorithm to process the signal.
Автор: Michel Gevers; Gang Li Название: Parametrizations in Control, Estimation and Filtering Problems: Accuracy Aspects ISBN: 1447120418 ISBN-13(EAN): 9781447120414 Издательство: Springer Рейтинг: Цена: 95770.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book is all about finite wordlength errors in digital filters, con- trollers and estimators, and how to minimize the deleterious effects of these errors on the performance of these devices.
Казахстан, 010000 г. Астана, проспект Туран 43/5, НП2 (офис 2) ТОО "Логобук" Тел:+7 707 857-29-98 ,+7(7172) 65-23-70 www.logobook.kz
