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Digital signal processing and spectral analysis for scientists., 


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Цена: 15372.00р.
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Название:  Digital signal processing and spectral analysis for scientists.
Перевод названия: Разработка цифровых сигналов и спектральный анализ для ученых
ISBN: 9783319254661
Издательство: Springer
Классификация:






ISBN-10: 3319254669
Обложка/Формат: Hardback
Страницы: 900
Вес: 1.52 кг.
Дата издания: 09.12.2015
Серия: Signals and communication technology
Язык: English
Издание: 2016 ed.
Иллюстрации: 352 colour illustrations, biography
Размер: 168 x 246 x 56
Читательская аудитория: Professional & vocational
Подзаголовок: Concepts and applications
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book covers the basics of processing and spectral analysis of monovariate discrete-time signals. Prior advanced mathematical skills are not needed in order to understand the contents: a good command of basic mathematical analysis is sufficient.


Spectral Theory and Mathematical Physics

Автор: Mantoiu
Название: Spectral Theory and Mathematical Physics
ISBN: 3319299905 ISBN-13(EAN): 9783319299907
Издательство: Springer
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Цена: 16769.00 р.
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Описание: The present volume contains the Proceedings of the International Conference on Spectral Theory and Mathematical Physics held in Santiago de Chile in November 2014. Main topics are: Ergodic Quantum Hamiltonians, Magnetic Schr?dinger Operators, Quantum Field Theory, Quantum Integrable Systems, Scattering Theory, Semiclassical and Microlocal Analysis, Spectral Shift Function and Quantum Resonances. The book presents survey articles as well as original research papers on these topics. It will be of interest to researchers and graduate students in Mathematics and Mathematical Physics.

Digital Signal Processing with Matlab Examples, Volume 2

Автор: Jose Maria Giron-Sierra
Название: Digital Signal Processing with Matlab Examples, Volume 2
ISBN: 9811025363 ISBN-13(EAN): 9789811025365
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This is the second volume in a trilogy on modern Signal Processing. The three books provide a concise exposition of signal processing topics, and a guide to support individual practical exploration based on MATLAB programs.This second book focuses on recent developments in response to the demands of new digital technologies. It is divided into two parts: the first part includes four chapters on the decomposition and recovery of signals, with special emphasis on images. In turn, the second part includes three chapters and addresses important data-based actions, such as adaptive filtering, experimental modeling, and classification.

Digital Signal Processing with Matlab Examples, Volume 3

Автор: Jose Maria Giron-Sierra
Название: Digital Signal Processing with Matlab Examples, Volume 3
ISBN: 9811025398 ISBN-13(EAN): 9789811025396
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This is the third volume in a trilogy on modern Signal Processing. The three books provide a concise exposition of signal processing topics, and a guide to support individual practical exploration based on MATLAB programs.This book includes MATLAB codes to illustrate each of the main steps of the theory, offering a self-contained guide suitable for independent study. The code is embedded in the text, helping readers to put into practice the ideas and methods discussed.The book primarily focuses on filter banks, wavelets, and images. While the Fourier transform is adequate for periodic signals, wavelets are more suitable for other cases, such as short-duration signals: bursts, spikes, tweets, lung sounds, etc. Both Fourier and wavelet transforms decompose signals into components. Further, both are also invertible, so the original signals can be recovered from their components. Compressed sensing has emerged as a promising idea. One of the intended applications is networked devices or sensors, which are now becoming a reality; accordingly, this topic is also addressed. A selection of experiments that demonstrate image denoising applications are also included. In the interest of reader-friendliness, the longer programs have been grouped in an appendix; further, a second appendix on optimization has been added to supplement the content of the last chapter.

Spectral Analysis of Economic Time Series. (Psme-1)

Автор: Granger Clive William John, Hatanaka Michio, Granger C. W. J.
Название: Spectral Analysis of Economic Time Series. (Psme-1)
ISBN: 069162478X ISBN-13(EAN): 9780691624785
Издательство: Wiley
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Цена: 6653.00 р.
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Описание: The important data of economics are in the form of time series; therefore, the statistical methods used will have to be those designed for time series data. New methods for analyzing series containing no trends have been developed by communication engineering, and much recent research has been devoted to adapting and extending these methods so that

Spectral Theory and Analysis

Автор: Jan Janas; Pavel Kurasov; A. Laptev; Sergei Naboko
Название: Spectral Theory and Analysis
ISBN: 3034803265 ISBN-13(EAN): 9783034803267
Издательство: Springer
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Цена: 16070.00 р.
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Описание: This volume contains the proceedings of the OTAMP 2008 (Operator Theory, Analysis and Mathematical Physics) conference held at the Mathematical Research and Conference Center in Bedlewo near Poznan.

Nonlinear Dynamical Systems Of Mathematical Physics: Spectral And Symplectic Integrability Analysis

Автор: Blackmore Denis Et Al
Название: Nonlinear Dynamical Systems Of Mathematical Physics: Spectral And Symplectic Integrability Analysis
ISBN: 9814327158 ISBN-13(EAN): 9789814327152
Издательство: World Scientific Publishing
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Цена: 28512.00 р.
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Описание: Presents a grounding in modern nonlinear integrable dynamics theory and applications in mathematical physics, and an introduction to the developments in the field. This book begins with an introduction modern integrable dynamical systems theory, treating such topics as Liouville-Arnold and Mischenko-Fomenko integrability.

Spectral Theory of Infinite-Area Hyperbolic Surfaces

Автор: Borthwick
Название: Spectral Theory of Infinite-Area Hyperbolic Surfaces
ISBN: 3319338757 ISBN-13(EAN): 9783319338750
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This text introduces geometric spectral theory in the context of infinite-area Riemann surfaces, providing a comprehensive account of the most recent developments in the field. For the second edition the context has been extended to general surfaces with hyperbolic ends, which provides a natural setting for development of the spectral theory while still keeping technical difficulties to a minimum. All of the material from the first edition is included and updated, and new sections have been added.Topics covered include an introduction to the geometry of hyperbolic surfaces, analysis of the resolvent of the Laplacian, scattering theory, resonances and scattering poles, the Selberg zeta function, the Poisson formula, distribution of resonances, the inverse scattering problem, Patterson-Sullivan theory, and the dynamical approach to the zeta function. The new sections cover the latest developments in the field, including the spectral gap, resonance asymptotics near the critical line, and sharp geometric constants for resonance bounds. A new chapter introduces recently developed techniques for resonance calculation that illuminate the existing results and conjectures on resonance distribution.The spectral theory of hyperbolic surfaces is a point of intersection for a great variety of areas, including quantum physics, discrete groups, differential geometry, number theory, complex analysis, and ergodic theory. This book will serve as a valuable resource for graduate students and researchers from these and other related fields. Review of the first edition:'The exposition is very clear and thorough, and essentially self-contained; the proofs are detailed...The book gathers together some material which is not always easily available in the literature...To conclude, the book is certainly at a level accessible to graduate students and researchers from a rather large range of fields. Clearly, the reader...would certainly benefit greatly from it.' (Colin Guillarmou, Mathematical Reviews, Issue 2008 h)

Evolutionary Image Analysis and Signal Processing

Автор: Stefano Cagnoni
Название: Evolutionary Image Analysis and Signal Processing
ISBN: 3642101852 ISBN-13(EAN): 9783642101854
Издательство: Springer
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Цена: 19589.00 р.
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Описание: This book is mostly papers selected from EvoIASP 2007, an event dedicated to evolutionary image analysis and signal processing. It covers the latest on evolutionary computation techniques in computer vision, pattern recognition, image and signal processing.

Digital Signal Processing in Power System Protection and Control

Автор: Waldemar Rebizant; Janusz Szafran; Andrzej Wisznie
Название: Digital Signal Processing in Power System Protection and Control
ISBN: 1447126807 ISBN-13(EAN): 9781447126805
Издательство: Springer
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Цена: 23508.00 р.
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Описание: This book connects the theory of protection and control with practical applications of protection equipment. Covers basic theory, digital algorithms for signal filtering, plus advantages and drawbacks of fuzzy logic-based schemes, neural networks and more.

Digital Signal Processing with Matlab Examples, Volume 1

Автор: Jose Maria Giron-Sierra
Название: Digital Signal Processing with Matlab Examples, Volume 1
ISBN: 9811025339 ISBN-13(EAN): 9789811025334
Издательство: Springer
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Цена: 15372.00 р.
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Описание: The three books provide a concise exposition of signal processing topics, and a guide to support individual practical exploration based on MATLAB programs.This book includes MATLAB codes to illustrate each of the main steps of the theory, offering a self-contained guide suitable for independent study.

Resolving Spectral Mixtures,30

Автор: Ruckebusch, Cyril
Название: Resolving Spectral Mixtures,30
ISBN: 0444636382 ISBN-13(EAN): 9780444636386
Издательство: Elsevier Science
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Цена: 23244.00 р.
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Описание:

Resolving Spectral Mixtures: With Applications from Ultrafast Time-Resolved Spectroscopy to Superresolution Imaging offers a comprehensive look into the most important models and frameworks essential to resolving the spectral unmixing problem--from multivariate curve resolution and multi-way analysis to Bayesian positive source separation and nonlinear unmixing. Unravelling total spectral data into the contributions from individual unknown components with limited prior information is a complex problem that has attracted continuous interest for almost four decades.

Spectral unmixing is a topic of interest in statistics, chemometrics, signal processing, and image analysis. For decades, researchers from these fields were often unaware of the work in other disciplines due to their different scientific and technical backgrounds and interest in different objects or samples. This led to the development of quite different approaches to solving the same problem. This multi-authored book will bridge the gap between disciplines with contributions from a number of well-known and strongly active chemometric and signal processing research groups.

Among chemists, multivariate curve resolution methods are preferred to extract information about the nature, amount, and location in time (process) and space (imaging and microscopy) of chemical constituents in complex samples. In signal processing, assumptions are usually around statistical independence of the extracted components. However, the chapters include the complexity of the spectral data to be unmixed as well as dimensionality and size of the data sets. Advanced spectroscopy is the key thread linking the different chapters. Applications cover a large part of the electromagnetic spectrum. Time-resolution ranges from femtosecond to second in process spectroscopy and spatial resolution covers the submicronic to macroscopic scale in hyperspectral imaging.

Computational Photography

Автор: Lukac R.
Название: Computational Photography
ISBN: 1439817499 ISBN-13(EAN): 9781439817490
Издательство: Taylor&Francis
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Цена: 27562.00 р.
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Описание: Details advances in computational photography, their applications, and specific research challenges. This text begins with computational photography fundamentals and computational cameras, followed by a discussion of computational photography approaches across a broad spectrum of imaging applications.


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