An Introduction to Digital Signal Processing, Mneney, Stanley

Автор: Ortega, Antonio,
Название: Introduction to graph signal processing /
ISBN: 1108428134 ISBN-13(EAN): 9781108428132
Издательство: Cambridge Academ
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Цена: 102790.00 T
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Описание: An intuitive, accessible text explaining the fundamentals and applications of signal processing on graphs. It covers basic and advanced topics, includes numerous exercises and Matlab examples, and is accompanied online by a solutions manual for instructors, making it essential reading for graduate students, researchers, and industry professionals.

Автор: Anand, R.
Название: Digital signal processing
ISBN: 1683928024 ISBN-13(EAN): 9781683928027
Издательство: Mare Nostrum (Eurospan)
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Цена: 59730.00 T
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Описание: Designed to cover the fundamental concepts of digital signal processing, this book introduces topics such as discrete-time signals, the z-transform, frequency analysis, discrete and fast Fourier transforms, digital filters, FIR, statistical DSP, applications, and more.

Автор: Vershynin, Roman (university Of Michigan, Ann Arbor)
Название: Cambridge series in statistical and probabilistic mathematics
ISBN: 1108415199 ISBN-13(EAN): 9781108415194
Издательство: Cambridge Academ
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Цена: 60190.00 T
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Описание: The data sciences are moving fast, and probabilistic methods are both the foundation and a driver. This highly motivated text brings beginners up to speed quickly and provides working data scientists with powerful new tools. Ideal for a basic second course in probability with a view to data science applications, it is also suitable for self-study.

Автор: Jurgen Beyerer, Matthias Richter, Matthias Nagel
Название: Pattern Recognition: Introduction, Features, Classifiers and Principles
ISBN: 3110537931 ISBN-13(EAN): 9783110537932
Издательство: Walter de Gruyter
Цена: 86720.00 T
Наличие на складе: Невозможна поставка.
Описание: The book offers a thorough introduction to Pattern Recognition aimed at master and advanced bachelor students of engineering and the natural sciences. Besides classification - the heart of Pattern Recognition - special emphasis is put on features, their typology, their properties and their systematic construction. Additionally, general principles that govern Pattern Recognition are illustrated and explained in a comprehensible way. Rather than presenting a complete overview over the rapidly evolving field, the book is to clarifies the concepts so that the reader can easily understand the underlying ideas and the rationale behind the methods. For this purpose, the mathematical treatment of Pattern Recognition is pushed so far that the mechanisms of action become clear and visible, but not farther. Therefore, not all derivations are driven into the last mathematical detail, as a mathematician would expect it. Ideas of proofs are presented instead of complete proofs. From the authors’ point of view, this concept allows to teach the essential ideas of Pattern Recognition with sufficient depth within a relatively lean book. Mathematical methods explained thoroughly Extremely practical approach with many examples Based on over ten years lecture at Karlsruhe Institute of Technology For students but also for practitioners

Автор: Narayan Kovvali, Mahesh Banavar, Andreas Spanias
Название: An Introduction to Kalman Filtering with MATLAB Examples
ISBN: 1627051392 ISBN-13(EAN): 9781627051392
Издательство: Mare Nostrum (Eurospan)
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Цена: 41580.00 T
Наличие на складе: Невозможна поставка.
Описание: The Kalman filter is the Bayesian optimum solution to the problem of sequentially estimating the states of a dynamical system in which the state evolution and measurement processes are both linear and Gaussian. Given the ubiquity of such systems, the Kalman filter finds use in a variety of applications. This book presents a brief introduction to Kalman filtering.

Автор: Joseph Bentsman
Название: Signals, Instrumentation, Control, And Machine Learning: An Integrative Introduction
ISBN: 981125186X ISBN-13(EAN): 9789811251863
Издательство: World Scientific Publishing
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Цена: 190080.00 T
Наличие на складе: Поставка под заказ.
Описание: This book stems from a unique and a highly effective approach to introducing signal processing, instrumentation, diagnostics, filtering, control, system integration, and machine learning.It presents the interactive industrial grade software testbed of mold oscillator that captures the distortion induced by beam resonance and uses this testbed as a virtual lab to generate input-output data records that permit unravelling complex system behavior, enhancing signal processing, modeling, and simulation background, and testing controller designs.All topics are presented in a visually rich and mathematically well supported, but not analytically overburdened format. By incorporating software testbed into homework and project assignments, the narrative guides a reader in an easily followed step-by-step fashion towards finding the mold oscillator disturbance removal solution currently used in the actual steel production, while covering the key signal processing, control, system integration, and machine learning concepts.The presentation is extensively class-tested and refined though the six-year usage of the book material in a required engineering course at the University of Illinois at Urbana-Champaign.

Автор: Joseph Bentsman
Название: Signals, Instrumentation, Control, And Machine Learning: An Integrative Introduction
ISBN: 9811252319 ISBN-13(EAN): 9789811252310
Издательство: World Scientific Publishing
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Цена: 95040.00 T
Наличие на складе: Поставка под заказ.
Описание: This book stems from a unique and a highly effective approach to introducing signal processing, instrumentation, diagnostics, filtering, control, system integration, and machine learning.It presents the interactive industrial grade software testbed of mold oscillator that captures the distortion induced by beam resonance and uses this testbed as a virtual lab to generate input-output data records that permit unravelling complex system behavior, enhancing signal processing, modeling, and simulation background, and testing controller designs.All topics are presented in a visually rich and mathematically well supported, but not analytically overburdened format. By incorporating software testbed into homework and project assignments, the narrative guides a reader in an easily followed step-by-step fashion towards finding the mold oscillator disturbance removal solution currently used in the actual steel production, while covering the key signal processing, control, system integration, and machine learning concepts.The presentation is extensively class-tested and refined though the six-year usage of the book material in a required engineering course at the University of Illinois at Urbana-Champaign.

Автор: Samani, Afshin (aalborg University, Denmark.)
Название: Introduction to signal processing for non-engineers
ISBN: 1032337818 ISBN-13(EAN): 9781032337814
Издательство: Taylor&Francis
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Цена: 54090.00 T
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Описание: This book introduces the basic concepts of signal processing for scientists and students with no engineering background. The book presents the concepts with minimum use of mathematical formulations and more emphasis on visual illustrations. The idea is to present an intuitive approach to understanding the basics of signal processing and exemplify some practical applications of the concepts by which the readers achieve basic knowledge and skills in signal processing. Most of illustrations in the book have been created by computer programming in MATLAB®; thus, the reader will learn the basics of using computers in signal processing applications.

Автор: Thyagarajan, K.s.
Название: Introduction to digital signal processing using matlab with application to digital communications
ISBN: 3319760289 ISBN-13(EAN): 9783319760285
Издательство: Springer
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Цена: 55890.00 T
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Описание: It goes on to give instruction in converting continuous time signals into digital signals and discusses various methods to process the digital signals, such as filtering.

Автор: Sundararajan D.
Название: Digital Signal Processing: An Introduction
ISBN: 303062367X ISBN-13(EAN): 9783030623678
Издательство: Springer
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Цена: 46570.00 T
Наличие на складе: Нет в наличии.
Описание: This textbook for a one semester introductory course in digital signal processing for senior undergraduate and first year graduate students in electrical and computer engineering departments is concise, highly readable, and yet provides comprehensive coverage of the topic.

Автор: Sundararajan D.
Название: Digital Signal Processing: An Introduction
ISBN: 303062370X ISBN-13(EAN): 9783030623708
Издательство: Springer
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Цена: 46570.00 T
Наличие на складе: Нет в наличии.
Описание: This textbook for a one semester introductory course in digital signal processing for senior undergraduate and first year graduate students in electrical and computer engineering departments is concise, highly readable, and yet provides comprehensive coverage of the topic.

Автор: Wayne Stark
Название: Introduction to Digital Communications
ISBN: 1009220810 ISBN-13(EAN): 9781009220811
Издательство: Cambridge Academ
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Цена: 82370.00 T
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Описание: Master the fundamentals of digital communications systems with this accessible and hands-on introductory textbook, carefully interweaving theory and practice. The just-in-time approach introduces essential background as needed, keeping academic theory firmly linked to practical applications. The example-led teaching frames key concepts in the context of real-world systems, such as 5G, WiFi, and GPS. Stark provides foundational material on the trade-offs between energy and bandwidth efficiency, giving students a solid grounding in the fundamental challenges of designing digital communications systems. Features include over 300 illustrative figures, 80 examples, and 130 end-of-chapter problems to reinforce student understanding, with solutions for instructors. Accompanied online by lecture slides, computational MATLAB® and Python resources, and supporting data sets, this is the ideal introduction to digital communications for senior undergraduate and graduate students in electrical engineering.