Bootstrap Techniques for Signal Processing

Bootstrap Techniques for Signal Processing PDF Author: Abdelhak M. Zoubir
Publisher: Cambridge University Press
ISBN: 9781139452021
Category : Technology & Engineering
Languages : en
Pages : 238

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Book Description
The statistical bootstrap is one of the methods that can be used to calculate estimates of a certain number of unknown parameters of a random process or a signal observed in noise, based on a random sample. Such situations are common in signal processing and the bootstrap is especially useful when only a small sample is available or an analytical analysis is too cumbersome or even impossible. This book covers the foundations of the bootstrap, its properties, its strengths and its limitations. The authors focus on bootstrap signal detection in Gaussian and non-Gaussian interference as well as bootstrap model selection. The theory developed in the book is supported by a number of useful practical examples written in MATLAB. The book is aimed at graduate students and engineers, and includes applications to real-world problems in areas such as radar and sonar, biomedical engineering and automotive engineering.

Bootstrap Techniques for Signal Processing

Bootstrap Techniques for Signal Processing PDF Author: Abdelhak M. Zoubir
Publisher: Cambridge University Press
ISBN: 9781139452021
Category : Technology & Engineering
Languages : en
Pages : 238

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Book Description
The statistical bootstrap is one of the methods that can be used to calculate estimates of a certain number of unknown parameters of a random process or a signal observed in noise, based on a random sample. Such situations are common in signal processing and the bootstrap is especially useful when only a small sample is available or an analytical analysis is too cumbersome or even impossible. This book covers the foundations of the bootstrap, its properties, its strengths and its limitations. The authors focus on bootstrap signal detection in Gaussian and non-Gaussian interference as well as bootstrap model selection. The theory developed in the book is supported by a number of useful practical examples written in MATLAB. The book is aimed at graduate students and engineers, and includes applications to real-world problems in areas such as radar and sonar, biomedical engineering and automotive engineering.

Bootstrapping in Signal Processing

Bootstrapping in Signal Processing PDF Author: Abdelhak M. Zoubir
Publisher: Morgan & Claypool
ISBN: 9781598290981
Category : Technology & Engineering
Languages : en
Pages : 100

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Book Description


Signal Processing for Intelligent Sensor Systems with MATLAB

Signal Processing for Intelligent Sensor Systems with MATLAB PDF Author: David C. Swanson
Publisher: CRC Press
ISBN: 1439896283
Category : Computers
Languages : en
Pages : 645

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Book Description
Signal Processing for Intelligent Sensors with MATLAB, Second Edition once again presents the key topics and salient information required for sensor design and application. Organized to make it accessible to engineers in school as well as those practicing in the field, this reference explores a broad array of subjects and is divided into sections:

Signal Processing for Intelligent Sensor Systems with MATLAB, Second Edition

Signal Processing for Intelligent Sensor Systems with MATLAB, Second Edition PDF Author: David C. Swanson
Publisher: CRC Press
ISBN: 1420043056
Category : Technology & Engineering
Languages : en
Pages : 686

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Book Description
Building on the unique features that made the first edition a bestseller, this second edition includes additional solved problems and web access to the large collection of MATLABTM scripts that are highlighted throughout the text. The book offers expanded coverage of audio engineering, transducers, and sensor networking technology. It also includes new chapters on digital audio processing, as well as acoustics and vibrations transducers. The text addresses the use of meta-data architectures using XML and agent-based automated data mining and control. The numerous algorithms presented can be applied locally or network-based to solve complex detection problems.

Robust Statistics for Signal Processing

Robust Statistics for Signal Processing PDF Author: Abdelhak M. Zoubir
Publisher: Cambridge University Press
ISBN: 1108680488
Category : Technology & Engineering
Languages : en
Pages : 315

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Book Description
Understand the benefits of robust statistics for signal processing with this authoritative yet accessible text. The first ever book on the subject, it provides a comprehensive overview of the field, moving from fundamental theory through to important new results and recent advances. Topics covered include advanced robust methods for complex-valued data, robust covariance estimation, penalized regression models, dependent data, robust bootstrap, and tensors. Robustness issues are illustrated throughout using real-world examples and key algorithms are included in a MATLAB Robust Signal Processing Toolbox accompanying the book online, allowing the methods discussed to be easily applied and adapted to multiple practical situations. This unique resource provides a powerful tool for researchers and practitioners working in the field of signal processing.

Nonlinear and Nonstationary Signal Processing

Nonlinear and Nonstationary Signal Processing PDF Author: W. J. Fitzgerald
Publisher: Cambridge University Press
ISBN: 9780521800440
Category : Mathematics
Languages : en
Pages : 510

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Book Description
Signal processing, nonlinear data analysis, nonlinear time series, nonstationary processes.

Image and Signal Processing

Image and Signal Processing PDF Author: Alamin Mansouri
Publisher: Springer
ISBN: 3319336185
Category : Computers
Languages : en
Pages : 408

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Book Description
This book constitutes the refereed proceedings of the 7th International Conference, ICISP 2016, held in May/June 2016 in Trois-Rivières, QC, Canada. The 40 revised full papers were carefully reviewed and selected from 83 submissions. The contributions are organized in topical sections on features extraction, computer vision, and pattern recognition; multispectral and color imaging; image filtering, segmentation, and super-resolution; signal processing; biomedical imaging; geoscience and remote sensing; watermarking, authentication and coding; and 3d acquisition, processing, and applications.

Signal Processing for Intelligent Sensor Systems

Signal Processing for Intelligent Sensor Systems PDF Author: David C. Swanson
Publisher: CRC Press
ISBN: 9780203909959
Category : Technology & Engineering
Languages : en
Pages : 636

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Book Description
"Integrates a broad range of physics, algorithms, and sensing techniques for development of intelligent systems. Highlights adaptive least-squared error modeling. Covers complex sampling, physical system modeling using digital filters, frequency domain processing, beamforming, and much more."

Analog Signal Processing and Instrumentation

Analog Signal Processing and Instrumentation PDF Author: Arie F. Arbel
Publisher: CUP Archive
ISBN: 9780521318662
Category : Computers
Languages : en
Pages : 466

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Book Description
Integrated circuits have revolutionised design electronics. This new paperback edition of Professor Arbel's text for electronic systems designers treats integrated circuits as black boxes whose properties are specified by the manufacturer and shows bow to design circuits that make the best use of them. This approach enables the designer to concentrate on the best way of using the circuit modules. A most valuable feature of the book is the presence of many practical problems together with their solutions. There is also a bibliography.

Model Validation and Uncertainty Quantification, Volume 3

Model Validation and Uncertainty Quantification, Volume 3 PDF Author: Robert Barthorpe
Publisher: Springer
ISBN: 3319548581
Category : Technology & Engineering
Languages : en
Pages : 378

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Book Description
Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 35th IMAC, A Conference and Exposition on Structural Dynamics, 2017, the third volume of ten from the Conference brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Model Validation and Uncertainty Quantification, including papers on: Uncertainty Quantification in Material Models Uncertainty Propagation in Structural Dynamics Practical Applications of MVUQ Advances in Model Validation & Uncertainty Quantification: Model Updating Model Validation & Uncertainty Quantification: Industrial Applications Controlling Uncertainty Uncertainty in Early Stage Design Modeling of Musical Instruments Overview of Model Validation and Uncertainty