Digital signal processing (DSP)

This book presents the complex topic of using computational intelligence for pattern recognition in a straightforward and applicable way, using Matlab to illustrate topics and concepts.

This book discusses the computational geometry, topology and physics of digital images and video frame sequences.

This book describes novel and disruptive architecture and circuit design techniques, toward the realization of low-power, standard-compliant radio architectures and silicon implementation of the circuits required for a variety of leading-edge applications.

This essentially self-contained, deliberately compact, and user-friendly textbook is designed for a first, one-semester course in statistical signal analysis for a broad audience of students in engineering and the physical sciences.

This proceeding features papers discussing big data innovation for sustainable cognitive computing.

This volume presents several machine intelligence technologies, developed over recent decades, and illustrates how they can be combined in application.

This book introduces readers to all the necessary components and knowledge to start being a vital part of the IoT revolution.

This book presents a tutorial review of van der Pol model, a universal oscillator model for the analysis of modern RC-oscillators in weak and strong nonlinear regimes.

This book provides comprehensive coverage of the protocols of communication systems.

This book introduces new methods to analyze vertex-varying graph signals.

This book provides readers with a comprehensive treatment of the principles, circuit design techniques, and applications of injection-locking in mixed-mode signal processing, with an emphasis on CMOS implementation.

This Festschrift is in honor of Marilyn Wolf,  on the occasion of her 60th birthday.

This book shows how to model selected communication scenarios using game theory.

This book describes for readers various technical outcomes from the EU-project IoSense.

This book provides an insight into recent technological trends and innovations in mobility solutions and platforms to improve mobility of visually impaired people.

This book introduces audio watermarking methods in transform domain based on matrix decomposition for copyright protection.

This book offers a rigorous mathematical analysis of fuzzy geometrical ideas.

This book provides insight and expert advice on the challenges of Trust, Identity, Privacy, Protection, Safety and Security (TIPPSS) for the growing Internet of Things (IoT) in our connected world.

The focus of this book is on array processing and beamforming with Kronecker products.

This book focuses on pose estimation algorithms for Autonomous Underwater Vehicles (AUVs).

This comprehensive two semester textbook, now in its 4th edition, continues to provide students with a thorough theoretical understanding of electromagnetic field relations while also providing numerous practical applications.

This book highlights the need for an efficient Handover Decision (HD) mechanism to perform switches from one network to another and to provide unified and continuous mobile services that include seamless connectivity and ubiquitous service access.

This Springerbreif  introduces a threshold-based channel sparsification approach, and then, the sparsity is exploited for scalable channel training.

This book presents a novel logarithmic conversion architecture based on cross-coupled inverter.

Advances in Hinfinity Control Theory is concerned with state-of-the-art developments in three areas:the extended treatment of mostly deterministic switched systems with dwell-time;the control of retarded stochastic state-multiplicative noisy systems; anda new approach to the control of biochemical systems, exemplified by the threonine synthesis and glycolytic pathways.

This book provides an overview of computational approaches to medical image examination and analysis in oral radiology, utilizing dental radiograph to detect and diagnose dental caries in cases of decayed teeth.

This 16th International Conference on Information Technology - New Generations (ITNG), continues an annual event focusing on state of the art technologies pertaining to digital information and communications.

This book includes a collection of state-of-the-art contributions addressing both theoretical developments in, and successful applications of, seismic structural health monitoring (S2HM).

This book presents a unique approach to stream data mining.

This book is divided into two parts.

This book introduces methods of re-processing images to extract numerical information that can be used to quantify the observables in environmental modelling.

This book presents the state-of-the-art and breakthrough innovations in design automation for cyber-physical systems.

This book presents a study of the most important methods of image segmentation and how they are extended and improved using metaheuristic algorithms.

This book provides a comprehensive introduction to the OMNeT++ simulation environment and an overview of its ecosystem of ever-growing frameworks, which provide simulation models for diverse communication systems, protocols, and standards.

Topics in Modal Analysis & Testing, Volume 8:  Proceedings of the 37th IMAC, A Conference and Exposition on Structural Dynamics, 2019, the eighth volume of eight from the Conference brings together contributions to this important area of research and engineering.

This book introduces advanced and hybrid compression techniques specifically used for medical images.

This book enables readers to achieve ultra-low energy digital system performance.

The increasing interest in the bio-impedance analysis in various fields has increased the demand for portable and low-cost impedance analyzers that can be used in the field.

This textbook presents an introduction to signal processing for audio applications.

This book provides readers with the necessary background information and advanced concepts in the field of circuits, at the crossroads between physics, mathematics and system theory.

This book presents a broad range of deep-learning applications related to vision, natural language processing, gene expression, arbitrary object recognition, driverless cars, semantic image segmentation, deep visual residual abstraction, brain-computer interfaces, big data processing, hierarchical deep learning networks as game-playing artefacts using regret matching, and building GPU-accelerated deep learning frameworks.

This book is aimed at researchers, industry professionals and students interested in the broad ranges of disciplines related to condition monitoring of machinery working in non-stationary conditions.

This thesis discusses the physical and information theoretical limits of optical 3D metrology, and, based on these principal considerations, introduces a novel single-shot 3D video camera that works close to these limits.

This book demonstrates the implementation of an automated measuring system for very efficient measurement of chromatic dispersion, which uses a modulation phase shift method over long haul of optical single mode fiber.

This book describes in detail different types of vibration signals and the signal processing methods, including signal resampling and signal envelope, used for condition monitoring of drivetrains.

This book discusses the design and implementation aspects of ultra-low power biosignal acquisition platforms that exploit analog-assisted and algorithmic approaches for power savings.

This book is addressed to newcomers to error control coding (ECC), making the subject easy to understand and to apply in a variety of cases.

This book continues first one of the same authors "e;Adaptive Image Processing Algorithms for Printing"e; and presents methods and software solutions for copying and scanning various types of documents by conventional office equipment, offering techniques for correction of distortions and enhancement of scanned documents; techniques for automatic cropping and de-skew; approaches for segmentation of text and picture regions; documents classifiers; approach for vectorization of symbols by approximation of their contour by curves; methods for optimal compression of scanned documents, algorithm for stitching parts of large originals; copy-protection methods by microprinting and embedding of hidden information to hardcopy; algorithmic approach for toner saving.

This textbook offers an accessible introduction to the theory and numerics of approximation methods, combining classical topics of approximation with recent advances in mathematical signal processing, and adopting a constructive approach, in which the development of numerical algorithms for data analysis plays an important role.

This book provides an overview of the most recent developments in Internet of Things (IoT) security and data protection.