Reporting the state of the art of color image processing, this monograph fills an existing gap in the literature on digital signal and image processing. It can serve the needs of different users at different levels: as a textbook which covers a graduate image processing course, as a up-to-date reference for researchers since it offers a broad survey of the relevant literature, and as a relevant information source for development engineers who work in the design and the implementation of various image processing tasks. Part of the material in the book was the basis of seminars at the University of Toronto. The book contains numerous examples and pictures of color image processing results, as well as tables which summarize the results of the analysis. Algorithms implemented in JAVA can be downloaded from the author's website .

The use of digital signal processing is ubiquitous in the field of physiology and biomedical engineering. The application of such mathematical and computational tools requires a formal or explicit understanding of physiology. Formal models and analytical techniques are interlinked in physiology as in any other field. This book takes a unitary approach to physiological systems, beginning with signal measurement and acquisition, followed by signal processing, linear systems modelling, and computer simulations. The signal processing techniques range across filtering, spectral analysis and wavelet analysis. Emphasis is placed on fundamental understanding of the concepts as well as solving numerical problems. Graphs and analogies are used extensively to supplement the mathematics. Detailed models of nerve and muscle at the cellular and systemic levels provide examples for the mathematical methods and computer simulations. Several of the models are sufficiently sophisticated to be of value in understanding real world issues like neuromuscular disease. This second edition features expanded problem sets and a link to extra downloadable material.

This book is the first in a series of three dedicated to advanced topics in Mixed-Signal IC design methodologies. It is one of the results achieved by the Mixed-Signal Design Cluster, an initiative launched in 1998 as part of the TARDIS project, funded by the European Commission within the ESPRIT-IV Framework. This initiative aims to promote the development of new design and test methodologies for Mixed-Signal ICs, and to accelerate their adoption by industrial users. As Microelectronics evolves, Mixed-Signal techniques are gaining a significant importance due to the wide spread of applications where an analog front-end is needed to drive a complex digital-processing subsystem. In this sense, Analog and Mixed-Signal circuits are recognized as a bottleneck for the market acceptance of Systems-On-Chip, because of the inherent difficulties involved in the design and test of these circuits. Specially, problems arising from the use of a common substrate for analog and digital components are a main limiting factor. The Mixed-Signal Cluster has been formed by a group of 11 Research and Development projects, plus a specific action to promote the dissemination of design methodologies, techniques, and supporting tools developed within the Cluster projects. The whole action, ending in July 2002, has been assigned an overall budget of more than 8 million EURO.

Audio Signal Processing for Next-Generation Multimedia Communication Systems presents cutting-edge digital signal processing theory and implementation techniques for problems including speech acquisition and enhancement using microphone arrays, new adaptive filtering algorithms, multichannel acoustic echo cancellation, sound source tracking and separation, audio coding, and realistic sound stage reproduction. This book's focus is almost exclusively on the processing, transmission, and presentation of audio and acoustic signals in multimedia communications for telecollaboration where immersive acoustics will play a great role in the near future.

System-on-Chip for Real-Time Applications will be of interest to engineers, both in industry and academia, working in the area of SoC VLSI design and application. It will also be useful to graduate and undergraduate students in electrical and computer engineering and computer science.

This book presents collective works published in the recent Special Issue (SI) entitled " Digital Signal, Image and Video Processing for Emerging Multimedia Technology". These works address the emerging technology in signal processing and its new aspects, as well as the related applications. Recent developments in image/video-based deep learning technology have enabled new services in the field of multimedia and recognition technology.

This book gives a basic introduction to navigation, from key concepts, basic principles, main technologies, equipment systems to the knowledge frame of navigation. The ten chapters fall into three parts: Chapters I~III introduce the elementary knowledge of navigation; Chapters IV~IX are devoted to the basic principles, and the optimization principle of integrated navigation as well; and Chapter X discusses the application of marine navigation, indicating the basic outline of the marine navigation system. The book clearly reflects the systematic idea of navigation knowledge from multiple perspectives, which is helpful for readers to build a holistic understanding of navigation from the concept, principle, characteristics, technology to the equipment system. At the end of each chapter, reflections beyond the fundamental knowledge of navigation are included to help readers further develop their scientific thinking and general literacy. This book is written primarily for students majoring in navigation, and it may also be of interest to researchers and practitioners engaged in navigation.

This book provides a comprehensive overview of oscillators and their applications. It includes chapters on “MEMS and NEMS”, “Vibrations” and “Modeling”.

This book explores the use of wavelet transforms in signal processing, including image, finance, and communication systems. It covers five contemporary applications, including the interaction between inertial sensors and wavelet filtering techniques, geophysical prospecting, volatility patterns in asset returns, computerized tomography (CT), and fault detection techniques.

Design and Analysis of Analog Filters: A Signal Processing Perspective includes signal processing/systems concepts as well as implementation. While most books on analog filter design briefly present the signal processing/systems concepts, and then concentrate on a variety of filter implementation methods, the present book reverses the emphasis, stressing signal processing concepts. Filter implementation topics are presented in Part II: passive filters, and operational amplifier active filters. However, greater emphasis on signal processing/systems concepts is included in Part I of the book than is typical. This emphasis makes the book very appropriate as part of a signal processing curriculum.