Kategoria BISAC: Technology & Engineering >> Signals & Signal Processing

This book offers students and those new to the topic of analog-to-digital converters (ADCs) a broad introduction, before going into details of the state-of-the-art design techniques for SAR and DS converters, including the latest research topics, which are valuable for IC design engineers as well as users of ADCs in applications. The book then addresses important topics, such as correct connectivity of ADCs in an application, the verification, characterization and testing of ADCs that ensure high-quality end products.

Analog-to-digital converters are the central element in any data...

A practical introduction to intelligent computer vision theory, design, implementation, and technology

The past decade has witnessed epic growth in image processing and intelligent computer vision technology. Advancements in machine learning methods--especially among adaboost varieties and particle filtering methods--have made machine learning in intelligent computer vision more accurate and reliable than ever before. The need for expert coverage of the state of the art in this burgeoning field has never been greater, and this book satisfies that need. Fully updated and...

Es wird die Entwicklung eines modularen Robotersystems beschrieben, das bisher manuell erledigte Arbeitsschritte automatische durchfuhrt. Ziel einer solchen Automatisierung ist einerseits den notigen Persomal- und Kostenaufwand zu reduzieren und wissenschaftiche Erkentnisse schneller und leichter zu erzielen. Hierzu werden ein Roboter zur Probevorbereitung und ein Roboter zur zweistufigen Untersuchung von Proben mit automatischer Erkennung des interessierenden Bereiches entwickelt. Ein weiterer Aspekt ist die Steigerung der Effizienz hochauflosender, bildgebender Laboranalytik. Hierzu...

This book discusses the use of the spectrum sharing techniques in cognitive radio technology, in order to address the problem of spectrum scarcity for future wireless communications. The authors describe a cognitive radio medium access control (MAC) protocol, with which throughput maximization has been achieved. The discussion also includes use of this MAC protocol for imperfect sensing scenarios and its effect on the performance of cognitive radio systems. The authors also discuss how energy efficiency has been maximized in this system, by applying a simple algorithm for optimizing the...

TV White Space Communications and Networks summarizes the current state-of-the-art in this important aspect of wireless communication. Part One covers related technologies, while Part Two looks at policy, regulation and standardization issues. Part Three discusses the commercialization and potential applications of white space networks, rounding out a comprehensive book that provides a standard reference for those researching and commercializing white space networks.

• Presents broad-ranging coverage of all the key issues in white space networks, including regulation,...

Orthogonal Waveforms and Filter Banks for Future Communication Systems provides an up-to-date account of orthogonal filter bank-based multicarrier (FBMC) systems and their applications in modern and future communications, highlighting the crucial role that advanced multicarrier waveforms play. It is an up-to-date overview of the theory, algorithms, design and applications of FBMC systems at both the link- and system levels that demonstrates the various gains offered by FBMC over existing transmission schemes via both simulation and test bed experiments. Readers will learn the...

Resource Efficient LDPC Decoders: From Algorithms to Hardware Architectures takes a practical hands-on approach to developing low complexity algorithms and how to transform them into working hardware. It follows a complete design approach, from algorithms to hardware architectures, and addresses some of the challenges associated with their design, providing insight into implementing innovative architectures based on low complexity algorithms. Readers will learn modern techniques to design, model and analyze low complexity LDPC algorithms, along with tactics on their hardware...

This book focuses on the application of canonical correlation analysis (CCA) to speech enhancement using the filtering approach. The authors explain how to derive different classes of time-domain and time-frequency-domain noise reduction filters, which are optimal from the CCA perspective for both single-channel and multichannel speech enhancement. Enhancement of noisy speech has been a challenging problem for many researchers over the past few decades and remains an active research area. Typically, speech enhancement algorithms operate in the short-time Fourier transform (STFT) domain,...