Visual Communications and Image Processing II PDF Download
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Author: To Russell Hsing
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 490
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Book Description
Author: To Russell Hsing
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 490
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category : Image processing
Languages : en
Pages : 548
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Book Description
Author:
Publisher:
ISBN:
Category : Image processing
Languages : en
Pages : 540
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Book Description
Author: Ya-Qin Zhang
Publisher: CRC Press
ISBN: 9780824719289
Category : Computers
Languages : en
Pages : 584
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Book Description
Discusses recent advances in the related technologies of multimedia computers, videophones, video-over-Internet, HDTV, digital satellite TV and interactive computer games. The text analyzes ways of achieving more effective navigation techniques, data management functions, and higher throughout networking. It synthesizes data on visual information venues, tracking the enormous commercial potential for new components and compatible systems.
Author:
Publisher:
ISBN:
Category : Coding theory
Languages : en
Pages : 786
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Book Description
Author:
Publisher:
ISBN:
Category : Coding theory
Languages : en
Pages : 556
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Book Description
Author: Chris Toumazou
Publisher: John Wiley & Sons
ISBN: 9780780311701
Category : Technology & Engineering
Languages : en
Pages : 724
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Book Description
Available for the first time in paperback, this ground-breaking industry textbook is heralded as a first in its state-of-the-art coverage of the most important areas emerging in circuits and systems. It is compiled from course material used in a suite of one-day tutorials on circuits and systems designed expressly for engineers and research scientists who want to explore subjects outside, but related to, their immediate fields. Authored by 50 circuits and systems experts, this volume fosters a fundamental and authoritative understanding of each subject.
Author:
Publisher:
ISBN:
Category : Image processing
Languages : en
Pages : 526
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Book Description
Author: Richard Szeliski
Publisher: Springer Science & Business Media
ISBN: 1848829353
Category : Computers
Languages : en
Pages : 824
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Book Description
Computer Vision: Algorithms and Applications explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos. More than just a source of “recipes,” this exceptionally authoritative and comprehensive textbook/reference also takes a scientific approach to basic vision problems, formulating physical models of the imaging process before inverting them to produce descriptions of a scene. These problems are also analyzed using statistical models and solved using rigorous engineering techniques. Topics and features: structured to support active curricula and project-oriented courses, with tips in the Introduction for using the book in a variety of customized courses; presents exercises at the end of each chapter with a heavy emphasis on testing algorithms and containing numerous suggestions for small mid-term projects; provides additional material and more detailed mathematical topics in the Appendices, which cover linear algebra, numerical techniques, and Bayesian estimation theory; suggests additional reading at the end of each chapter, including the latest research in each sub-field, in addition to a full Bibliography at the end of the book; supplies supplementary course material for students at the associated website, http://szeliski.org/Book/. Suitable for an upper-level undergraduate or graduate-level course in computer science or engineering, this textbook focuses on basic techniques that work under real-world conditions and encourages students to push their creative boundaries. Its design and exposition also make it eminently suitable as a unique reference to the fundamental techniques and current research literature in computer vision.
Author: Rangaraj M. Rangayyan
Publisher: John Wiley & Sons
ISBN: 1119825857
Category : Science
Languages : en
Pages : 724
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Book Description
Biomedical Signal Analysis Comprehensive resource covering recent developments, applications of current interest, and advanced techniques for biomedical signal analysis Biomedical Signal Analysis provides extensive insight into digital signal processing techniques for filtering, identification, characterization, classification, and analysis of biomedical signals with the aim of computer-aided diagnosis, taking a unique approach by presenting case studies encountered in the authors’ research work. Each chapter begins with the statement of a biomedical signal problem, followed by a selection of real-life case studies and illustrations with the associated signals. Signal processing, modeling, or analysis techniques are then presented, starting with relatively simple “textbook” methods, followed by more sophisticated research-informed approaches. Each chapter concludes with solutions to practical applications. Illustrations of real-life biomedical signals and their derivatives are included throughout. The third edition expands on essential background material and advanced topics without altering the underlying pedagogical approach and philosophy of the successful first and second editions. The book is enhanced by a large number of study questions and laboratory exercises as well as an online repository with solutions to problems and data files for laboratory work and projects. Biomedical Signal Analysis provides theoretical and practical information on: The origin and characteristics of several biomedical signals Analysis of concurrent, coupled, and correlated processes, with applications in monitoring of sleep apnea Filtering for removal of artifacts, random noise, structured noise, and physiological interference in signals generated by stationary, nonstationary, and cyclostationary processes Detection and characterization of events, covering methods for QRS detection, identification of heart sounds, and detection of the dicrotic notch Analysis of waveshape and waveform complexity Interpretation and analysis of biomedical signals in the frequency domain Mathematical, electrical, mechanical, and physiological modeling of biomedical signals and systems Sophisticated analysis of nonstationary, multicomponent, and multisource signals using wavelets, time-frequency representations, signal decomposition, and dictionary-learning methods Pattern classification and computer-aided diagnosis Biomedical Signal Analysis is an ideal learning resource for senior undergraduate and graduate engineering students. Introductory sections on signals, systems, and transforms make this book accessible to students in disciplines other than electrical engineering.
