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Guide to Voice and Video over IP

For Fixed and Mobile Networks

By: Lingfen Sun,Is-Haka Mkwawa,Emmanuel Jammeh,Emmanuel Ifeachor

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Guide to Voice and Video over IP

For Fixed and Mobile Networks

By: Lingfen Sun,Is-Haka Mkwawa,Emmanuel Jammeh,Emmanuel Ifeachor

This book presents a review of the latest advances in speech and video compression, computer networking protocols, the assessment and monitoring of VoIP quality, and next generation network architectures for multimedia services. The book also concludes with three case studies, each presenting easy-to-follow step-by-step instructions together with challenging hands-on exercises. Features: provides illustrative worked examples and end-of-chapter problems; examines speech and video compression techniques, together with speech and video compression standards; describes the media transport protocols RTP and RTCP, as well as the VoIP signalling protocols SIP and SDP; discusses the concepts of VoIP quality of service and quality of experience; reviews next-generation networks based on the IP multimedia subsystem and mobile VoIP; presents case studies on building a VoIP system based on Asterisk, setting up a mobile VoIP system based on Open IMS and Android mobile, and analysing VoIP protocols and quality.

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Page Count

279

Publisher

Springer Science & Business Media

Published Date

ISBN 10

144714905X

ISBN 13

9781447149057

Artificial Neural Networks in Biomedicine

By: Paulo J.G. Lisboa,Emmanuel C. Ifeachor,Piotr S. Szczepaniak

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Artificial Neural Networks in Biomedicine

By: Paulo J.G. Lisboa,Emmanuel C. Ifeachor,Piotr S. Szczepaniak

This volume provides a state-of-the-art survey of artificial neural network applications in biomedical diagnosis, laboratory data analysis and related practical areas. It looks at biomedical applications which involve customising neural network technology to resolve specific difficulties with data processing, and deals with applications relating to particular aspects of clinical practice and laboratory or medically-related analysis. Each chapter is self-contained with regard to the technology used, covering important technical points and implementation issues like the design of user interfaces and hardware/software platforms. Artificial Neural Networks in Biomedicine will be of interest to computer scientists and neural network practitioners who want to extend their knowledge of issues relevant to biomedical applications, developers of clinical computer systems, and medical researchers looking for new methods and computational tools.

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Page Count

314

Publisher

Springer Science & Business Media

Published Date

ISBN 10

1852330058

ISBN 13

9781852330057