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Multimedia Signals and Systems: Basic and Advanced Algorithms for Signal Processing

ISBN-13: 9783319239484 / Angielski / Twarda / 2016 / 391 str.

Srdjan Stankovi; Irena Orovic; Ervin Sejdi
Multimedia Signals and Systems: Basic and Advanced Algorithms for Signal Processing Stankovic, Srdjan 9783319239484 Springer - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Multimedia Signals and Systems: Basic and Advanced Algorithms for Signal Processing

ISBN-13: 9783319239484 / Angielski / Twarda / 2016 / 391 str.

Srdjan Stankovi; Irena Orovic; Ervin Sejdi
cena 403,47
(netto: 384,26 VAT:  5%)

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This book is designed for students, professionals and researchers in the field of multimedia and related fields with a need to learn the basics of multimedia systems and signal processing. Emphasis is given to the analysis and processing of multimedia signals (audio, images, and video). Detailed insight into the most relevant mathematical apparatus and transformations used in multimedia signal processing is given. A unique relationship between different transformations is also included, opening new perspectives for defining novel transforms in specific applications. Special attention is dedicated to the compressive sensing area, which has a great potential to contribute to further improvement of modern multimedia systems. In addition to the theoretical concepts, various standard and more recently accepted algorithms for the reconstruction of different types of signals are considered. Additional information and details are also provided to enable a comprehensive analysis of audio and video compression algorithms. Finally, the book connects these principles to other important elements of multimedia systems, such as the analysis of optical media, digital watermarking, and telemedicine.New to this edition: Introduction of the generalization concept to consolidate the time-frequency signal analysis, wavelet transformation, and Hermite transformationInclusion of prominent robust transformation theory used in the processing of noisy multimedia data as well as advanced multimedia data filtering approaches, including image filtering techniques for impulse noise environmentExtended video compression algorithmsDetailed coverage of compressive sensing in multimedia applications

Kategorie:
Informatyka, Bazy danych
Kategorie BISAC:
Medical > Medycyna
Science > Biofizyka
Computers > Hardware - General
Wydawca:
Springer
Język:
Angielski
ISBN-13:
9783319239484
Rok wydania:
2016
Wydanie:
2016
Ilość stron:
391
Waga:
7.51 kg
Wymiary:
23.5 x 15.5
Oprawa:
Twarda
Wolumenów:
01
Dodatkowe informacje:
Wydanie ilustrowane

1.Mathematical transforms used for multimedia signal processing.- 2.Digital audio.- 3.Storing and transmission of digital audio signals.- 4.Digital image.- 5.Digital video.- 6.Compressive sensing.- 7.Digital Watermarking.- 8.Multimedia signals and systems in telemedicine.
 

This book covers the basics of multimedia systems and signal processing. Emphasis is given to the analysis and processing of multimedia signals (audio, images, and video). Detailed insight into the most relevant mathematical apparatus and transformations used in multimedia signal processing is given. A unique relationship between different transformations is also included, opening new perspectives for defining novel transforms in specific applications. Special attention is dedicated to the compressive sensing area, which has a great potential to contribute to further improvement of modern multimedia systems. In addition to the theoretical concepts, various standard and more recently accepted algorithms for the reconstruction of different types of signals are considered. Finally, the book connects these principles to other important elements of multimedia systems, such as the analysis of optical media, digital watermarking, and telemedicine. This book is an ideal book for students, professionals, and researchers in the field of multimedia and related fields with a need to learn the fundamentals of multimedia systems and signal processing.

New to this edition:

Introduction of the generalization concept to consolidate the time-frequency signal analysis, wavelet transformation, and Hermite transformation 

Inclusion of prominent robust transformation theory used in the processing of noisy multimedia data as wel

l as advanced multimedia data filtering approaches, including image filtering techniques for impulse noise environment

Extended video compression algorithms

Detailed coverage of compressive sensing in multimedia applications



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