Algorithmic Information Theory : Mathematics of Digital Information / by Peter Seibt.

Por:

Seibt, Peter [autor]

Colaborador(es):

SpringerLink (Servicio en línea)

Tipo de material: Texto

TextoSeries Signals and Communication TechnologyEditor: Berlin, Heidelberg : Springer Berlin Heidelberg, 2006Descripción: vI, 443 páginas recurso en líneaTipo de contenido:

texto

Tipo de medio:

computadora

Tipo de portador:

recurso en línea

ISBN:

9783540332190

Formatos físicos adicionales: Edición impresa:: Sin títuloClasificación LoC:

QA76.9.A43

Recursos en línea:

Conectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)

Contenidos:

Data Compaction -- Cryptography -- Information Theory and Signal Theory: Sampling and Reconstruction -- Error Control Codes -- Data Reduction: Lossy Compression.

Resumen: This book treats the Mathematics of many important areas in digital information processing. It covers, in a unified presentation, five topics: Data Compression, Cryptography, Sampling (Signal Theory), Error Control Codes, Data Reduction. The thematic choices are practice-oriented. So, the important final part of the book deals with the Discrete Cosine Transform and the Discrete Wavelet Transform, acting in image compression. The presentation is dense, the examples and numerous exercises are concrete. The pedagogic architecture follows increasing mathematical complexity. A read-and-learn book on Concrete Mathematics, for teachers, students and practitioners in Electronic Engineering, Computer Science and Mathematics.

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Springer eBooks

Data Compaction -- Cryptography -- Information Theory and Signal Theory: Sampling and Reconstruction -- Error Control Codes -- Data Reduction: Lossy Compression.

This book treats the Mathematics of many important areas in digital information processing. It covers, in a unified presentation, five topics: Data Compression, Cryptography, Sampling (Signal Theory), Error Control Codes, Data Reduction. The thematic choices are practice-oriented. So, the important final part of the book deals with the Discrete Cosine Transform and the Discrete Wavelet Transform, acting in image compression. The presentation is dense, the examples and numerous exercises are concrete. The pedagogic architecture follows increasing mathematical complexity. A read-and-learn book on Concrete Mathematics, for teachers, students and practitioners in Electronic Engineering, Computer Science and Mathematics.

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