Digital Signal Processing: An Introduction - Rilegato

Sundararajan, D.

Rilegato

ISBN 10: 303062367X ISBN 13: 9783030623678

Casa editrice: Springer Nature, 2021

Riassunto

This textbook for a one semester  introductory course in digital signal processing for senior undergraduate and first year graduate students in electrical and computer engineering departments is concise,  highly readable, and  yet provides comprehensive coverage of the topic. Each new topic is presented with examples and figures. The highly mathematical content of the topic is presented lucidly to make the learning the subject easier. Practical aspects of the subject are clearly indicated so that the student can apply the principles in real applications.  Matlab programs for FIR filter design are provided as supplementary material online.

Su questo libro

Informazioni sull?autore

Dr. D. Sundararajan was a former Professor at Concordia University, Montreal, Canada.  As the principal inventor of the latest family of DFT algorithms, he has written seven books, three Patents, and several papers in IEEE Transactions and in the Proceedings of IEEE Conferences.

Dalla quarta di copertina

This textbook for a one semester  introductory course in digital signal processing for senior undergraduate and first year graduate students in electrical and computer engineering departments is concise,  highly readable, and  yet provides comprehensive coverage of the topic. Each new topic is presented with examples and figures. The highly mathematical content of the topic is presented lucidly to make the learning the subject easier. Practical aspects of the subject are clearly indicated so that the student can apply the principles in real applications.  Matlab programs for FIR filter design are provided as supplementary material online.

• Written to be accessible to students of varying backgrounds, this textbook explains digital signal processing from both a theoretical and practical point of view
• Presents concepts in a clear, concise and comprehensive manner, so that students can learn easily this highly mathematical topic
• Provides detailed coverage of various types of filter design, including an introduction to the discrete wavelet transform
• Includes worked examples throughout every chapter, with an emphasis on real applications
• Includes numerous exercises at the end of each chapter
• Provides Matlab programs for FIR filter design, as supplementary material online

Dettagli dell?edizione

• Editore: Springer Nature
• Data di pubblicazione: 2021
• Lingua: Inglese
• ISBN 10: 303062367X
• ISBN 13: 9783030623678
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 399
• Contatto del produttore: {language_tag:it_IT,value:"Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com"}