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Digital Signal Processing: System Analysis and Design, by Paulo S. R. Diniz, Eduardo A. B. da Silva, Sergio L. Netto
Download Ebook Digital Signal Processing: System Analysis and Design, by Paulo S. R. Diniz, Eduardo A. B. da Silva, Sergio L. Netto
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This new, fully-revised edition covers all the major topics of digital signal processing (DSP) design and analysis in a single, all-inclusive volume, interweaving theory with real-world examples and design trade-offs. Building on the success of the original, this edition includes new material on random signal processing, a new chapter on spectral estimation, greatly expanded coverage of filter banks and wavelets, and new material on the solution of difference equations. Additional steps in mathematical derivations make them easier to follow, and an important new feature is the do-it-yourself section at the end of each chapter, where readers get hands-on experience of solving practical signal processing problems in a range of MATLAB experiments. With 120 worked examples, 20 case studies, and almost 400 homework exercises, the book is essential reading for anyone taking DSP courses. Its unique blend of theory and real-world practical examples also makes it an ideal reference for practitioners.
- Sales Rank: #1166721 in Books
- Brand: Cambridge University Press
- Published on: 2010-09-13
- Ingredients: Example Ingredients
- Original language: English
- Number of items: 1
- Dimensions: 9.69" h x 1.85" w x 7.44" l, 4.55 pounds
- Binding: Hardcover
- 912 pages
- Used Book in Good Condition
Review
From the first edition: 'This textbook covers, clearly and concisely, the core material of a DSP course ... it is suitable as the main text for an undergraduate DSP course or for a short course for practising engineers.' The Times Higher Education Supplement
From the first edition: 'An ideal textbook for students, it will also be a useful reference for engineers working on the development of signal processing systems ... An excellent authorship and an equally excellent editorial content and planning of the subject matter have helped to make the book an ideal acquisition for readers passionately devoted to the task of equipping themselves with tools that will enable them to design and analyze most digital signal processing systems.' Current Engineering Practice
From the first edition: 'This single, comprehensive volume covers all the major topics ...' Poptronics
About the Author
Paulo S. R. Diniz was born in Niterói, Brazil. He received the Electronics Engineer degree from the Universidade Federal do Rio de Janeiro (UFRJ) in 1978, the MSc degree from COPPE/UFRJ in 1981, and the PhD from Concordia University, Montreal, PQ, Canada, in 1984, all in electrical engineering. Since 1979, he has been with the undergraduate Department of Electronics and Computer Engineering at the UFRJ. He has also been with the graduate Program of Electrical Engineering at COPPE/UFRJ since 1984, where he is presently a Professor. He has also served as undergraduate course coordinator and as chairman of the graduate department. From January 1991 to July 1992, he was a visiting Research Associate in the Department of Electrical and Computer Engineering at the University of Victoria, Canada. In 2002 he served as Melchor Endowment Chair Professor in the Department of Electrical Engineering of the University of Notre Dame, USA. He has taught short courses at numerous institutions around the world. His teaching and research interests are in analog and digital signal processing, adaptive signal processing, digital communications, wireless communications, multirate systems, stochastic processes and electronic circuits. He has published over 250 refereed papers in some of these areas, has written two books and has received awards for best papers and technical achievements. He is also a Fellow of IEEE (for fundamental contributions to the design and implementation of fixed and adaptive filters and electrical engineering education) and has served as associate editor for the following journals: IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing (1996-1999), IEEE Transactions on Signal Processing (1999-2002) and Circuits, Systems and Signal Processing (1998-2002). He was a distinguished lecturer of the IEEE Circuits and Systems Society for the years 2000 to 2001 and served as distinguished lecturer of the IEEE Signal Processing Society in 2004.
Eduardo A. B. da Silva is an Associate Professor in the Department of Electronics and Computer Engineering at UFRJ, and in the Graduate Program of Electronic Engineering at COPPE/UFRJ.
Sergio L. Netto is an Associate Professor in the Department of Electonics and Computer Engineering at UFRJ, and in the Graduate Program of Electronic Engineering at COPPE/UFRJ.
Most helpful customer reviews
2 of 2 people found the following review helpful.
Very good description of advanced digital filtering techniques
By Aldebaro Klautau
This book proved very helpful when we were facing a challenging digital filter design problem. Using the standard FIR / IIR design techniques from classic textbooks our team was obtaining very high order filters (for example, a FIR with thousands of coefficients), and the hardware adopted for the project could not cope with the high computational cost. The book guided the team to evaluate modern digital filtering techniques, which ended up making the project feasible. Very clear treatment of advanced digital filtering. It is also a great DSP textbook.
0 of 0 people found the following review helpful.
not easy to follow
By C.B. Robinson
Very technical book, not easy to follow, but if you understand the concepts, you good.
4 of 7 people found the following review helpful.
Excellent reference for students, researchers, and practitioner engineers
By Prof. Wallace A. Martins
This is an excellent reference for those looking for a solid engineering-based approach to DSP theory and practice. The learners will benefit from many aspects of this book, such as the "Do-it-yourself" sections at the end of each chapter explaining how to put into practice some of the most important DSP concepts.
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