Applied Digital Signal Processing :Theory and Practice
Applied Digital Signal Processing :Theory and Practice
hardback
Published:
21 November, 2011
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Description
More Details
| Type | Book |
|---|---|
| ISBN13 | 9780521110020 |
| ISBN10 | 0521110025 |
| Number Of Pages | 1008 |
| Item Weight | 1750 g |
| Product Dimensions | 195 x 253 x 41 mm |
| Publisher / Reseller | Cambridge University Press |
| Format | hardback |
Media Reviews
'The primary advantage of this book is the integrated inclusion of MATLAB throughout … in some textbooks the MATLAB components appear to have been added as an afterthought.' Richard M. Dansereau, Carleton University, Ontario
'… a good balance between the depth and clarity of discussion of important topics in DSP and the requirement of mathematical adequacy for the students. This textbook matches with the background of my students.' Yuanwei Jin, University of Hartford, Connecticut
'The innovative figures help students visualise complicated concepts.' Thad B. Welch, Boise State University
'A main strength of this book is its inclusion of MATLAB throughout. There are other books that do this, but I think that MATLAB is more integrated in this book than in the competing books. It provides an appropriate amount of information when it is needed, without overwhelming the reader with excessive detail.' Matthew Valenti, West Virginia University
GoodReads Reviews
Author's Bio
Dimitris G. Manolakis is currently a Member of Technical Staff at MIT Lincoln Laboratory in Lexington, Massachusetts. Prior to this he was a Principal Member of Research Staff at Riverside Research Institute. Since receiving his Ph.D. in Electrical Engineering from the University of Athens in 1981, he has taught at various institutions including Northeastern University, Boston College, and Worcester Polytechnic Institute and co-authored two textbooks on signal processing. His research experience and interests include the areas of digital signal processing, adaptive filtering, array processing, pattern recognition, remote sensing and radar systems. Vinay K. Ingle is currently an Associate Professor in the Department of Electrical and Computer Engineering at Northeastern University, where he has worked since 1981 after receiving his Ph.D. in Electrical and Computer Engineering from Rensselaer Polytechnic Institute. He has taught both undergraduate and graduate courses in many diverse areas including systems, signal/image processing, communications and control theory, and has co-authored several textbooks on signal processing. He has broad research experience in the areas of signal and image processing, stochastic processes and estimation theory. Currently he is actively involved in hyperspectral imaging and signal processing.