The basic concepts of digital signal processing are introduced, building on fundamental principles and connecting theory and practice.
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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.
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Zustand: New. 2011. 1st Edition. Hardcover. The basic concepts of digital signal processing are introduced, building on fundamental principles and connecting theory and practice. Num Pages: 1008 pages, 400 colour illus. BIC Classification: TJK; UYS. Category: (U) Tertiary Education (US: College). Dimension: 194 x 253 x 43. Weight in Grams: 1792. Theory and Practice. 1008 pages, 400 colour illus. The basic concepts of digital signal processing are introduced, building on fundamental principles and connecting theory and practice. Cateogry: (U) Tertiary Education (US: College). BIC Classification: TJK; UYS. Dimension: 194 x 253 x 43. Weight: 1756. . . . . . Books ship from the US and Ireland. Artikel-Nr. V9780521110020
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Master the basic concepts and methodologies of digital signal processing with this systematic introduction, without the need for an extensive mathematical background. The authors lead the reader through the fundamental mathematical principles underlying the operation of key signal processing techniques, providing simple arguments and cases rather than detailed general proofs. Coverage of practical implementation, discussion of the limitations of particular methods and plentiful MATLAB illustrations allow readers to better connect theory and practice. A focus on algorithms that are of theoretical importance or useful in real-world applications ensures that students cover material relevant to engineering practice, and equips students and practitioners alike with the basic principles necessary to apply DSP techniques to a variety of applications. Chapters include worked examples, problems and computer experiments, helping students to absorb the material they have just read. Lecture slides for all figures and solutions to the numerous problems are available to instructors. Artikel-Nr. 9780521110020
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