Language : English
Published : 2013-07-23
Pages : 1024
Digital Signal Processing
A significant revision of a best-selling text for the introductory digital signal processing course. This book presents the fundamentals of discrete-time signals, systems, and modern digital processing and applications for students in electrical engineering, computer engineering, and computer science.The book is suitable for either a one-semester or a two-semester undergraduate level course in discrete systems and digital signal processing. It is also intended for use in a one-semester first-year graduate-level course in digital signal processing.
The authors present the background, notation, and nomenclature essential for students to understand the various and independent technical approaches, that exist in the field of mechanism, kinematics, and dynamics. Coverage of all analysis and development methods is balanced, with the use of both analytic and graphic tools. This text is ideal for undergraduate students of mechanical engineering.
The author emphasizes the physical appreciation of concepts rather than the mere mathematical manipulation of symbols. Avoiding the tendency to treat engineering as a branch of applied mathematics, the text uses mathematics not so much to prove an axiomatic theory as to enhanced physical and intuitive understanding of concepts. Theoretical results are supported by examples and analogies, allowing students to intuitively discover meaning for themselves.
Stutzman’s 3rd edition of Antenna Theory and Design provides a more pedagogical approach with a greater emphasis on computational methods. New features include additional modern material to make the text more exciting and relevant to practicing engineers; new chapters on systems, low-profile elements and base station antennas; organizational changes to improve understanding; more details to selected important topics such as microstrip antennas and arrays; and expanded measurements topic.
The text emphasizes physical appreciation of concepts through heuristic reasoning, metaphors, analogies, and creative explanation. Such as approach is different from a purely deductive technique that uses mere mathematical manipulation of symbols and ignores the physical meaning behind various derivations. The author uses mathematics not so much to prove axiomatic theory as to support and enhance physical and intuitive understanding. Theoretical results are interpreted heuristically and are enhanced by carefully chosen examples and analogies.