Linear Systems and Signals (OXFORD SERIES ELECTRIC COMPUTER ENGINEER)

BP Lathi, Roger Green

ISBN 10: 0190200197 / ISBN 13: 9780190200190

Edité par OUP USA 2022-12-19, 2022

A propos de cet article

N° de réf. du vendeur 6666-GRD-9780190200190

Détails bibliographiques

• Titre: Linear Systems and Signals (OXFORD SERIES ELECTRIC COMPUTER ENGINEER)
• Éditeur: OUP USA 2022-12-19
• Date de parution: 2022
• Langue: anglais
• ISBN à 10 chiffres: 0190200197
• ISBN à 13 chiffres: 9780190200190
• Reliure: Paperback
• Édition: 3ème Édition
• État de l'article: New

A propos de ce titre

Synopsis

Linear Systems and Signals, Third Edition, is a textbook for the required junior-year signals and systems course in the typical Electrical Engineering department curriculum. The book's success lies in its thorough, inclusive presentation of key concepts supported by a unique, bottom-up explanation of the theories and reasoning behind the material. The heuristic approach is a trademark of Dr. Lathi's books and a vital reason why instructors who adopt the text stick with it.

This text shares many topics and features with Dr. Lathi's Signal Processing and Linear System, but differs in its sequence of topics, particularly in the placement of the Laplace transform ahead of the Fourier Transform. The two books cover much the same ground but their different organizations mirror the two different approaches in wide use by instructors.

À propos de l?auteur

B.P. Lathi is Professor Emeritus at California State University, Sacramento. He is author of Signals and Systems, Linear Systems and Signal Processing, Modern Digital and Analog Communication Systems, and Digital Signal Processing.

Roger Green is Associate Professor of Electrical Engineering at North Dakota State University. He has published numerous scholarly articles and given presentations on MATLAB, Signal Processing, and Fourier Analysis as a member of both the IEEE and ASEE. Along with four colleagues, he is the proud owner of a patent for a Vector Calibration System, designed to identify vector mismatch between a plurality of signal paths and frequencies.