Oppenheim. Signals and Systems (Second Edition) (English Edition)

Author: O. Papoulis et al. (USA)
Publisher:
Publish Date: 2004-08-01
Features: This book is one of the classic textbooks from the Massachusetts Institute of Technology (MIT) in the United States, discussing the fundamental theories, basic analysis methods, and applications of signal and system analysis. The book is divided into 11 chapters, primarily covering the basic theories of linear systems, fundamental concepts of signals and systems, linear time-invariant systems, Fourier representations of continuous and discrete signals, Fourier transforms, and analysis methods in the time and frequency domains. The authors have used numerous examples in filtering, sampling, communication, and feedback systems, and discuss the analysis methods of continuous systems, discrete systems, time-domain systems, and frequency-domain systems in parallel, enabling readers to thoroughly understand and compare the differences and similarities of various signal system analysis methods. This book can serve as a bilingual textbook for signal and system courses in communication and electronic systems, automation, and all electrical engineering disciplines. It can also be referenced by graduate students, teachers, and in other fields engaged in information acquisition, conversion, transmission, and processing. This book is one of the classic textbooks from the Massachusetts Institute of Technology in the United States, discussing the basic theories, basic analysis methods, and applications of signal and system analysis. The book is divided into 11 chapters: primarily covering the basic theories of linear systems, fundamental concepts of signals and systems, linear time-invariant systems, continuous sampling, communication, and feedback systems, and discussing in parallel the analysis methods of continuous systems, discrete systems, time-domain systems, and frequency-domain systems, so that readers can thoroughly understand and compare the differences and similarities of various signal system analysis methods.