Author: Nirode C. Mohanty
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 673
ISBN-13: 9401170444
DOWNLOAD EBOOK →Signal processing arises in the design of such diverse systems as communications, sonar, radar, electrooptical, navigation, electronic warfare and medical imaging systems. It is also used in many physical sciences, such as geophysics, acoustics, and meteorology, among many others. The common theme is to extract and estimate the desired signals, which are mixed with a variety of noise sources and disturbances. Signal processing involves system analysis, random processes, statistical inferences, and software and hardware implementation. The purpose of this book is to provide an elementary, informal introduction, as well as a comprehensive account of principles of random signal processing, with emphasis on the computational aspects. This book covers linear system analysis, probability theory, random signals, spectral analysis, estimation, filtering, and detection theory. It can be used as a text for a course in signal processing by under graduates and beginning graduate students in engineering and science and also by engineers and scientists engaged in signal analysis, filtering, and detection. Part of the book has been used by the author while teaching at the State University of New York at Buffalo and California State University at Long Beach. An attempt has been made to make the book self-contained and straight forward, with the hope that readers with varied backgrounds can appreciate and apply principles of signal processing. Chapter 1 provides a brief review of linear analysis of deterministic signals.
Author: United States. Hydrographic Office
Publisher:
Published: 1922
Total Pages: 496
ISBN-13:
DOWNLOAD EBOOK →Author: United States. Coast Guard
Publisher:
Published: 1966
Total Pages: 850
ISBN-13:
DOWNLOAD EBOOK →Author: Wand, Michael
Publisher: KIT Scientific Publishing
Published: 2015-02-04
Total Pages: 256
ISBN-13: 3731502119
DOWNLOAD EBOOK →Speech is the natural medium of human communication, but audible speech can be overheard by bystanders and excludes speech-disabled people. This work presents a speech recognizer based on surface electromyography, where electric potentials of the facial muscles are captured by surface electrodes, allowing speech to be processed nonacoustically. A system which was state-of-the-art at the beginning of this book is substantially improved in terms of accuracy, flexibility, and robustness.