Signal Processing for Intelligent Sensor Systems with MATLAB
2nd Edition
Published on 21. July 2011
683 pages
978-1-4398-7950-4 (ISBN)
Description
Signal Processing for Intelligent Sensors with MATLAB, Second Edition once again presents the key topics and salient information required for sensor design and application. Organized to make it accessible to engineers in school as well as those practicing in the field, this reference explores a broad array of subjects and is divided into sections:
More details
Edition
2nd edition
Language
English
Place of publication
Baton Rouge
United States
Publishing group
Taylor & Francis Inc
Target group
College/higher education
Engineers developing intelligent sensor and control systems; those working in intelligent computing; advanced undergraduate and graduate students taking adaptive signal processing courses.
Edition type
Revised edition
Illustrations
380 s/w Abbildungen
380 b/w images
ISBN-13
978-1-4398-7950-4 (9781439879504)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
David C. Swanson
Signal Processing for Intelligent Sensor Systems with MATLAB
Book
10/2017
2nd Edition
CRC Press
€122.00
Shipment within 10-20 days
David C. Swanson
Signal Processing for Intelligent Sensor Systems with MATLAB
Book
07/2011
2nd Edition
CRC Press
€296.70
Shipment within 15-20 days
Person
David C. Swanson
Content
Fundamentals of Digital Signal Processing:Sampled Data Systems. Z-Transform. Digital Filtering. Digital Audio Processing. Linear Filter Applications. Frequency Domain Processing: Fourier Transform. Spectral Density. Wavenumber Transforms. Adaptive System Identification and Filtering: Linear Least-Squared Error Modeling. Recursive Least-Squares Techniques. Recursive Adaptive Filtering. Wavenumber Sensor Systems: Signal Detection Techniques. Wavenumber and Bearing Estimation. Adaptive Beamforming and Localization. Signal Processing Applications: Noise Reduction Techniques. Sensors and Transducers. Intelligent Sensor Systems.
