"Integrates a broad range of physics, algorithms, and sensing techniques for development of intelligent systems. Highlights adaptive least-squared error modeling. Covers complex sampling, physical system modeling using digital filters, frequency domain processing, beamforming, and much more."
Signal Processing for Intelligent Sensor Systems
โ Scribed by David C. Swanson
- Publisher
- Marcel Dekker
- Year
- 2000
- Tongue
- English
- Leaves
- 631
- Series
- Signal Processing and Communications, Vol. 4
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
<P><STRONG>Signal Processing for Intelligent Sensors with MATLAB</STRONG><SUP>ยฎ</SUP><STRONG>, Second Edition</STRONG> 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 practi
<p><span>This book covers four sections such as artificial intelligence and machine learning; VLSI and signal processing; robotics and automation; and communications and networking. This book is a collection of selected papers presented at the First International Conference on Innovations in Signal
''In the last decade, wireless or wired sensor networks have attracted much attention. However, most designs target general sensor network issues including protocol stack (routing, MAC, etc.) and security issues. This book focuses on the close integration of sensing, networking, and smart signal pro
<p>Although governments worldwide have invested significantly in intelligent sensor network research and applications, few books cover intelligent sensor networks from a machine learning and signal processing perspective. Filling this void, <strong>Intelligent Sensor Networks: The Integration of Sen