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:
Table of Contents
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.
