ABSTRACT

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:

part I|2 pages

Fundamentals of Digital Signal Processing

chapter 1|15 pages

Sampled Data Systems

chapter 2|23 pages

z-Transform

chapter 3|21 pages

Digital Filtering

chapter 4|29 pages

Digital Audio Processing

chapter 5|27 pages

Linear Filter Applications

part II|4 pages

Frequency Domain Processing

chapter 6|42 pages

Fourier Transform

chapter 7|53 pages

Spectral Density

chapter 8|39 pages

Wavenumber Transforms

part III|2 pages

Adaptive System Identification and Filtering

chapter 9|17 pages

Linear Least-Squared Error Modeling

chapter 10|34 pages

Recursive Least-Squares Techniques

chapter 11|41 pages

Recursive Adaptive Filtering

part IV|3 pages

Wavenumber Sensor Systems

chapter 12|33 pages

Signal Detection Techniques

chapter 13|44 pages

Wavenumber and Bearing Estimation

chapter 14|41 pages

Adaptive Beamforming and Localization

part V|2 pages

Signal Processing Applications

chapter 15|38 pages

Noise Reduction Techniques

chapter 16|51 pages

Sensors and Transducers

chapter 17|70 pages

Intelligent Sensor Systems