Signal Processing for Intelligent Sensor Systems

Fundamentals of digital signal processing: sampled data systems; the Z-transform; digital filtering; linear filter applications. Frequency domain processing: the Fourier transform; spectral density; wavenumber transforms. Adaptive system identification and filtering: linear least-squared error-modelling; recursive least-squared techniques; recursive adaptive filtering. Wavenumber sensor systems: narrowband PD and FAR; wavenumber field estimation; adaptive beamforming. Signal processing applications: intelligent sensor systems; transducers, electronics, and noise reduction techniques.