Applications of optical Fourier transforms
Theory and measurement of the optical fourier transform; Pattern recognition via complex spatial filtering; Particle identification and couting by fourier-optical pattern recognition; Signal processing using hybrid systems; Fourier optics and radar signal processing; Application of optical power spectra to photography image measurement; Fourier optics and SAW devices; Space-variant optical systems and processing; Fourier optics in nonlinear signal processing; Optical information processing and the human visual systems; Statistical pattern recognition using optical fourier transform features.
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Pattern Recognition via Complex Spatial Filtering
Signal Processing Using Hybrid Systems
Fourier Optics and Radar Signal Processing
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acoustic analysis aperture Appl applications array bandwidth beam bias Casasent Chapter coherent coherent-optical components convolution correlation curve described detection detector device diffraction order diffraction pattern discussed distribution Doppler effect electronic estimate feature film focal plane Fourier optics Fourier plane Fourier transform given grating halftone halftone screen hologram hybrid system illumination impulse response incoherent input integral intensity inverse irradiance laser light modulator light valve linear mask matched filter matrix measured Mellin transform noise object obtained operation optical correlation optical processor optical system output plane particle pattern recognition performed phase phased array photographic photographic film plane wave point nonlinearity point spread function power spectrum problem Proc pulse range real-time sample scanning Section shift shown in Fig signal processing smoothing space-variant spatial filtering spatial frequency spatial light modulator spectral Stark target techniques transfer function transparency two-dimensional values Vander Lugt vector visual system waveform wavelength window