Applications of Optical Fourier TransformsHenry Stark 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. |
Contents
Pattern Recognition via Complex Spatial Filtering | 41 |
Signal Processing Using Hybrid Systems | 131 |
Fourier Optics and Radar Signal Processing | 209 |
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amplitude analysis antenna Appl applications autocorrelation back focal plane bandwidth beam bias Casasent cell coherent coherent-optical correlation detection detector device diatoms diffraction pattern digital computer discussed distribution Doppler Doppler shift effect electronic estimate film Fourier optics Fourier plane Fourier transform Fourier-optical given halftone hologram holographic hybrid system IEEE impulse response incoherent input integral intensity interface inverse laser lens light modulator light valve mask matched filter matrix measurements Mellin transform noise nonlinear object obtained operation optical correlation optical processor optical system optimum output particles pattern recognition perform phased array photographic photographic film plane wave power spectrum problem Proc pulse radar signal range real-time resolution result rotation sampling scanning Section shift shown in Fig signal processing signal-to-noise smoothing space-variant spatial filter spatial frequency spatial light modulator spectral Stark Sw(u target technique Trans transfer function transmittance two-dimensional Vander Lugt waveform window