Entropy and Information Optics"Identifies the relationship between entropy and information optics as the impetus for the research and development of high-speed, high-data-rate, and high-capacity communication systems. Examines computing, pattern recognition, and wavelet transformation." |
Contents
From the Series Editor Brian J Thompson | 1 |
Diffraction and Signal Analysis | 35 |
4 | 58 |
Optical Spatial Channel and Encoding Principles | 91 |
Entropy and Information | 95 |
References | 107 |
Image Restoration and Information | 175 |
Quantum Effect on Information Transmission | 195 |
Common terms and phrases
amount of information amplitude assumed average bandwidth basic beam binary Brillouin C. E. Shannon chamber channel capacity coding communication channel complex conditional entropy corresponding defined demon denote density detector diffraction discuss energy ensemble entropy and information entropy increase equation equiprobable example F. T. S. Yu fiber-optic communication Fourier transform function Gaussian high-frequency observation hv kT image restoration information provided information theory information transmission input signal LCTV light source limit linear log₂ maximum Maxwell's demon molecules mutual information negentropy neural network noise noted obtained optical channel optical fiber optical system output P₁ P₂ perfect shuffle photodetector photon channel physical plane probability distribution processing processor quantum radiation resolution cells result self-information shown in Fig signal levels SLMs smeared spatial coherence spatial domain spatial encoding spatial frequency spectral statistically independent STFT temperature temporal coherence thermal total number transmitted trapdoor wave wavelength wavelet window function