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Lecturer(s)
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Vítek Marek, Mgr.
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Řeháček Jaroslav, prof. Mgr. Ph.D.
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Course content
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1. 2D Fourier analysis , linear systems, properties of Fourier transform. 2. Scalar diffraction theory. 3. Free space propagation: response and transfer functions. 4. Wave-optics analysis of coherent optical systems. 5. Frequency analysis of optical imaging systems. 6. Light modulation: silver gelatin emulsion, SLM, nematic crystals, magnetooptics, deformable optical elements, diffractive optics, binary optics. 7. Optical signal processors: phase contrast, coherent and incoherent processors, holographic filters. 8. Applications I: pattern recognition, neural networks, image reconstruction, Wiener filter. 9. Applications II: synthetic aperture radar, fast spectral analyzer. 10. Applications III: discrete processors, matrix-vector and matrix-matrix multiplication, coding of nonpositive/complex data. 11. Advanced techniques: super-resolution, speckle interferometry, tomography, multiple-conjugated adaptive systems (MCAO). 12. The correspondence between classical optics and quantum mechanics, introduction to quantum information processing.
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Learning activities and teaching methods
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Lecture, Demonstration
- Preparation for the Course Credit
- 20 hours per semester
- Preparation for the Exam
- 35 hours per semester
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Learning outcomes
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Principles of Fourier optics and optical information processing.
On successful completion of this module, students should be able to know and understand the syllabus topics and be able to use the acquired knowledge in solving problems.
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Prerequisites
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No prior requirements.
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Assessment methods and criteria
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Oral exam, Student performance
Sufficient knowledge of the syllabus topics.
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Recommended literature
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Goodman, J. W. (1968). Introduction to Fourier Optics. Singapur, McGraw-Hill Book Co.
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Yu, F.T.S. (1983). Optical Information Processing: Optical Signal Processing Fourier Optics. John Wiley & Sons, New York.
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