Learn Fourier and diffractive optics through examples and computer simulation
This book presents current theories of diffraction, imaging, and related topics based on Fourier analysis and synthesis techniques, which are essential for understanding, analyzing, and synthesizing modern imaging, optical communications and networking, and micro/nano systems. The author demonstrates how these theories become the foundation for a number of practical applications, including:
- Tomography
- Magnetic resonance imaging
- Synthetic aperture radar (SAR) and interferometric SAR
- Optical communications and networking devices, such as directional couplers in fiber and integrated optics, dense wavelength division multiplexing and demimultiplexing systems
- Computer-generated holograms and analog holograms
- Wireless systems using EM waves
- Micro/nano systems requiring rigorous diffraction analysis
Diffraction, Fourier Optics and Imaging takes an innovative approach that focuses on the use of examples and computer simulations. This approach emerged from the author's course notes and has been refined during his many years of classroom experience. Readers are given clear and concise explanations of theory, and examples that demonstrate the practical applications of theory are provided. Finally, readers are given exercises, ranging from simple to complex, to apply their knowledge to solving real-world problems. Many of the exercises and examples are solved using MATLAB®, enabling readers to perform highly complex computational tasks through software simulation.
This book is ideal for upper-level undergraduate and graduate courses in electrical engineering and physics. Its many examples and topics with computer simulation show students how an understanding of Fourier analysis can be applied in a broad range of fields in science and technology. Engineers and scientists particularly related to optical engineering, micro/nano systems and fiber optic communications/networking will find this an excellent resource that sheds new light on how to resolve key problems in imaging.
