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(R), 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 withcomputer 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.
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