Goodman J Simulating Fourier Optics Using Mathematica 2024

Goodman J Simulating Fourier Optics Using Mathematica 2024 | 27.3 MB

Title: Simulating Fourier Optics Using Mathematica®
Author: Goodman, Joseph W.;

Description:
This much-needed text brings the treatment of optical pattern recognition up-to-date in one comprehensive resource. Optical pattern recognition, one of the first implementations of Fourier Optics, is now widely used, and this text provides an accessible introduction for readers who wish to get to grips with how holography is applied in a practical context. A wide range of devices are addressed from a user perspective and are accompanied with detailed tables enabling performance comparison, in addition to chapters exploring computer-generated holograms, optical correlator systems, and pattern matching algorithms. This book will appeal to both lecturers and research scientists in the field of electro-optic devices and systems.
Features:

• Covers a range of new developments, including computer-generated holography and 3D image recognition
  
• Accessible without a range of prior knowledge, providing a clear exposition of technically difficult concepts
  
• Contains extensive examples throughout to reinforce learning
  

DOWNLOAD:

https://rapidgator.net/file/5ed40c6187c2932a972f0563171db2d0/Goodman_J._Simulating_Fourier_Optics_Using_Mathematica_2024.rar

https://nitroflare.com/view/EB87F96EC8161EE/Goodman_J._Simulating_Fourier_Optics_Using_Mathematica_2024.rar

We need your support!
Make a donation to help us stay online
        
Bitcoin (BTC)
bc1q08g9d22cxkawsjlf8etuek2pc9n2a3hs4cdrld
	
Bitcoin Cash (BCH)
qqvwexzhvgauxq2apgc4j0ewvcak6hh6lsnzmvtkem

Ethereum (ETH)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

Litecoin (LTC)
ltc1qt6g2trfv9tjs4qj68sqc4uf0ukvc9jpnsyt59u

USDT (ERC20)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

USDT (TRC20)
TYdPNrz7v1P9riWBWZ317oBgJueheGjATm