Difference between revisions of "Numerical Analysis of Interference Patterns"

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<math>T=\bar{\Delta C^{(|)}}\left(ln{\frac{m_2}{m_2\chi_0-(1-\chi_0)m_1}\right)^{-1}</math>
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<math>T=\bar{\Delta C^{(|)}}\left(ln \frac{m_2}{m_2\chi_0-(1-\chi_0)m_1}\right)^{-1}</math>
 
|align="center" width="80"|(2)
 
|align="center" width="80"|(2)
 
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Revision as of 17:57, 19 September 2007

This page is currently a work in progress.

Phase Shifting Technique

  • requires three phase shifted fringe patterns
  • the phase shift must be known
  • carefully controlled conditions must be maintained

Fourier Analysis Method

  • requires carrier frequency, narrow frequency, low noise and open fringes
  • estimates the phase wrapped (via arctan)

Phase-Locked Loop Algorithm

  • computer simulated oscillator (VCO) needed
  • phase error b/w the fringe pattern and the VCO vanishes

Artificial Neural Network Method

  • requires carrier phase
  • non-algorithmic (i.e. must have learning phase)
  • types of learning include: supervised, unsupervised and reinforcement
  • multi-layer: input, output, hidden neurons present

Genetic Algorithm

Simulated Annealing

ParSA

Here [1] is the link the the ParSA documentation.

The ParSA (Parallel Simulated Annealing) library is a set of classes written in C++ that can be used to solve optimization problems via a process know as simulated annealing.

The ParSA library contains many different types of The Equation for convergence speed is:

(1)

(2)