Fast fringe pattern phase demodulation using FIR Hilbert transformers

Fringe Pattern Demodulation Using Evolutionary Algorithms

Adaptive asynchronous algorithm for fringe pattern demodulation.

We present a spatial adaptive asynchronous algorithm for fringe pattern demodulation. The proposed algorithm is based on the standard five-step asynchronous method with the one modification that we select the best sample spacing for each point of the fringe pattern. As we show, the frequency response of any asynchronous method depends on the sample spacing. This interesting behavior is used to ...

Analytical design of maximally flat FIR fractional Hilbert transformers

Recently, the classical Hilbert transformer is generalized into the fractional Hilbert transformer which could be implemented optically. This modi"cation of the Hilbert transform adds an additional degree of freedom on the Hilbert transformer and improves the performance of the transform. In this paper, the design of FIR "lters fractional Hilbert transformer is proposed. The FIR "lters are desi...

Digital FIR Hilbert Transformers: Fundamentals and Efficient Design Methods

© 2012 Troncoso Romero and Jovanovic Dolecek, licensee InTech. This is an open access chapter distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Digital FIR Hilbert Transformers: Fundamentals and Efficient ...

Fast phase recovery from a single closed-fringe pattern.

A new framework for phase recovery from a single fringe pattern with closed fringes is proposed. Our algorithm constructs an unwrapped phase from previously computed phases with a simple open-fringe-analysis algorithm, twice applied for analyzing horizontal and vertical oriented fringes, respectively. That reduces the closed-fringe-analysis problem to that of choosing the better phase between t...