Results 171 to 180 of about 6,973,682 (218)
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Phase unwrapping with a regularized phase-tracking system
Applied Optics, 1998We develop a regularized phase-tracking (RPT) technique tounwrap phase maps. The phase maps that can be unwrapped with thisnew method may be bounded by arbitrarily shaped boundaries. Moreover, the RPT unwrapper has a higher noise robustness than previously reported phase-unwrapping schemes.
M, Servin +3 more
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Morphological phase unwrapping
Optics and Lasers in Engineering, 1999Abstract Phase unwrapping is the process of determining the absolute phase given its principal value. In this paper, we show that morphological image processing techniques can be helpful for solving this problem. The proposed procedure consists of three independent modules.
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Phase unwrapping by factorization
IEEE Transactions on Acoustics, Speech, and Signal Processing, 1982An algorithm for the numerical factorization of very high degree but well-conditioned polynomials is developed. This is used to factor the z- transform of finite-length signals, and the zeros are used to calculate the unwrapped phase. The method has been tested on signals up to 512 points in length.
Steiglitz, Kenneth, Dickinson, Bradley
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Measurement, 1999
Abstract A method of 2-dimensional phase-unwrapping by blocks is presented in this paper. This method combines the advantages of both conventional phase-unwrapping algorithm and cellular-automata unwrapping algorithm. With this concept, a fast, robust and stable phase unwrapping for phase maps of different sizes can be achieved by utilising different
Boxiong Wang +3 more
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Abstract A method of 2-dimensional phase-unwrapping by blocks is presented in this paper. This method combines the advantages of both conventional phase-unwrapping algorithm and cellular-automata unwrapping algorithm. With this concept, a fast, robust and stable phase unwrapping for phase maps of different sizes can be achieved by utilising different
Boxiong Wang +3 more
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Phase difference-based multichannel phase unwrapping
IEEE Transactions on Image Processing, 2005This work addresses the derivation of the phase difference-based maximum likelihood (ML) phase unwrapping algorithm. To this end, we derive the joint statistics of the phase differences on a two-dimensional grid for the multichannel case, where several scaled wrapped phase values are available.
Fornaro G, Pauciullo A, Sansosti E
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Interface propagation method in phase unwrapping
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016Path following algorithms employ information from phase residues or data quality, typically in a independent mode for the difference between the distribution discreteness of residues and the distribution continuity of data quality values. Residues are taken as sources for interface propagation, and the quality of phase data weigh against the ...
Jian Gao 0019, Jun Li, Lei Shi
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An Improved Phase-Unwrapping Method for Unwrapped Phase based RFID Localization
2023 IEEE 13th International Conference on RFID Technology and Applications (RFID-TA), 2023Wenhe Wang +4 more
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Swarm-based algorithm for phase unwrapping
Applied Optics, 2014A novel algorithm for phase unwrapping based on swarm intelligence is proposed. The algorithm was designed based on three main goals: maximum coverage of reliable information, focused effort for better efficiency, and reliable unwrapping. Experiments were performed, and a new agent was designed to follow a simple set of five rules in order to ...
Lucas, da Silva Maciel +1 more
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Polynomial Phase Estimation by Least Squares Phase Unwrapping
IEEE Transactions on Signal Processing, 2014Estimating the coefficients of a noisy polynomial phase signal is important in fields including radar, biology and radio communications. One approach attempts to perform polynomial regression on the phase of the signal. This is complicated by the fact that the phase is wrapped modulo 2π and must be unwrapped before regression can be performed.
Robby G. McKilliam +4 more
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Phase difference based multiple acquisition phase unwrapping
IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2004This work addresses the derivation of a phase-difference (gradient) based maximum likelihood (ML) phase unwrapping algorithm. In particular, we determine and study the structure of the ML phase unwrapping on a 2D grid in the multi-channel case and compare it with existing phase unwrapping algorithms.
Fornaro G, Pauciullo A, Sansosti E
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