Adaptive linear-phase complex filtering algorithms

1988 ◽  
Vol 135 (5) ◽  
pp. 481
Author(s):  
Xian Chen
2011 ◽  
Vol 48-49 ◽  
pp. 1231-1234
Author(s):  
Rui Zhang ◽  
Gu Quan Liu ◽  
Li Yong Zhang ◽  
Xu Hui Zhang

The discrete wavelet transform based on the orthogonal wavelet bases has the disadvantage of shift-variant. In this paper, using the compactly supported dyadic orthogonal real-valued wavelet bases to construct the compactly supported dyadic orthogonal linear phase complex wavelet (LCW) bases in terms of alternately lifting scheme. Linear phase complex wavelet can separate the envelope of the flicker signal. The core of the method is a pair of Hilbert transform including the flicker signal in wavelet field is come into being, i.e. a pair of quadrature components with the same amplitude and the same frequency can be used to realize the demodulation of an amplitude modulated voltage flicker signal. Simulation experiments show the method proposed has the characteristic of shift-invariant comparing with the traditional discrete wavelet transform, result of separating envelope of the flicker signal is independent of initial time recording signal.


2015 ◽  
Vol 3 (3) ◽  
pp. 30-34 ◽  
Author(s):  
B. Anitha ◽  
◽  
Srinivas Bachu ◽  
C. Sailaja ◽  
◽  
...  

2020 ◽  
Author(s):  
Junaid Khan

While self mixing interferometry(SMI) has proven to be suitable for displacement measurement and other sensing applications,its characteristic self mixing signal shape is strongly governed by the non-linear phase equation which forms relation between perturbed and unperturbed phase of self mixing laser.Therefore, while it is desirable for robust estimation of displacement of moving target, the algorithms to achieve this must have an objective strategy which can be achieved by understanding the characteristic of extracting knowledge of perturbed phase from unperturbed phase. Therefore, it has been proved and shown that such strategy must not involve sole methods where perturbed phase is continuous function of unperturbed phase (e.g:Taylor series or fixed point methods) or through successive displacements (e.g: variations of Gauss Seidal method). Subset of this strategy is to perform spectral filtering of perturbed phase followed by perturbative or homotopic deformation. A less computationally expensive approach of this strategy is adopted to achieve displacement with mean error of 62.2nm covering all feedback regimes, when coupling factor 'C' is unknown.<br>


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