2010
DOI: 10.1088/2040-8978/12/11/115401
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Suppressing carrier removal error in the Fourier transform method for interferogram analysis

Abstract: A new carrier removal method for interferogram analysis using the Fourier transform is presented. The proposed method can be used to suppress the carrier removal error as well as the spectral leakage error. First, the carrier frequencies are estimated with the spectral centroid of the up sidelobe of the apodized interferogram, and then the up sidelobe can be shifted to the origin in the frequency domain by multiplying the original interferogram by a constructed plane reference wave. The influence of the carrie… Show more

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Cited by 19 publications
(5 citation statements)
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“…There are different tools available to transform the time series into these components including the Fourier and Wavelet transformations. The Fourier transformation requires the stationarity of the data [ 47 ] whereas the macroeconomic variables are less likely to be integrated of order zero (i.e., stationary). To explore the scale-dependent causal linkages between inflation and policy rate, we employ Wavelet transformation to decompose the series into various frequency scales.…”
Section: Methodsmentioning
confidence: 99%
“…There are different tools available to transform the time series into these components including the Fourier and Wavelet transformations. The Fourier transformation requires the stationarity of the data [ 47 ] whereas the macroeconomic variables are less likely to be integrated of order zero (i.e., stationary). To explore the scale-dependent causal linkages between inflation and policy rate, we employ Wavelet transformation to decompose the series into various frequency scales.…”
Section: Methodsmentioning
confidence: 99%
“…To eliminate the carrier and background phase quickly and accurately, the algorithms with aid of the utilization of specimen-free holograms have been presented [14,19]. In contrast to fitting techniques or special compensation methods [22][23][24][25][26], the algorithms can remove the background phase without complex processes and high computation cost. Assuming specimen-free holograms with intensity distributions H 1 ʹ and H 2 ʹ are captured with the same phase shift Δθ, their retrieved complex result can be obtained as:…”
Section: Phase Retrievalmentioning
confidence: 99%
“…In order to obtain the correct spectrum centering, some scholars have developed the research on the carrier frequency elimination methods. In 2010, Fan et al [61] analyzed that if the carrier frequencies were not an integer multiple of the frequency interval, the peak coordinates of C and C* in Equation 13would not be equal to the carrier frequencies. Aimed at the problem, a carrier frequency judgment method by means of a spectral centroid was presented to suppress the carrier removal error.…”
Section: Tilt Phase Error Compensationmentioning
confidence: 99%