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2010•2010 3rd International Congress on Image and Signal ProcessingRequires access

Anti-leakage NDFT and its application in data reconstruction

Baotong Liu

Open publisher page 1 citations

Abstract

Spectra estimation of irregularly sampled signals is an important issue in data reconstruction with Fourier transform. To improve spectral resolution of irregular sampling signals, this paper presents an anti-leakage non-uniform discrete Fourier transform (NDFT). The computation of DFT is performed via iterative non-linear estimation. Successful applications in harmonic retrieval and data reconstruction of real field VSP are demonstrated.

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What this paper is about

Spectra estimation of irregularly sampled signals is an important issue in data reconstruction with Fourier transform. To improve spectral resolution of irregular sampling signals, this paper presents an anti-leakage non-uniform discrete Fourier transform (NDFT). The computation of DFT is performed via iterative non-linear estimation. Successful applications in harmonic retrieval and data reconstruction of real field VSP are demonstrated.

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Available abstract

Spectra estimation of irregularly sampled signals is an important issue in data reconstruction with Fourier transform. To improve spectral resolution of irregular sampling signals, this paper presents an anti-leakage non-uniform discrete Fourier transform (NDFT). The computation of DFT is performed via iterative non-linear estimation. Successful applications in harmonic retrieval and data reconstruction of real field VSP are demonstrated.

Key concepts: Spectral leakage, Leakage (economics), Fourier transform, Computation, Spectral density estimation, Computer science, Algorithm, Discrete Fourier transform (general)

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