title: Eigenvalue decomposition and least squares algorithm for depth resolution of wavenumber-scanning interferometry.
abstract: Depth resolution of depth-resolved interferometry evaluated by Fourier transform is limited by the range of phase shifting. A novel algorithm, the eigenvalue decomposition and least squares algorithm (EDLSA), is proposed. Experimental results obtained using depth-resolved wavenumber-scanning interferometry demonstrate that the EDLSA performs better than the Fourier transform and complex number least squares algorithm. Not requiring any a priori information, the algorithm can replace the Fourier transform in depth-resolved interferometry with improved depth resolution.
authors.forename: Yulei
authors.initials: Y
authors.lastname: Bai
authors.forename: Yanmin
authors.initials: Y
authors.lastname: He
authors.forename: Hong
authors.initials: H
authors.lastname: Bao
authors.forename: Yun
authors.initials: Y
authors.lastname: Zhang
authors.forename: Shuangli
authors.initials: S
authors.lastname: Ye
authors.forename: Yanzhou
authors.initials: Y
authors.lastname: Zhou