title: [Blind deconvolution algorithm for spectrogram super-resolution restoration].
abstract: Deconvolution is an important way to realize spectrogram super-resolution restoration. Blind deconvolution is superior to the traditional one in that it does not need a well prepared convolution core. Taking advantages of the features of spectrogram and the existing achievements of spectrogram deconvolution, the authors bring forward a scheme to adapt the space domain iterative blind deconvolution method to spectroscopy application. Moreover, after probing into the spectrogram degradation described by convolution, computational models for spectrum convolution and Gauss fitting are worked out to meet the requirements of blind deconvolution algorithm. Accompanying results are simulations with MATLAB7.0. They shows that for the given spectrum and point spread function of Gauss type the blind deconvolution algorithm works well and a resolution enhancement of 30% can be achieved under a signal-to-noise ratio of 50 dB.
authors.affiliation: State Key Laboratory of Precision Measurement Technology and Instruments, Tsinghua University, Beijing 100084, China. yanghd@tsinghua.edu.cn
authors.forename: Huai-Dong
authors.initials: HD
authors.lastname: Yang
authors.forename: Li
authors.initials: L
authors.lastname: Xu
authors.forename: Ke-Xin
authors.initials: KX
authors.lastname: Chen
authors.forename: Xing-Yue
authors.initials: XY
authors.lastname: Huang
authors.forename: Qing-Sheng
authors.initials: QS
authors.lastname: He
authors.forename: Qiao-Feng
authors.initials: QF
authors.lastname: Tan
authors.forename: Guo-Fan
authors.initials: GF
authors.lastname: Jin