GLOBAL METHODS IN THE INVERSION OF A SELF-CONVOLUTION

被引：26
|
作者：
MARTINEZ, V
机构：
[1] IBM Scientific Center, Universidad Autónoma de Madrid, Canto Blanco, Madrid
来源：
JOURNAL OF ELECTRON SPECTROSCOPY AND RELATED PHENOMENA | 1979年 / 17卷 / 01期
关键词：
D O I：
10.1016/0368-2048(79)85025-2
中图分类号：
O433 [光谱学];
学科分类号：
0703 ; 070302 ;
摘要：
New algorithms to self-deconvolve such experimental spectra as those obtained in AES and APS are devised. The approach used is global and based upon the fast Fourier transform (FFT) algorithm and digital signal processing concepts. A description of the algorithms is given and comparison of performance is made for Auger electron spectroscopy (AES) data for graphite. © 1979.
引用
收藏
页码：33 / 43
页数：11
相关论文
共 50 条
  • [1] ON THE SELF-CONVOLUTION OF GENERALIZED FIBONACCI NUMBERS
    Belbachir, Hacene
    Djellal, Toufik
    Luque, Jean-Gabriel
    QUAESTIONES MATHEMATICAE, 2023, 46 (05) : 841 - 854
  • [2] Is turbulent mixing a self-convolution process?
    Venaille, Antoine
    Sommeria, Joel
    PHYSICAL REVIEW LETTERS, 2008, 100 (23)
  • [3] Interception of the Triangular FM Waveform via Self-Convolution
    Qazi, Farhan A.
    Fam, Adly T.
    2015 IEEE MILITARY COMMUNICATIONS CONFERENCE (MILCOM 2015), 2015, : 1515 - 1518
  • [4] An inverse self-convolution algorithm for probabilistic distribution estimation
    Shigehiro, Yuji
    Yamamura, Mayuko
    IEEJ Transactions on Electronics, Information and Systems, 2021, 141 (07) : 802 - 811
  • [5] A tiling of phase-space through self-convolution
    Bharath, AA
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2000, 48 (12) : 3581 - 3585
  • [6] Half self-convolution of the k-Fibonacci sequence
    Falcon, Sergio
    NOTES ON NUMBER THEORY AND DISCRETE MATHEMATICS, 2020, 26 (03) : 96 - 106
  • [7] Underwater Target Classifier Capable of Reducing Self-convolution Distortion
    Binesh, T.
    Prasanth, P. P.
    Pai, Sujith Kumar S.
    Supriya, M. H.
    Pillai, P. R. Saseendran
    2014 OCEANS - ST. JOHN'S, 2014,
  • [8] Hanning self-convolution window and its application to harmonic analysis
    Wen He
    Teng ZhaoSheng
    Guo SiYu
    Wang JingXun
    Yang BuMing
    Wang Yi
    Chen Tao
    SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES, 2009, 52 (02): : 467 - 476
  • [9] Tandem mass spectrometry data quality assessment by self-convolution
    Keng Wah Choo
    Wai Mun Tham
    BMC Bioinformatics, 8
  • [10] Tandem mass spectrometry data quality assessment by self-convolution
    Choo, Keng Wah
    Tham, Wai Mun
    BMC BIOINFORMATICS, 2007, 8 (1)
12345