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Pre-processing and Feature Extraction Methods for Smart Biomedical Signal Monitoring : Algorithms and Applications

Abderrazak Chahid
2020

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https://web.archive.org/web/20201208064824/https://repository.kaust.edu.sa/bitstream/handle/10754/666137/PhD_Thesis_2020_Abderrazak_Chahid.pdf;jsessionid=477C7915B7FFF36E8E408E3FEDED0B1C?sequence=1

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It develops novel signal/image pre-processing algorithms, based on the Semi-Classical Signal Analysis method (SCSA), to enhance the quality of biomedical signals and images.  ...  The SCSA method is based on the decomposition of the input signal or image, using the squared eigenfunctions of a Semi-Classical Schrodinger operator.  ...  Part I Pre-processing Algorithms based on Semi-Classical Signal Analysis (SCSA) Semi-Classical Signal Analysis (SCSA) The Semi-Classical Signal Analysis method has been introduced as a new tool for signal  ... 
doi:10.25781/kaust-d0mgs fatcat:lk46mrddk5aippmd5gyvhpb55u
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Abderrazak Chahid. "Pre-processing and Feature Extraction Methods for Smart Biomedical Signal Monitoring : Algorithms and Applications." (2020)