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spelling ndltd-OhioLink-oai-etd.ohiolink.edu-case13100653942021-08-03T05:34:10Z PSG Data Compression And Decompression Based On Compressed Sensing ChangHyun, Lee Electrical Engineering Health Care PSG Sparse Representation Compressed Sensing Data Compression Convex Optimization In the thesis, the compression and decompression scheme based on Compressive Sensing (CS) is developed for multichannel polysomnography(PSG) data. This thesis is composed of three main parts: (i) The signals in all channels are first classified according to their possible sparse representations. (ii) The two different compression and decompression methods applicable to batch and sequential measurements are implemented for each kind of signals, respectively. (iii) We present the optimal compression and decompression scheme based on batch and sequential measurements, and the results which is included compression ratio, accuracy, compression and decompression time are showed and compared to save much more storage space in the database. 2011-09-19 English text Case Western Reserve University School of Graduate Studies / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=case1310065394 http://rave.ohiolink.edu/etdc/view?acc_num=case1310065394 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection NDLTD
language English
sources NDLTD
topic Electrical Engineering
Health Care
PSG
Sparse Representation
Compressed Sensing
Data Compression
Convex Optimization
spellingShingle Electrical Engineering
Health Care
PSG
Sparse Representation
Compressed Sensing
Data Compression
Convex Optimization
ChangHyun, Lee
PSG Data Compression And Decompression Based On Compressed Sensing
author ChangHyun, Lee
author_facet ChangHyun, Lee
author_sort ChangHyun, Lee
title PSG Data Compression And Decompression Based On Compressed Sensing
title_short PSG Data Compression And Decompression Based On Compressed Sensing
title_full PSG Data Compression And Decompression Based On Compressed Sensing
title_fullStr PSG Data Compression And Decompression Based On Compressed Sensing
title_full_unstemmed PSG Data Compression And Decompression Based On Compressed Sensing
title_sort psg data compression and decompression based on compressed sensing
publisher Case Western Reserve University School of Graduate Studies / OhioLINK
publishDate 2011
url http://rave.ohiolink.edu/etdc/view?acc_num=case1310065394
work_keys_str_mv AT changhyunlee psgdatacompressionanddecompressionbasedoncompressedsensing
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