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Compressive Sensing: From Theory to Applications, a Survey
Qaisar, Saad,Bilal, Rana Muhammad,Iqbal, Wafa,Naureen, Muqaddas,Lee, Sungyoung The Korea Institute of Information and Commucation 2013 Journal of communications and networks Vol.15 No.5
Compressive sensing (CS) is a novel sampling paradigm that samples signals in a much more efficient way than the established Nyquist sampling theorem. CS has recently gained a lot of attention due to its exploitation of signal sparsity. Sparsity, an inherent characteristic of many natural signals, enables the signal to be stored in few samples and subsequently be recovered accurately, courtesy of CS. This article gives a brief background on the origins of this idea, reviews the basic mathematical foundation of the theory and then goes on to highlight different areas of its application with a major emphasis on communications and network domain. Finally, the survey concludes by identifying new areas of research where CS could be beneficial.
Compressive Sensing: From Theory to Applications, a Survey
Saad Qaisar,Rana Muhammad Bilal,Wafa Iqbal,Muqaddas Naureen,이승룡 한국통신학회 2013 Journal of communications and networks Vol.15 No.5
Compressive sensing (CS) is a novel sampling paradigmthat samples signals in a much more efficient way than the establishedNyquist sampling theorem. CS has recently gained a lot ofattention due to its exploitation of signal sparsity. Sparsity, an inherentcharacteristic of many natural signals, enables the signalto be stored in few samples and subsequently be recovered accurately,courtesy of CS. This article gives a brief background on theorigins of this idea, reviews the basic mathematical foundation ofthe theory and then goes on to highlight different areas of its applicationwith a major emphasis on communications and networkdomain. Finally, the survey concludes by identifying new areas ofresearch where CS could be beneficial.
Determination of Bergenin in Different Parts of Bergenia ciliata using a Validated RP-HPLC Method
Ejaz Ali,Khalid Hussain,Nadeem Irfan Bukhari,Najma Arshad,Amjad Hussain,Nasir Abbas,Sohail Arshad,Sajida Parveen,Naureen Shehzadi,Shaista Qamar,Abida Qamar 한국생약학회 2021 Natural Product Sciences Vol.27 No.1
Bergenia ciliata (Family: Saxifragaceae) is a folklore remedy for the treatment of various ailments in Asian countries. Bergenin (1) has been isolated as an active constituent in many studies, however, the amount of bergenin has not been determined in all parts of the plant. A simple RP-HPLC method was developed to determine the amount of bergenin in methanol extracts of leaves, rhizomes and roots of the plant. Separation was achieved on an Agilent Eclipse XDB-C18 column maintained at 25 oC using isocratic solvent system (water: methanol: acetic acid; 62.5:37:0.5 v/v/v) adjusted at pH 2 0 at a flow rate of 1.0 mL/min. and detected at 275 nm. Correlation coefficient (0.9952) showed linearity of concentration (5-200 μg/mL) and response. The values of LOD (0.00947 μg/mL) and LOQ (0.02869 μg/mL) indicated that method was sensitive. The recovery of bergenin was 99.99-100% indicating accuracy of method. The methanol extract of rhizomes contained higher amount of bergenin (19.4%) than roots (9.2%) and leaves (6.9%). It is concluded that methanol extract of rhizomes is a better source of bergenin than other parts of the plant. The findings are useful for standardization of bergenin containing extracts and herbal preparations.