作者: VAJIHE MESRI , MAHIN BAYAT , ZAREH MOHSEN KOMPANY , HOSSEIN TAVALLALI
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摘要: NOWADAYS, ACCORDING TO THE INCREASING AMOUNT OF DATA PRODUCED BY ANALYTICAL INSTRUMENTS, PROPER COMPRESSION IN SHORTEST POSSIBLE CALCULATION TIME, IN MAXIMUM POSSIBLE COMPRESSION LEVEL, AND WITHOUT LOSS OF INFORMATION IS DESIRED. LARGE VOLUME OF DATA APPLIES CONSIDERABLE PRESSURE ON THE SUPPORTING SYSTEMS FOR DATA STORAGE. ALSO THE HIGH VOLUME OF DATA RESULTS IN LOW PROCESSING EFFICIENCY AND LONG TIME OF DATA ANALYSIS AND PROCESSING. ACCORDING TO THE ABOVE DESCRIPTIONS, THE IMPORTANCE OF AN EFFICIENT, RAPID DATA COMPRESSION TECHNIQUE IS OBVIOUS [1, 2]. IN THE PREVIOUS WORKS, DATA COMPRESSION WAS OFTEN BASED ON DISCRETE WAVELET TRANSFORM (DWT) TO COMPRESS LARGE DATA SETS [1-3]. THE MAIN LIMITATION OF THE METHOD IS ITS COMPLEXITY TO USE AND THE OTHER IS THIS METHOD CANNOT COMPRESS HIGHER ORDER DATA AND IT IS LIMITED TO VECTORS (1ST ORDER DATA), WHEREAS, IN THIS REPORT A MATRIX (2ND ORDER DATA) WAS CONSIDERED TO BE COMPRESSED. ALSO THE SIMPLICITY OF THE PROPOSED COMPRESSION PROCEDURE, USING THE EASILY AVAILABLE MS OFFICE PICTURE MANAGER IS AN ADVANTAGE. TO SHOW THE PERFORMANCE OF DATA, WE USED SOME TWO-WAY SIMULATED AND EXPERIMENTAL DATA. TWO DIMENSIONAL DATA SETS (EG HPLC-DAD, OR EXCITATION EMISSION FLUORESCENCE) WERE SIMULATED IN MATLAB WORKSPACE AND …