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Document Type : Latin Dissertation
Language of Document : English
Record Number : 148934
Doc. No : ET20726
Main Entry : Michael D. Larsen
Title Proper : MULTIPLIERLESS ALGORITHMS FOR HYPERSPECTRAL IMAGE PROCESSING
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : Multiplierless algorithms are capable of improving the efficiency of a system in termsof speed, power consumption, and chip area. Such gains can be especially significantin remote sensing systems, where size and power constraints are critical. This thesisinvestigates two different types of 3-dimensional data compression algorithms intended foruse with hyperspectral images. The first, a computationally simple adaptive differentialpulse code modulation (ADPCM) system, uses 3-dimensional power-of-2 adaptive filterst o perform the signal prediction. The second, a 3-dimensional transform system, uses.
Subject : Electericl tess
: برق
electronic file name : TL43867.pdf
Title and statement of responsibility and : MULTIPLIERLESS ALGORITHMS FOR HYPERSPECTRAL IMAGE PROCESSING [Thesis]
 
 
 
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