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1 Universidad Carlos III de Madrid
"... The hypothesis which this paper tries to validate is that text based image retrieval could be improved by the use of semantic information, by means of an expansion algorithm and a module specifically designed to exclude common words and negated words from queries. The expansion algorithm applies spe ..."
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The hypothesis which this paper tries to validate is that text based image retrieval could be improved by the use of semantic information, by means of an expansion algorithm and a module specifically designed to exclude common words and negated words from queries. The expansion algorithm applies
RICE UNIVERSITY Regime Change: Sampling Rate vs. Bit-Depth in Compressive Sensing
, 2011
"... The compressive sensing (CS) framework aims to ease the burden on analog-to-digital converters (ADCs) by exploiting inherent structure in natural and man-made signals. It has been demon-strated that structured signals can be acquired with just a small number of linear measurements, on the order of t ..."
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of the signal complexity. In practice, this enables lower sampling rates that can be more easily achieved by current hardware designs. The primary bottleneck that limits ADC sam-pling rates is quantization, i.e., higher bit-depths impose lower sampling rates. Thus, the decreased sampling rates of CS ADCs
