%0 Journal Article %A Arthur David Snider and Laiq Azam %D 2007 %J International Journal of Electrical and Computer Engineering %B World Academy of Science, Engineering and Technology %I Open Science Index 6, 2007 %T High Dynamic Range Resampling for Software Radio %U https://publications.waset.org/pdf/4518 %V 6 %X The classic problem of recovering arbitrary values of a band-limited signal from its samples has an added complication in software radio applications; namely, the resampling calculations inevitably fold aliases of the analog signal back into the original bandwidth. The phenomenon is quantified by the spur-free dynamic range. We demonstrate how a novel application of the Remez (Parks- McClellan) algorithm permits optimal signal recovery and SFDR, far surpassing state-of-the-art resamplers. %P 880 - 885