Abstract
Abstract : The problem of recovering information from single component linear translation invariant systems is inherently ill-posed. However, this situation may be circumvented in a system if the components of the system satisfy the strongly coprime condition. The signal may be completely recovered from a strongly coprime system by filtering the output of each channel with a deconvolver, and adding. This approach has been labeled multichannel deconvolution. The author explores the state of the art for theory, and then uses sampling theory to develop an alternative method for creating these systems. Modulation techniques are then used to create a strongly coprime system, for which the corresponding deconvolvers are developed. The report concludes with discussions of several applications of the theory.
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