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    DISTRIBUTED TWO-DIMENSIONAL FOURIER TRANSFORMS ON DSPs: WITH AN APPLICATIONS FOR PHASE RETRIEVAL

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    Date
    2006-12-08
    Author
    Smith, Jeffrey Scott
    Advisor
    Jacob, Bruce L
    Yeung, Donald
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    Abstract
    Many applications of two-dimensional Fourier Transforms require fixed timing as defined by system specifications. One example is image-based wavefront sensing. The image-based approach has many benefits, yet it is a computational intensive solution for adaptive optic correction, where optical adjustments are made in real-time to correct for external (atmospheric turbulence) and internal (stability) aberrations, which cause image degradation. For phase retrieval, a type of image-based wavefront sensing, numerous two-dimensional Fast Fourier Transforms (FFTs) are used. To meet the required real time specifications, a distributed system is needed, and thus, the 2-D FFT necessitates an all-to-all communication among the computational nodes. The 1-D floating point FFT is very efficient on a digital signal processor (DSP). For this study, several architectures and analysis of such are presented which address the all-to-all communication with DSPs. Emphasis of this research is on a 64-node cluster of Analog Devices TigerSharc TS-101 DSPs.
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    http://hdl.handle.net/1903/4206
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    • Electrical & Computer Engineering Theses and Dissertations
    • UMD Theses and Dissertations

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    DRUM is brought to you by the University of Maryland Libraries
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