Learning of robust spectral graph dictionaries for distributed processing
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DOI: 10.1186/s13634-018-0584-2
Abstract: We consider the problem of distributed representation of signals in sensor networks, where sensors exchange quantized information with their neighbors. The signals of interest are assumed to have a sparse representation with spectral graph dictionaries.… read more here.
Keywords: quantization noise; spectral graph; graph dictionaries; graph ... See more keywords