On the Compressed Measurements over Finite Fields: Sparse or Dense Sampling
نویسندگان
چکیده
We consider compressed sampling over finite fields and investigate the number of compressed measurements needed for successful L0 recovery. Our results are obtained while the sparseness of the sensing matrices as well as the size of the finite fields are varied. One of interesting conclusions includes that unless the signal is “ultra” sparse, the sensing matrices do not have to be dense. Keywords—compressed sampling, discrete signals, finite fields, sparse sensing matrices
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ورودعنوان ژورنال:
- CoRR
دوره abs/1211.5207 شماره
صفحات -
تاریخ انتشار 2012