Error-rate dependence of non-bandlimited signals with finite rate of innovation - Information Theory, 2004. ISIT 2004. Proceedings. International Symposium on
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چکیده
Recent results in sampling theory [1] showed that perfect reconstruction of non-bandlimited signals with finite rate of innovation can be achieved performing uniform sampling at or above the rate of innovation. We study analog-to-digital (A/D) conversion of these signals, introducing two types of ovrsampling and consistent
منابع مشابه
Sampling signals with finite rate of innovation
Consider classes of signals which have a ̄nite number of degrees of freedom per unit of time, and call this number the rate of innovation of a signal. Examples of signals with ̄nite rate of innovation include stream of Diracs (e.g. the Poisson process), non-uniform splines and piecewise polynomials. Eventhough these signals are not bandlimited, we show that they can be sampled uniformly at (or ab...
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Recently, it was shown that a large class of non-bandlimited signals that have a finite rate of innovation, such as streams of Diracs, non-uniform splines and piecewise polynomials, can be perfectly reconstructed from a uniform set of samples taken at the rate of innovation [1]. While this is true in the noiseless case, in the presence of noise the finite rate of innovation property is lost and...
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تاریخ انتشار 2009