DocumentCode :
919093
Title :
Sampling and exact reconstruction of bandlimited signals with additive shot noise
Author :
Marziliano, Pina ; Vetterli, Martin ; Blu, Thierry
Author_Institution :
Lab. for Audio Visual Commun., Swiss Fed. Inst. of Technol., Lausanne, Switzerland
Volume :
52
Issue :
5
fYear :
2006
fDate :
5/1/2006 12:00:00 AM
Firstpage :
2230
Lastpage :
2233
Abstract :
In this correspondence, we consider sampling continuous-time periodic bandlimited signals which contain additive shot noise. The classical sampling scheme does not perfectly recover these particular nonbandlimited signals but only reconstructs a lowpass filtered approximation. By modeling the shot noise as a stream of Dirac pulses, we first show that the sum of a bandlimited signal with a stream of Dirac pulses falls into the class of signals that contain a finite rate of innovation, that is, a finite number of degrees of freedom. Second, by taking into account the degrees of freedom of the bandlimited signal in the sampling and reconstruction scheme developed previously for streams of Dirac pulses, we derive a sampling and perfect reconstruction scheme for the bandlimited signal with additive shot noise.
Keywords :
approximation theory; bandlimited signals; filtering theory; low-pass filters; shot noise; signal reconstruction; signal sampling; Dirac pulse; additive shot noise; bandlimited signal reconstruction; continuous-time periodic signal sampling; lowpass filtered approximation; Additive noise; Channel capacity; Convolution; Convolutional codes; Error correction codes; Feedback; Jacobian matrices; Maximum likelihood decoding; Sampling methods; Viterbi algorithm; Annihilating filters; Dirac pulses; degrees of freedom; nonbandlimited; rate of innovation; sampling; shot noise;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.2006.872844
Filename :
1624657
Link To Document :
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