A Novel Periodically Nonuniform Sampling Method and System to Suppress the Spectrum Noise

The theory of nonuniformly sampling can process signals with components whose frequencies exceed the Nyquist limit. The disadvantage of nonuniformly sampling exist the noise in spectrum analysis. A novel periodically nonuniform sampling method is proposed in this paper. This method is very effective...

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Hauptverfasser: Anmin Wang, Liangfu Chen, Xiangping Cai
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Liangfu Chen
Xiangping Cai
description The theory of nonuniformly sampling can process signals with components whose frequencies exceed the Nyquist limit. The disadvantage of nonuniformly sampling exist the noise in spectrum analysis. A novel periodically nonuniform sampling method is proposed in this paper. This method is very effective to suppress noise of spectrum by adopting the periodically nonuniform sampling so that it can detect the low amplitude signal. The real-time hardware processing system is development. The results of the experiments show that it is an effective method for signal detection and it can estimate exactly the frequencies of signals when the ratio of amplitude of signal exceeds 10
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subjects Background noise
Frequency estimation
Noise level
Noise reduction
Nonuniform sampling
Real time systems
Sampling methods
Signal detection
Signal processing
Signal sampling
title A Novel Periodically Nonuniform Sampling Method and System to Suppress the Spectrum Noise
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