DocumentCode
1562102
Title
A novel nonuniform sampling method and processing system to overcome the Nyquist limit and suppress the noise
Author
Wang, Anmin ; Wang, Shu ; Chen, Mingxin
Author_Institution
Dept. of Electron. & Inf., Huazhong Univ. of Sci. & Technol., Hubei, China
Volume
5
fYear
2004
Firstpage
3842
Abstract
A method for nonuniform sampling based on amplitude of signals is proposed. It combines sampling rate with amplitude of signals. It make the most of some special samples that it helps to process signal so it is very effective to suppress noise. A sampled threshold should be computed and selected automatically in this algorithm. The mean and maximum amplitudes of signal decide the sampled threshold. It can estimate exactly the frequency of signal hidden beneath the noise when signal-to-noise ratio (SNR) is below -15 dB. The system can detect the signal above 18 MHz at the maximal sampling of 1.5 MHz, achieving 24 times the bandwidth of a classic uniformly digital signal processing (DSP) system that only can detect the signal above 0.75 MHz at the sampling of 1.5 MHz.
Keywords
frequency estimation; interference suppression; signal detection; signal sampling; thermal noise; 0 to 15 dB; 1.5 MHz; DSP; Nyquist limit; SNR; digital signal processing; frequency estimation; noise suppression; nonuniform sampling method; process signal; processing system; sampled threshold; signal detection; signal sampling rate; signal to noise ratio; signals amplitude; Background noise; Digital signal processing; Frequency estimation; Nonuniform sampling; Sampling methods; Signal analysis; Signal detection; Signal processing; Signal sampling; Signal to noise ratio;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN
0-7803-8273-0
Type
conf
DOI
10.1109/WCICA.2004.1342209
Filename
1342209
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