Title :
Multiple frequency detection in undersampled waveforms
Author :
Xia, Xiang-Gen ; Zhou, Guangcai
Author_Institution :
Dept. of Electr. & Comput. Eng., Delaware Univ., Newark, DE, USA
Abstract :
The determination of multiple frequencies in undersampled waveforms is studied using multiple smaller size discrete Fourier transforms (DFT). Given the sizes of multiple DFT, a range for the detectable frequencies in undersampled waveforms is presented for a set of general multiple frequencies. It is shown that, given multiple undersampling rates, the maximal range of the detectable multiple frequencies is the least common multiple of these multiple rates under the assumption that these rates are larger than twice of the maximal distance between the multiple frequencies.
Keywords :
discrete Fourier transforms; signal detection; signal sampling; detectable multiple frequencies; discrete Fourier transforms; least common multiple; maximal distance; multiple DFT; multiple frequency detection; multiple undersampling rates; undersampled waveforms; Costs; Discrete Fourier transforms; Engineering profession; Frequency; Hardware; Sampling methods;
Conference_Titel :
Signals, Systems & Computers, 1997. Conference Record of the Thirty-First Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-8186-8316-3
DOI :
10.1109/ACSSC.1997.680567