Method and apparatus for identifying the components of a signal
First Claim
1. A method of analysing a signal, for the purpose of identifying its frequency components, by performing a fast Fourier transform on real time series samples of the signal, including, in combination, the steps of filtering to exclude alias frequencies of the signal and sampling the filtered signal at a rate substantially lower than the minimum rate required to unambiguously identify the frequency of the signal.
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Abstract
Fast Fourier Transform methods of analyzing signal frequencies spectra yield results from zero frequencies upwards. Thus, when the frequency band of interest is not at very low frequencies a lot of wasted calculations may be performed, and resolution and computation time have to be traded-off against each other, often falling short of the requirements for both. A technique is described in which the signal to be analyzed is passed through an anti-alias filter and initial transform data is collected by undersampling. In a railway track circuit receiver which is to identify a predetermined carrier frequency or FSK signal, the anti-alias filter is selected to exclude frequencies other than those in a frequency band including the particular track signal so that there is no ambiguity in the calculated transform results.
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Citations
9 Claims
- 1. A method of analysing a signal, for the purpose of identifying its frequency components, by performing a fast Fourier transform on real time series samples of the signal, including, in combination, the steps of filtering to exclude alias frequencies of the signal and sampling the filtered signal at a rate substantially lower than the minimum rate required to unambiguously identify the frequency of the signal.
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2. A method according claim l, wherein the digital sampling rate is no greater than approxmately half the frequency of the lowest expected frequency component of the signal.
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