Publication | Closed Access
Analysis of the Exponential Signal by the Interpolated DFT Algorithm
60
Citations
14
References
2010
Year
Numerical AnalysisEngineeringSpectrum EstimationTime-frequency AnalysisExponential SignalsDiscrete Fourier TransformComputational ElectromagneticsDft ResultsTimefrequency AnalysisApproximation TheoryGeometric InterpolationInterpolation SpaceComputer EngineeringFourier AnalysisInverse ProblemsSignal ProcessingExponential SignalExponential AlgorithmSpectral AnalysisWaveform AnalysisFrequency Domain Analysis
In this paper, exponential signals in the frequency domain are accurately analyzed by an algorithm, and the peaks of the discrete Fourier transform (DFT) result are adopted to obtain parameters that include amplitudes, frequencies, dampings, and phases. There are two steps for this algorithm: interpolated DFT and leakage elimination. Interpolated DFT refers to the three neighboring spectral lines at the peak of each mode used to calculate an approximate result, with the purpose of leakage elimination being to eliminate the influence of leakage on these data. After some iteration, this algorithm will obtain accurate parameters of the exponential components that are derived from their DFT results. The comparison of different algorithms is also discussed in this paper.
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