Patent ID: 7103491

Claim:
A machine-implemented method of estimating parameters of time series data using a Fourier transform, comprising the steps of: performing an Analog-to-Digital (A/D) conversion with respect to analog signal type time series data and inputting a result thereof; performing a Fourier transform with respect to the inputted time series data to calculate a peak Fourier spectrum X(ω 1 ) of a peak frequency ω 1 ; obtaining a real part α of a mode by applying a frequency ω α of the Fourier spectrum corresponding to 1/√2 of a magnitude of the calculated peak Fourier spectrum X(ω 1 ) and the peak frequency ω 1 into an equation α=|ω 1 −ω α |; obtaining a magnitude A of the time series data by applying the obtained peak Fourier spectrum X(ω 1 ), the peak frequency ω 1 , and the real part α of the mode into an equation A = α ⁢ α 2 + A ⁢ ⁢ ω 1 2 ω 1 ⁢ X ⁡ ( ω 1 ) ; and outputting the magnitude A of the time series data, the real part α of the mode, and the peak frequency ω 1 , which are respective parameters obtained above.