Method for acquiring system eigenfunction and signal feature value
A signal feature value and acquisition system technology, applied in special data processing applications, complex mathematical operations, electrical digital data processing, etc., can solve the problems of increased dispersion of system parameter identification, low signal-to-noise ratio, difficult feature extraction and noise influence, etc.
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[0040]In order to overcome the shortcomings of time-domain identification methods that are very sensitive to test noise, signal processing leakage errors, modal truncation, nonlinearity and other factors, time-frequency filtering and frequency-domain parameter identification methods are used to overcome the influence of noise, so cross-spectrum is proposed Power density function-time-frequency spatial domain decomposition method. One of the characteristics of this method is that time-frequency spatial domain decomposition can effectively remove noise and non-stationary signals in the output signal of the system under environmental excitation, and obtain a good output characteristic function of the system: cross power spectral density function; the second characteristic of this method is The cross power spectral density function in the stationary state is used instead of the system frequency response function, because their calculation formulas are similar in the stationary state; ...
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