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Convolution

Convolution applies either an impulse response or a frequency response function (FRF) to one time-series signal and outputs the corresponding response time history.

Input and output

The first input changes with Input Type:

Input Type First input Second input Output
FRF + Time Domain FRF histogram one time-series signal response time history and derived impulse response
Time Domain + Time Domain time-series kernel / impulse response one time-series signal response time history

The signal input must contain exactly one channel with a positive sampling interval. In FRF mode, the histogram must be an FRF generated by Spectrum Generator and use either real/imaginary or magnitude/phase representation.

Main parameters

  • Input Type: selects FRF or time-domain kernel processing and updates the first input port.
  • Method: Auto, Time Domain Convolution, or FFT Convolution.

Usage notes

  • The response length is kept the same as the signal input length.
  • In FRF mode, connect the FRF output of Spectrum Generator and a uniformly sampled excitation time series. The module also provides the impulse response derived from the FRF for inspection.
  • Confirm input and response units before interpreting the result; the output unit follows the response unit carried by the FRF where available.