TFA Adaptive Spectrogram VI
- Updated2024-07-30
- 2 minute(s) read
Decomposes the signal into a linear combination of Gaussian chirplet elementary functions and sums the Wigner-Ville Distribution (WVD) of all the Gaussian chirplet elementary functions to compute the quadratic time-frequency representation of signal. Use this VI if the signal contains Gaussian chirps. Wire data to the signal input to determine the polymorphic instance to use or manually select the instance.

TFA Adaptive Spectrogram Details
You can combine a series of Gaussian chirplets to approximate a signal, s(t). The adaptive spectrogram is the summation of the weighted WVD of each Gaussian chirplet. The adaptive spectrogram does not contain cross-term interference. Because the WVD of the Gaussian function is nonnegative, the adaptive spectrogram is also nonnegative. Use the adaptive spectrogram if a set of Gaussian chirplets can represent the signal.