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The adaptive spectrogram method is similar to the Gabor spectrogram method. The difference is that the adaptive spectrogram uses the adaptive expansion to decompose the signal and the Gabor spectrogram uses the Gabor expansion to decompose the signal before applying the Wigner-Ville Distribution (WVD). Also, the adaptive spectrogram sums only the WVD of the elementary functions, or auto-terms, and ignores the cross-terms between every two elementary functions.
The adaptive spectrogram has a fine and adaptive time-frequency resolution because the elementary functions of the adaptive expansion have a fine and adaptive time-frequency resolution. The time-frequency resolution of the adaptive transform adapts to the signal characteristics. The adaptive spectrogram does not include cross-term interference because it ignores all the cross-terms. For example, if a signal is composed of chirplets, you can use the adaptive spectrogram to depict accurately how the chirplets appear in the time-frequency domain.
The computation time of the adaptive spectrogram increases with the size of the data set. Also, if the signal has a nonlinear frequency modulation, the adaptive spectrogram might include too much distortion because the adaptive expansion approximates the nonlinear modulation as a linear combination of chirplets with linear frequency modulation.
Use the TFA Adaptive Spectrogram VI to compute the adaptive spectrogram.
The following figure shows twenty superimposed, simulated chirplets designed to test the time-frequency resolution and performance of the adaptive spectrogram. You cannot distinguish the separate chirplets in the time-domain representation in the following figure.
The following figure shows the adaptive spectrogram of the simulated chirplet signal in the previous figure.
All the chirplets in the previous figure are separated clearly, appear compact, and show that the adaptive spectrogram has a high and adaptive time-frequency resolution.
The following figure shows the Gabor spectrogram of the simulated chirplet signal when the order is 2 and the window length is 256.
The Gabor spectrogram in the previous figure has a lower time-frequency resolution than the adaptive spectrogram in the figure of the adaptive spectrogram of the simulated chirplet signal, and some of the chirplets blend together, which prevents you from separating the two signal components.