Wimi Announced Acoustic Hologram Reconstruction Based On Unsupervised Wavefield Deep Learning

The deep learning model is trained using an unsupervised learning approach. This means that the model is not given any labels or other information about the data. Instead, it is trained to automatically learn patterns and features in the data.

Acoustic hologram reconstruction: The trained deep learning model is then used to reconstruct the acoustic hologram from the acoustic wavefield data. This is done by using the model to predict the amplitude, frequency, and phase of the sound wave at each point in the wavefield.