Patent ID: 11892563
Assignee: PROJECT CANARY, PBC
Field: Measurement (Instruments)
Classification: CPC G | IPC G

Claim 5:
6. The method of claim 1, wherein converting the channel state information data into the image representation map, by the first machine learning network, comprises:
flattening an amplitude tensor corresponding to the amplitude values and a phase tensor corresponding to the phase values, to obtain a flattened amplitude tensor and a flattened phase tensor, respectively;
feeding the flattened amplitude tensor and the flattened phase tensor to a first encoder and a second encoder, respectively;
obtaining a first latent space feature corresponding to the amplitude tensor and a second latent space feature corresponding to the phase tensor, from the first encoder and the second encoder, respectively;
concatenating the first latent space feature and the second latent space feature to obtain a fused feature; and
reshaping the fused feature into a 2D feature map of a predefined configuration.