Waveform generation

Abstract

A method (500, FIG. 5A) of training a machine learning model 300. The method (500, FIG. 5A) comprises receiving (504, FIG. 5A) training data 310 comprising a plurality 314 of samples. Each sample corresponds to a transmission of a respective jamming signal to a respective target device of a plurality 312 of target devices. Each sample comprises a jamming efficacy of the respective jamming signal and a value of each of one or more signal parameters that define a waveform of the respective jamming signal. The method (500, FIG. 5A) further comprises training (506, FIG. 5A), using the training data 310, the machine learning model 300 to learn a mapping between each combination of target devices from the plurality 312 of target devices and a respective waveform. Each waveform is effective, when transmitted in a collective jamming signal, to jam all of the target devices in the respective combination of target devices.

Dependencies are inferred from the claim text.