US 11,988,699 B2
Related interference wave presentation device and method
Kentaro Suetsugu, Tokyo (JP); Congbing Li, Tokyo (JP); and Tetsuya Nakamura, Tokyo (JP)
Assigned to TOYO Corporation, Tokyo (JP)
Filed by TOYO Corporation, Tokyo (JP)
Filed on Dec. 16, 2021, as Appl. No. 17/552,568.
Application 17/552,568 is a continuation of application No. PCT/JP2019/026223, filed on Jul. 2, 2019.
Prior Publication US 2022/0107348 A1, Apr. 7, 2022
Int. Cl. G01R 29/08 (2006.01); H04B 17/345 (2015.01); H04B 17/391 (2015.01)
CPC G01R 29/0835 (2013.01) [G01R 29/0871 (2013.01); H04B 17/345 (2015.01); G01R 29/0892 (2013.01); H04B 17/3912 (2015.01)] 17 Claims
OG exemplary drawing
 
13. A related interference wave presentation device, comprising:
class specifying processor circuitry configured to specify a class to which a reference interference wave, which is a referenced interference wave, belongs, using a learned model generated by machine learning of sample data including interference waves to specify a class to which an interference wave belongs based on feature values of the interference wave;
related interference wave information generating processor circuitry configured to retrieve the sample data based on the class to which the reference interference wave belongs and generate related interference wave information which is information about a related interference wave; and
a presentation controller configured to perform control to present the related interference wave information in part or in whole, and
wherein the machine learning method is a predetermined clustering method,
wherein the clustering method is k-means clustering, and
wherein the class specifying processor circuitry is configured to specify a class to which the reference interference wave belongs using the k-nearest neighbor algorithm based on a learned model generated by machine learning of the sample data using the k-means clustering and the reference interference wave.