US 12,189,715 B2
Signal synthesizer data pump system
Matthew T. Gerdes, Oakland, CA (US); Guang C. Wang, San Diego, CA (US); Kenny C. Gross, Escondido, CA (US); and Timothy David Cline, Gainesville, VA (US)
Assigned to Oracle International Corporation, Redwood City, CA (US)
Filed by Oracle International Corporation, Redwood Shores, CA (US)
Filed on May 28, 2021, as Appl. No. 17/334,392.
Prior Publication US 2022/0383043 A1, Dec. 1, 2022
Int. Cl. G06F 18/214 (2023.01); G06F 1/02 (2006.01); G06N 3/08 (2023.01)
CPC G06F 18/214 (2023.01) [G06F 1/022 (2013.01); G06F 2218/12 (2023.01); G06N 3/08 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method for producing synthetic signals for testing machine-learning systems, comprising:
generating a set of N composite sinusoidal signals, wherein each of the N composite sinusoidal signals is an additive combination of multiple constituent sinusoidal signals with different periodicities;
adding time-varying random noise values to each of the N composite sinusoidal signals, wherein a standard deviation of the time-varying random noise values varies over successive time periods;
multiplying each of the N composite sinusoidal signals by time-varying amplitude values, wherein the time-varying amplitude values vary over successive time periods; and
adding time-varying mean values to each of the N composite sinusoidal signals, wherein the time-varying mean values vary over successive time periods.