首页|Researcher at Sandia National Laboratories Has Published New Study Findings on M achine Learning (Denoising Seismic Waveforms Using a Wavelet-Transform-Based Mac hine-Learning Method)
Researcher at Sandia National Laboratories Has Published New Study Findings on M achine Learning (Denoising Seismic Waveforms Using a Wavelet-Transform-Based Mac hine-Learning Method)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ar tificial intelligence. According to news reportingout of Albuquerque, New Mexic o, by NewsRx editors, research stated, “ABSTRACT: Seismic waveformdata recorded at stations can be thought of as a superposition of the signal from a source of interestand noise from other sources. Frequency-based filtering methods for wa veform denoising do not result indesired outcomes when the targeted signal and noise occupy similar frequency bands.”
Sandia National LaboratoriesAlbuquerqu eNew MexicoUnited StatesNorth and Central AmericaCyborgsEmerging Techn ologiesMachine Learning
NETL
NSTL
