Method for random noise reduction from MRS oscillating signal using joint algorithms of EMD and TFPF
US10677957B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 3, 2018 |
| Grant date | Jun 9, 2020 |
| Priority date | — |
| Expiry date | Apr 3, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01V2210/3248
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
The instant invention relates to a method for noise reduction from a magnetic resonance sounding (MRS) oscillating signal, and more particularly, to a data processing method for reducing random noise contained in MRS oscillating signal based on joint algorithm principles of EMD and TFPF. A MRS oscillating signal is decomposed into different eigen-mode components by using decomposition characteristic of EMD algorithm; then a signal-dominated eigen-mode component is encoded as an instantaneous frequency of an analytical signal of unit amplitude using TFPF algorithm; and random noise is suppressed with the characteristics that the time-frequency distribution of the analytical signal is concentrated along with the instantaneous frequency. The method requires fewer filtering constraints and is simple to operate without need of designing a filtering interval in the time-frequency domain, and has good adaptability to the MRS oscillating signal with a low signal-noise-ratio.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.