PATENT CLAIM ANALYSIS

Application Number: 15943852
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-04
Patent Classification: ["324", "613000"]

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.

Claim (Index 1):
A method for reducing random noise from a magnetic resonance sounding (MRS) oscillating signal using joint algorithms of Empirical Mode Decomposition (EMD) and Time-Frequency Peak Filtering (TFPF), comprising the following steps:\n a). performing an EMD decomposition for a MRS observed signal X(n) which is collected by a MRS groundwater detector, to decompose i different eigen-mode components C 1 (n), . . . , C i (n) and one trend term R i (n) from a high frequency to a low frequency, and X(n)=C 1 (n)+ . . . +C i (n)+R i (n); where n is a discrete sample point; b). performing a Fourier Transform and an auto-correlation analysis for the eigen-mode components C 1 (n), . . . , C i (n) and the trend term R i (n), synthesizing the Fourier Transform results and the auto-correlation analysis results to obtain noise-dominated mode components and signal-dominated mode components, and extracting the signal-dominated mode components c 1 (n), . . . , c j (n) ; where j is the number of the signal-dominated mode components; c). using a TFPF algorithm to process the signal-dominated mode components c 1 (n), . . . , c j (n) respectively, to eliminate random noise contained in each signal-dominated mode component to obtain signal components s 1 (n), . . . , s j (n); and d). adding the signal components s 1 (n), . . . , s j (n) to obtain a final MRS oscillating signal s(n) having no random noise interference, s(n)=s 1 (n)+ . . . +s j (n).

Metadata:
- Claim Count in Document: 5.0
- Percentile: 91.0
- Lexical Diversity: 1.74419
- Patent Class: 324.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15426760', '11490078', '09267968', '15519311', '13813138']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4974483603995124
- 35 USC 102 Novelty (BERT): 0.4800797544257698
- Combined Prediction Score: 0.4957114998021381
- Mean Citation Score: 156.201542
- Max Citation Score: 159.62913999999995
- Similarity Product: 109.17681955756184

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test