Underground water signal decomposition method capable of eliminating mode aliasing

A signal decomposition and modal aliasing technology, applied in the field of signal processing, can solve problems such as modal component distortion that cannot be fundamentally eliminated

Inactive Publication Date: 2015-06-03
CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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Problems solved by technology

At present, Ensemble Mode Decomposition (Ensemble EMD, EEMD) is a common method used to reduce modal aliasing. Although EEMD can reduce

Method used

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  • Underground water signal decomposition method capable of eliminating mode aliasing
  • Underground water signal decomposition method capable of eliminating mode aliasing
  • Underground water signal decomposition method capable of eliminating mode aliasing

Examples

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Embodiment Construction

[0005] to combine figure 1 and 4 This embodiment will be described.

[0006] step one: figure 1 The simulated groundwater detection signal is discretely sampled, and the sampling point data and time are stored as an array into the array variable Xend.

[0007] Step 2: Assign the array variable Xend to another array variable Xstart with the same dimension and length.

[0008] Step 3: Obtain the maximum and minimum points of Xstart respectively.

[0009] Step 4: Calculate the time interval between adjacent extreme points T n .

[0010] Step 5: Calculate the obtained time interval T n Sort from small to large.

[0011] Step 6: Judging the time interval change rate Δ T , when Δ T When the set value is exceeded, take the value of the time interval before the change as the maximum time interval value of this request mode T max .

[0012] Step 7: When the time interval between adjacent extreme points is greater than T max , the amplitude and time of Xstart betw...

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Abstract

The invention discloses an underground water signal decomposition method capable of eliminating mode aliasing. The method comprises the following steps: firstly, solving median points in all adjacent extreme points in the underground water signal, and directly utilizing the median points to fit a medina point envelope curve; then, solving time intervals among all adjacent extreme points, arranging the time intervals according to a small to large sequence, and taking one value before transform as a current requirement to take a maximum time interval of the mode when a transform rate of the time intervals exceeds a minimum mode dividing point; then, taking the maximum time interval as a boundary to replace a fitting curve part which is greater than the boundary and is contained between a maximum value and a minimum value with an original signal curve, judging whether a mode decomposition terminal condition is met or not ,if the mode decomposition terminal condition is met, finishing the decomposition of one mode signal, and otherwise, returning to the first step to carry out a repeated iterative operation. The underground water signal decomposition method favorably eliminates a mode aliasing phenomenon of EMD (Empirical Mode Decomposition) and EEMD (Ensemble Empirical Mode Decomposition) and can carry out effective and accurate analysis on a detected underground water signal.

Description

technical field [0001] The invention relates to signal processing technology, in particular to a groundwater signal decomposition method capable of eliminating the inherent modal mixing problem of EMD (empirical mode decomposition) and EEMD (ensemble empirical mode decomposition). Background technique [0002] Due to the stable water quantity and good water quality, groundwater is one of the important water sources for agricultural irrigation, industrial and mining enterprises and drinking. Due to the uneven distribution of groundwater and the lack of reliable and accurate detection methods, there are often embarrassing situations where wells that have been drilled for tens of hundreds of meters have no water, resulting in a lot of waste of manpower, material and financial resources. Groundwater detection is a worldwide problem, and its signal is a low-frequency weak signal in the background of strong noise, which has nonlinear and non-stationary characteristics. The tradit...

Claims

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Application Information

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IPC IPC(8): G06F17/14G01V9/02
Inventor 王玉凤范必双
Owner CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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