Accurate signal sorting method

A signal and sorting technology, applied in the field of signal sorting, can solve problems such as inability to accurately determine the mean value of the envelope and inaccurate modes

Inactive Publication Date: 2017-01-25
赵俭
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Problems solved by technology

But the transient test method has two disadvantages: first, the scale selection in the transient test is subjective; second, the subjective scale selection is only useful when there are obvious separable and definable scales in the data, and when the data This method no longer works when the mesoscale is very complex
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Embodiment Construction

[0018] The present invention includes the following steps.

[0019] 1) Find all the maximum and minimum points of the signal x(t).

[0020] 2) Use the cubic spline function method to interpolate the maximum value point sequence and the minimum value point sequence to obtain the upper and lower envelopes e(t)+ and e(t)− of the signal.

[0021] 3) Calculate the average envelope and extract the details of the signal d(t)=x(t)−m(t).

[0022] 4) Determine whether d(t) satisfies the two conditions of IMF, if not, record x(t)=d(t), repeat steps 1) to 4) until the conditions are met, d(t) is an IMF , denoted as 1imf.

[0023] 5) Record 11r(t)=x(t)−imf as the new signal to be decomposed, repeat steps 1) to 4) to get the second IMF, denoted as 2imf, and the remainder is 212r(t)=r( t)−imf; repeat the above steps until the remainder is a monotonic signal or less than a certain threshold, and the decomposition ends; finally x(t) is decomposed into i IMFs and a remainder, denoted as xt=Σ...

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Abstract

The invention relates to an accurate signal sorting method and belongs to the field of signal sorting technology. The accurate signal sorting method has good stability and flexibility, and comprises the steps of 1), obtaining a maximum value point and a minimal value point of signal x (T); 2, conducting the interpolation respectively for the sequences of the maximum value point and the sequences of the minimal value point by using a three-spline function method to obtain an upper envelope line e(t)+ and a lower envelope line e(t)- of signals; 3), calculating the average envelope line and extracting the details d(t)=x(t)-m(t) of the signals; 4), determining whether d(t) meets the two conditions of IMF or not, if not, recording as x(t)=d(t), repeating the steps from 1) to 4) until d(t) meets the two conditions of IMF, wherein d(t) is an IMF and denoted as 1imf.

Description

technical field [0001] The invention belongs to the technical field of signal sorting, in particular to an accurate signal sorting method. Background technique [0002] Methods to solve the modal aliasing problem are mainly divided into four categories. (1) Adopt the transient test method, and overcome the modal aliasing by setting the transient test method of the upper limit frequency of each IMF. But the transient test method has two disadvantages: first, the scale selection in the transient test is subjective; second, the subjective scale selection is only useful when there are obvious separable and definable scales in the data, and when the data When the mesoscale is very complex, this method is no longer applicable. (2) Use the auxiliary processing method to filter out the transient signal, and then perform EMD decomposition. [0003] This method uses the original signal to construct a template signal to overcome mode aliasing, but it is very difficult to construct a...

Claims

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Application Information

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IPC IPC(8): G06F17/50
Inventor 赵俭
Owner 赵俭
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