Mask signal frequency selection method based on energy index
A mask signal and frequency selection technology, applied in the field of signal processing, can solve problems such as energy leakage, mode aliasing, and the inability to completely retain the highest-order frequency signal, so as to ensure integrity and reduce errors
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Embodiment 1
[0046] Such as figure 1 As shown, a mask signal frequency selection method based on an energy index is characterized in that it comprises the following steps:
[0047] Step 1, perform EMD decomposition for a given signal x(t), including the following steps:
[0048] 101. Find all local extremum points of the signal x(t), wherein: t is a time variable;
[0049] 102. Fit the local maxima and local minima sequences with cubic splines respectively to obtain the upper and lower envelopes e u1 、e d1 ;
[0050] 103. Calculate the mean of the upper and lower envelopes
[0051] 104. Subtract the mean m from the original signal 11 (t), get the residual signal h 1 (t)=x(t)-m 11 (t);
[0052] 105. Judgment h 1 (t) Whether the given sieving stop criterion is satisfied, if so, consider h 1 (t) is an intrinsic mode function (intrinsic mode function, IMF), if not satisfied, let h 1 (t) instead of x(t), repeat the step 101 to the step 104 until the remaining signal h that satisfie...
Embodiment 2
[0070] A mask signal frequency selection method based on an energy index, comprising the following steps:
[0071] Perform EMD decomposition on the signal x(t) to be processed to obtain all intrinsic mode functions (IMF) and trend items; perform Hilbert transformation on the first-order IMF, and obtain the instantaneous frequency sequence f of the first-order component by constructing an analytical signal (t) and the instantaneous amplitude sequence a(t); use the energy mean method to obtain the average instantaneous frequency And find the mask signal amplitude Among them: p represents the position of the point in the instantaneous amplitude sequence, q represents the length of the instantaneous amplitude sequence, a(p) represents the instantaneous amplitude corresponding to the point, and f(p) represents the instantaneous value corresponding to the point Frequency; determine the range of the parameter m [2,4], the step size is 0.01, that is, there are 201 possible values ...
Embodiment 3
[0073] Next, the mask signal frequency selection method of the present invention is used to test the simulated signal to verify the suppression effect on EMD modal aliasing.
[0074] Suppose the signal x(t) to be processed is a combined signal of three sinusoidal signals
[0075] x(t)=sin(2πt·21.2)+sin(2πt·17.7)+sin(2πt·12.4), figure 2 is the time domain plot of x(t), image 3 is the spectrogram of x(t);
[0076] Perform traditional EMD decomposition on x(t), Figure 4 It is the spectrogram of the first-order IMF component. It can be seen from the figure that there are three modal frequencies in the first-order IMF component that should only contain a single frequency signal. The result of traditional EMD decomposition is not very ideal;
[0077] Analyze the first-order IMF component u(t) obtained by EMD decomposition, and perform Hilbert transformation on it Where: τ represents the time offset, d τ Integrate the variable τ to construct an analytical signal Z(t)=u(t)+jν...
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