Instantaneous Frequency Estimation Method Based on Non-Delayed Cost Function and Grubbs Test
A cost function, instantaneous frequency technology, applied in computing, electrical digital data processing, special data processing applications, etc., can solve the problems of low accuracy and precision, delay of one-step cost function, and lack of self-adaptability of functions, and achieve elimination Error, elimination of time delay, relative error reduction effect
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[0064] Examples such as figure 1 As shown, the instantaneous frequency estimation method based on non-delayed cost function and Grubbs test includes the following steps:
[0065] Step 1: Use the short-time Fourier transform algorithm to convert the signal x(k) (k=1, 2, ..., N) into a time-spectrogram, where N represents the length of the signal;
[0066] Step 2: Select a local area with a high signal-to-noise ratio from the time-spectrogram, and use the Canny detection algorithm to convert the local area into a binary image. The binary image contains multiple ridge bands; a local area refers to at least two Ridge bands, the area where the signal-to-noise ratio is greater than 80dB;
[0067] Step 3: Use the Grubbs test algorithm to exclude outliers at the upper and lower edges of each ridge band;
[0068] Step 4: Superimpose the above-mentioned multiple ridges on one of the ridges with the most complete outline according to the kinematic proportional relationship between them...
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