Restore B-Field Signal Using Calibration Table

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Restoring the input B-field signal from a recorded output using a calibration table involves a non-linear amplitude-frequency characteristic. The proposed method includes performing an FFT conversion, applying the calibration, and then executing a reverse FFT, but issues arise with splicing jumps in the output. The discussion suggests that the problem may stem from a lack of windowing during the process. A filter derived from the calibration table is recommended to mitigate these issues. Proper windowing techniques can help achieve a smoother signal restoration.
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Hi All!

I has probe (B-field induction probe) with non linear amplitude-frequency characteristic. I has calibration table with 3 columns: frequency, amplitude, phase. I has output signal U(t) recorded with sample frequency Fs during rather long time.
Can I restore input signal (i.e. B-field amplitude B(t))?
I try to use (in Matlab) the next algorithm: FFT conversion -> apply calibration -> reverse FFT conversion.
But I obtain jump at splicing.

It seems I must create filter from my calibration table and filtered my signal. But how?

Jury
 
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poklad said:
Hi All!

I has probe (B-field induction probe) with non linear amplitude-frequency characteristic. I has calibration table with 3 columns: frequency, amplitude, phase. I has output signal U(t) recorded with sample frequency Fs during rather long time.
Can I restore input signal (i.e. B-field amplitude B(t))?
I try to use (in Matlab) the next algorithm: FFT conversion -> apply calibration -> reverse FFT conversion.
But I obtain jump at splicing.

It seems I must create filter from my calibration table and filtered my signal. But how?

Jury

Sounds like a (lack of) windowing (filter) problem.

http://www.mathworks.com/help/toolbox/signal/window.html
 
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