| 1. | I mean, a lens is an inverse fourier transform right?
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| 2. | It is usually generated by filtering white noise or inverse Fourier transform.
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| 3. | The inverse Fourier transform converts the frequency domain function back to a time function.
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| 4. | In fact, this is the real inverse Fourier transform of and in the variable.
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| 5. | Using the inverse Fourier transform, the inverse Randon transform formula can be easily derived.
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| 6. | In that case the solution to the original problem is recovered using the inverse Fourier transform.
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| 7. | The corresponding impulse response can be calculated using the inverse Fourier transform of the shown frequency response
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| 8. | This is done by performing an inverse Fourier Transform that converts frequency domain data to time domain.
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| 9. | It sounds like an inverse fourier transform should convert that PSD into a representative time-series.
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| 10. | The impulse response of such a filter is given by the inverse Fourier transform of the frequency response:
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