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Hilbert Transform

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Digital Fourier Analysis: Advanced Techniques
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Abstract

First, we will discuss a problem of extracting the envelope of a sine waveform when its amplitude changes slowly as a function of time. If the waveform can be represented by a rotating vector and the vector length changes slowly as the time goes, the time change of the vector length is the envelope of the waveform.

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Correspondence to Ken’iti Kido .

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Kido, K. (2015). Hilbert Transform. In: Digital Fourier Analysis: Advanced Techniques. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-1127-1_5

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