2014
DOI: 10.18100/ijamec.36094
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Fourier-type integral transforms in modeling of transversal oscillation

Abstract: Envelope detection and measurement has important applications in many domains such as instrumentation, sensors characterization, analog and digital communications. Instead of other envelope detection methods that use analog circuits or digital filters, we propose an electronic circuit that operates measurement in coherent mode. After reproduction of the input wave frequency using direct digital synthesizer, we place the envelope on a new low reference frequency signal followed by an analog measurement block ba… Show more

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(2 citation statements)
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“…The reader may refer to, for example, previous studies. [1][2][3][4][5][6][7][8][9][10][11][12] Among the many classical integral transforms is Fourier-Bessel transform (also designated as Hankel transform) that is a fundamental tool in many areas of mathematical statistics, physics, engineering, probability theory, analytic number theory, data analysis, and so on (see, for instance, previous studies [13][14][15][16][17][18][19] ). Many researchers regard ℌ{g(𝜂); q} = ∫ ∞ 0 q 𝔍 m (𝜂q) g(𝜂) d𝜂, q > 0, (1.1) the standard Fourier-Bessel transform involving the mth-order Bessel function of the first kind 𝔍 m (𝜂) as a kernel.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…The reader may refer to, for example, previous studies. [1][2][3][4][5][6][7][8][9][10][11][12] Among the many classical integral transforms is Fourier-Bessel transform (also designated as Hankel transform) that is a fundamental tool in many areas of mathematical statistics, physics, engineering, probability theory, analytic number theory, data analysis, and so on (see, for instance, previous studies [13][14][15][16][17][18][19] ). Many researchers regard ℌ{g(𝜂); q} = ∫ ∞ 0 q 𝔍 m (𝜂q) g(𝜂) d𝜂, q > 0, (1.1) the standard Fourier-Bessel transform involving the mth-order Bessel function of the first kind 𝔍 m (𝜂) as a kernel.…”
Section: Introductionmentioning
confidence: 99%
“…They are also useful in evaluating integrals involving special functions. The reader may refer to, for example, previous studies 1–12 …”
Section: Introductionmentioning
confidence: 99%