Sinc function: Difference between revisions
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The normalized sinc function has a simple representation as the [[infinite product]] |
The normalized sinc function has a simple representation as the [[infinite product]] |
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:<math>\frac{\sin(\pi x)}{\pi x} = \lim_{ |
:<math>\frac{\sin(\pi x)}{\pi x} = \lim_{N\to\infty}\prod_{n=1}^N \left(1 - \frac{x^2}{n^2}\right)\,\!</math> |
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and is related to the [[gamma function]] <math>\Gamma(x)</math> by [[Euler's reflection formula]]: |
and is related to the [[gamma function]] <math>\Gamma(x)</math> by [[Euler's reflection formula]]: |
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[[Euler]] discovered that |
[[Euler]] discovered that |
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:<math>\frac{\sin(x)}x=\ |
:<math>\frac{\sin(x)}{x} = \lim_{N\to\infty}\prod_{n=1}^N \cos\left(\frac{x}{2n}\right) \ .</math> |
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The [[continuous Fourier transform]] of the normalized sinc (to ordinary frequency) is [[rectangular function|rect]](''f''), |
The [[continuous Fourier transform]] of the normalized sinc (to ordinary frequency) is [[rectangular function|rect]](''f''), |
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:<math>\int_{-\infty}^\infty \mathrm{sinc}(t) \, e^{-2\pi |
:<math>\int_{-\infty}^\infty \mathrm{sinc}(t) \, e^{-i 2 \pi f t}\,dt = \mathrm{rect}(f),\,\!</math> |
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where the [[rectangular function]] is 1 for argument between −1/2 and 1/2, and zero otherwise. This corresponds to the fact that the [[sinc filter]] is the ideal ([[brick-wall filter|brick-wall]], meaning rectangular frequency response) [[low-pass filter]]. This Fourier integral, including the special case |
where the [[rectangular function]] is 1 for argument between −1/2 and 1/2, and zero otherwise. This corresponds to the fact that the [[sinc filter]] is the ideal ([[brick-wall filter|brick-wall]], meaning rectangular frequency response) [[low-pass filter]]. This Fourier integral, including the special case |
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* λ sinc(λ ''x'') (not normalized) is one of two linearly independent solutions to the linear [[ordinary differential equation]] |
* λ sinc(λ ''x'') (not normalized) is one of two linearly independent solutions to the linear [[ordinary differential equation]] |
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::<math>x \frac{d^2 y}{d x^2} + 2 \frac{d y}{d x} + \lambda^2 x y = 0.\,\!</math> |
::<math>x \frac{d^2 y}{d x^2} + 2 \frac{d y}{d x} + \lambda^2 x y = 0.\,\!</math> |
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:The other is cos( |
:The other is cos(λ ''x'')/''x'', which is not bounded at ''x'' = 0, unlike its sinc function counterpart. |
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* <math> \int_{-\infty}^{\infty} \frac{\sin^2(\theta)}{\theta^2}\,d\theta = \pi \,\! \rightarrow \int_{-\infty}^{\infty} sinc^2(x)\,dx = 1 \,\!</math>. |
* <math> \int_{-\infty}^{\infty} \frac{\sin^2(\theta)}{\theta^2}\,d\theta = \pi \,\! \rightarrow \int_{-\infty}^{\infty} \mathrm{sinc}^2(x)\,dx = 1 \,\!</math>. |
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where the normalized sinc is meant. |
where the normalized sinc is meant. |
Revision as of 17:27, 14 April 2010
This article needs additional citations for verification. (October 2009) |
In mathematics, the sinc function, denoted by sinc(x) and sometimes as Sa(x), has two definitions. In digital signal processing and information theory, the normalized sinc function is commonly defined by
It is called normalized because its Fourier transform is the rectangular function and its square integral is unity. In mathematics, the historical unnormalized sinc function is defined by
In both cases, the value of the function at the removable singularity at zero is sometimes specified explicitly as the limit value 1.[1] The sinc function is analytic everywhere.
The term "sinc" is a contraction of the function's full Latin name, the sinus cardinalis (cardinal sine).
Properties
The zero crossings of the unnormalized sinc are at nonzero multiples of π; zero crossings of the normalized sinc occur at nonzero integer values.
The local maxima and minima of the unnormalized sinc correspond to its intersections with the cosine function. That is, sin(ξ)/ξ = cos(ξ) for all points ξ where the derivative of sin(x)/x is zero (and thus a local extremum is reached).
The normalized sinc function has a simple representation as the infinite product
and is related to the gamma function by Euler's reflection formula:
Euler discovered that
The continuous Fourier transform of the normalized sinc (to ordinary frequency) is rect(f),
where the rectangular function is 1 for argument between −1/2 and 1/2, and zero otherwise. This corresponds to the fact that the sinc filter is the ideal (brick-wall, meaning rectangular frequency response) low-pass filter. This Fourier integral, including the special case
is an improper integral; it is not a convergent Lebesgue integral, as
The normalized sinc function has properties that make it ideal in relationship to interpolation and bandlimited functions:
- It is an interpolating function, i.e., sinc(0) = 1, and sinc(k) = 0 for nonzero integer k.
- The functions xk(t) = sinc(t−k) form an orthonormal basis for bandlimited functions in the function space L2(R), with highest angular frequency ωH = π (that is, highest cycle frequency ƒH = 1/2).
Other properties of the two sinc functions include:
- The unnormalized sinc is the zeroth order spherical Bessel function of the first kind, . The normalized sinc is j0(π x).
- where Si(x) is the sine integral.
- λ sinc(λ x) (not normalized) is one of two linearly independent solutions to the linear ordinary differential equation
- The other is cos(λ x)/x, which is not bounded at x = 0, unlike its sinc function counterpart.
- .
where the normalized sinc is meant.
Relationship to the Dirac delta distribution
The normalized sinc function can be used as a nascent delta function, meaning that the following weak limit holds:
This is not an ordinary limit, since the left side does not converge. Rather, it means that
for any smooth function with compact support.
In the above expression, as a approaches zero, the number of oscillations per unit length of the sinc function approaches infinity. Nevertheless, the expression always oscillates inside an envelope of ±1/(π a x), and approaches zero for any nonzero value of x. This complicates the informal picture of δ(x) as being zero for all x except at the point x = 0 and illustrates the problem of thinking of the delta function as a function rather than as a distribution. A similar situation is found in the Gibbs phenomenon.
See also
- Dirichlet integral
- Anti-aliasing
- Sinc filter
- Lanczos resampling
- Whittaker–Shannon interpolation formula
References
- ^ W. Michael Kelley (2002). The complete idiot's guide to calculus. Alpha Books. p. 144. ISBN 9780028643656.