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Shah Function


ShahFunction

The shah function is defined by

m(x)=sum_(n=-infty)^(infty)delta(x-n)
(1)
=sum_(n=-infty)^(infty)delta(x+n),
(2)

where delta(x) is the delta function, so m(x)=0 for x not in Z (i.e., x is not an integer). The shah function is also called the sampling symbol or replicating symbol (Bracewell 1999, p. 77), and is implemented in the Wolfram Language as DiracComb[x].

It obeys the identities

m(ax)=1/(|a|)sum_(n=-infty)^(infty)delta(x-n/a)
(3)
m(-x)=m(x)
(4)
m(x+n)=m(x)
(5)
m(x-1/2)=m(x+1/2).
(6)

The shah function is normalized so that

 int_(n-1/2)^(n+1/2)m(x)dx=1.
(7)

The "sampling property" is

 m(x)f(x)=sum_(n=-infty)^inftyf(n)delta(x-n)
(8)

and the "replicating property" is

 m(x)*f(x)=sum_(n=-infty)^inftyf(x-n),
(9)

where * denotes convolution.

The two-dimensional sampling function, sometimes called the bed-of-nails function, is given by

 ^2m(x,y)=sum_(m=-infty)^inftysum_(n=-infty)^inftydelta(x-m,y-n),
(10)

which can be adjusted using a series of weights as

 v(x,y)=sumR_(mn)T_(mn)D_(mn)delta(x-m_n,y-n),
(11)

where R_(mn) is a reliability weight, D_(mn) is a density weight (weighting function), and T_(mn) is a taper. The two-dimensional shah function satisfies

 ^2m(x,y)=m(x)m(y)
(12)

(Bracewell 1999, p. 85).


See also

Convolution, Delta Function, Impulse Pair, Sinc Function

Explore with Wolfram|Alpha

References

Bracewell, R. "The Sampling or Replicating Symbol m(x)." In The Fourier Transform and Its Applications, 3rd ed. New York: McGraw-Hill, pp. 77-79 and 85, 1999.

Referenced on Wolfram|Alpha

Shah Function

Cite this as:

Weisstein, Eric W. "Shah Function." From MathWorld--A Wolfram Web Resource. https://mathworld.wolfram.com/ShahFunction.html

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