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The summation in (8) actually occurs on a finite support.
Like the autocorrelation method, it has a minimum phase, and like the covariance method it estimates the coefficients on a finite support [21].
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If the signal has a finite support in time and approximately finite support in frequency, the above sums become finite.
Members of \(V(A)\) possessing a finite support are called symmetric.
In that case, the upper limit of the sum in (5) depends on the approximately maximum frequency of, and in (6) the upper limit of the sum depends on the finite support of.
A DOD is a probability measure with finite support on SO(3), the special orthogonal group in three dimensions.
We now consider a general discrete distribution symmetric about the point 0 with support on a finite or countably infinite set (mathbb {S}), given by the pmf q(x)=sumlimits_{j in mathbb{S}} delta x-j m_{j}, (2).
A convolution of two functions with finite support leads to a function where the support of both functions is added.
A map a : Z → Z is called a discrete function if it has finite support.
Next, for any finite t > 0, the solution u ( t, x ) of the problem (2) is supported on a finite domain of x, which expands with the increase of t.
We started our investigation in Section 2 using a discrete distribution symmetric about 0 with support on the set ({mathcal {N}}_{2}), and extended it to the case of a general symmetric discrete distribution symmetric about 0, supported on a finite or countably infinite subset (mathbb {S}) of (mathbb {R}).
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