Exact(2)
Let be a window function satisfying.
Theorem 2.3 Let φ ∈ S ( R d ) ∖ { 0 } be a window function.
Similar(58)
where is a signal, and is a window function.
where is a window function centered at time t.
(h tau )) is a window function sliding with time.
where is a signal, and w(t) is a window function.
where x t) is a signal while w(t) is a window function.
where ψ is wavelet function of hyperanalytic shearlet, W is a window function localized on a pair of trapezoid.
Here, F x) is a window function which satisfies the conditions F 0) = F(1) = 0 so that there is no drift at the boundaries.
Here, f p (w,w p ) is a window function which limits the value of f(w) to 0 when x t) = 1 and v t) > 0.
where wpw (n) is a window function that can be described as: {w}_{mathrm{pw}}(n)=1-{displaystyle sum_{i=-infty}^{infty }}h(i cdot wleft n-{n}_iright) (8).
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