Mathematical frame extension
In mathematics, a fusion frame of a vector space is a natural extension of a frame. It is an additive construct of several, potentially "overlapping" frames. The motivation for this concept comes from the event that a signal can not be acquired by a single sensor alone (a constraint found by limitations of hardware or data throughput), rather the partial components of the signal must be collected via a network of sensors, and the partial signal representations are then fused into the complete signal.
By construction, fusion frames easily lend themselves to parallel or distributed processing[1] of sensor networks consisting of arbitrary overlapping sensor fields.
Given a Hilbert space , let be closed subspaces of , where is an index set. Let be a set of positive scalar weights. Then is a fusion frame of if there exist constants such that
where denotes the orthogonal projection onto the subspace . The constants and are called lower and upper bound, respectively. When the lower and upper bounds are equal to each other, becomes a -tight fusion frame. Furthermore, if , we can call Parseval fusion frame.[1]
Assume is a frame for . Then is called a fusion frame system for .[1]
Relation to global frames
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Let be closed subspaces of with positive weights . Suppose is a frame for with frame bounds and . Let and , which satisfy that . Then is a fusion frame of if and only if is a frame of .
Additionally, if is a fusion frame system for with lower and upper bounds and , then is a frame of with lower and upper bounds and . And if is a frame of with lower and upper bounds and , then is a fusion frame system for with lower and upper bounds and .[2]
Local frame representation
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Let be a closed subspace, and let be an orthonormal basis of . Then the orthogonal projection of onto is given by[3]
We can also express the orthogonal projection of onto in terms of given local frame of
where is a dual frame of the local frame .[1]
Fusion frame operator
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Let be a fusion frame for . Let be representation space for projection. The analysis operator is defined by
The adjoint is called the synthesis operator , defined as
where .
The fusion frame operator is defined by[2]
Given the lower and upper bounds of the fusion frame , and , the fusion frame operator can be bounded by
where is the identity operator. Therefore, the fusion frame operator is positive and invertible.[2]
Given a fusion frame system for , where , and , which is a dual frame for , the fusion frame operator can be expressed as
- ,
where , are analysis operators for and respectively, and , are synthesis operators for and respectively.[1]
For finite frames (i.e., and ), the fusion frame operator can be constructed with a matrix.[1] Let be a fusion frame for , and let be a frame for the subspace and an index set for each . Then the fusion frame operator reduces to an matrix, given by
with
and
where is the canonical dual frame of .