Fusion frame

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Template:Short description Template:Multiple issues 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.

Definition

Given a Hilbert space , let {Wi}i be closed subspaces of , where is an index set. Let {vi}i be a set of positive scalar weights. Then {Wi,vi}i is a fusion frame of if there exist constants 0<AB< such that

Af2ivi2PWif2Bf2,f,

where PWi denotes the orthogonal projection onto the subspace Wi. The constants A and B are called lower and upper bound, respectively. When the lower and upper bounds are equal to each other, {Wi,vi}i becomes a A-tight fusion frame. Furthermore, if A=B=1, we can call {Wi,vi}i Parseval fusion frame.[1]

Assume {fij}i,jJi is a frame for Wi. Then {(Wi,vi,{fij}jJi)}i is called a fusion frame system for .[1]

Relation to global frames

Let {Wi}i be closed subspaces of with positive weights {vi}i. Suppose {fij}i,jJi is a frame for Wi with frame bounds Ci and Di. Let C=infiCi and D=infiDi, which satisfy that 0<CD<. Then {Wi,vi}i is a fusion frame of if and only if {vifij}i,jJi is a frame of .

Additionally, if {(Wi,vi,{fij}jJi)}i is a fusion frame system for with lower and upper bounds A and B, then {vifij}i,jJi is a frame of with lower and upper bounds AC and BD. And if {vifij}i,jJi is a frame of with lower and upper bounds E and F, then {(Wi,vi,{fij}jJi)}i is a fusion frame system for with lower and upper bounds E/D and F/C.[2]

Local frame representation

Let W be a closed subspace, and let {xn} be an orthonormal basis of W. Then the orthogonal projection of f onto W is given by[3]

PWf=f,xnxn.

We can also express the orthogonal projection of f onto W in terms of given local frame {fk} of W

PWf=f,fkf~k,

where {f~k} is a dual frame of the local frame {fk}.[1]

Fusion frame operator

Definition

Let {Wi,vi}i be a fusion frame for . Let {Wi}l2 be representation space for projection. The analysis operator TW:{Wi}l2 is defined by

TW(f)={viPWi(f)}i.

The adjoint is called the synthesis operator TW:{Wi}l2, defined as

TW(g)=vifi,

where g={fi}i{Wi}l2.

The fusion frame operator SW: is defined by[2]

SW(f)=TWTW(f)=vi2PWi(f).

Properties

Given the lower and upper bounds of the fusion frame {Wi,vi}i, A and B, the fusion frame operator SW can be bounded by

AISWBI,

where I is the identity operator. Therefore, the fusion frame operator SW is positive and invertible.[2]

Representation

Given a fusion frame system {(Wi,vi,i)}i for , where i={fij}jJi, and ~i={f~ij}jJi, which is a dual frame for i, the fusion frame operator SW can be expressed as

SW=vi2T~iTi=vi2TiT~i,

where Ti, T~i are analysis operators for i and ~i respectively, and Ti, T~i are synthesis operators for i and ~i respectively.[1]

For finite frames (i.e., dim=:N< and ||<), the fusion frame operator can be constructed with a matrix.[1] Let {Wi,vi}i be a fusion frame for N, and let {fij}j𝒥i be a frame for the subspace Wi and Ji an index set for each i. Then the fusion frame operator S: reduces to an N×N matrix, given by

S=ivi2FiF~iT,

with

Fi=[fi1fi2fi|Ji|]N×|Ji|,

and

F~i=[f~i1f~i2f~i|Ji|]N×|Ji|,

where f~ij is the canonical dual frame of fij.

See also

References

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