Digital Signal Processing Reference
In-Depth Information
2.8.3 The role of linear dependence as spuriousness in de-
termining K within the state space-based perspective
of signal processing
The investigated FID from its geometric progression c n =
K
k=1 d k z k can also
be viewed from a state spacebased perspective in signal processing. This can
be done by introducing a K−dimensional linear vector spaceKwith the sym
metric inner product (2.3) and a basis{Υ k
}(1≤k≤K) which is a complete
set of the solutions of the stationary Schrodinger equation (2.6). The cor
responding nonstationary solution|Φ(t)) of the timedependent Schrodinger
equation (2.1) is given by (2.4). Its discretized version is|Φ n ) = U n 0 ) where
U is the time evolution operator U≡U(τ) = exp (−i ˆ τ). Here, the continu
ous time variable t is discretized via t = nτ (0≤n≤N−1), where τ is the
sampling rate. The two equivalent representations Φ and Υ can be related to
each other. This is done by using the spectral decomposition (2.16) of the time
evolution operator in Φ n to arrive at the expansion Φ n =
K
k=1 d 1/2
u k
k ),
where u k = exp (−iω k τ) and d k is the amplitude/residue from (2.19), i.e.,
d k = (Φ 0 k ) 2 . To cohere with the notation from the other subsections in
this section, we shall switch from the u−to the z−variable, in which case Φ n
will be replaced by Φ n where|Φ n ) = exp (in ˆ τ)|Φ 0 ) and
k
K
d 1/2
k
Φ n =
z k
d k = (Φ 0
k ) 2 .
k )
(2.215)
k=1
This K−dimensional state vector Φ n is defined through its K components or
“coordinates”
Φ 0 ={d 1/2
,d 1/2
2
,d 1/2
3
,,d 1/2
K
}
1
Φ 1 ={d 1/2
z 1 ,d 1/2
z 2 ,d 1/2
z 3 ,,d 1/ K z K
}
1
2
3
Φ 2 ={d 1/ 1 z 1 ,d 1/ 2 z 2 ,d 1/ 3 z 3
,d 1/2
K z 2 K
}
.
Φ n ={d 1/2
z 1 ,d 1/2
z 2 ,d 1/2
z 3 ,,d 1/ K z K
}.
(2.216)
1
2
3
} k=1
In other words, since{Υ k
is a basis in the spaceK, any function from
this space including Φ n
∈Kcan be expanded in terms of the elements Υ k
such that the k th component/coordinate of Φ n
is d 1/2
k
u k
as in (2.215), or
equivalently
Φ n = d 1/ 1 z 1 Υ 1 + d 1/ 2 z 2 Υ 2 + d 1/ 3 z 3 Υ 3 ++ d 1/2
K z K Υ K . (2.217)
Taking the scalar product between|Φ n ) and (Φ m
n ), setting the
normalization of Υ k to unity through||Υ k ||≡1 and using the orthogonaliza
tion (Υ k k ) = δ k,k , it follows from (2.216) and (2.217)
|via (Φ m
K
S n,m ≡(Φ m
n ) =
d k z n+m
.
(2.218)
k
k=1
 
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