Digital Signal Processing Reference
In-Depth Information
In step 2, MAPES-CM uses the standard APES algorithm, which can
be efficiently implemented [34, 35] as discussed in Section 2.6. As for the
MAPES-EM spectral estimators ˆ
α
ω
2 ) and ˆ
α
ω
2 ), they have the
same structure as the APES estimator in (6.10), but with two differences.
The first one is using the conditional mean ( b l 1 , l 2 or b )ofthe missing
samples as their estimates. The second one is the additional terms ( Γ l 1 , l 2 and
Γ l 1 , l 2 ) that involve the covariance matrices ( K l 1 , l 2 and K )ofthe missing data
in the S and S matrices. Because MAPES-EM uses different estimates for
the missing data at different frequencies, those techniques used to efficiently
implement APES cannot be applied here (see Section 2.6). As a result, no
efficient algorithms are available to calculate the corresponding spectral
estimate.
1 (
2 (
1
1
In summary, the MAPES-CM algorithm possesses a computational com-
plexity that is much lower than that of MAPES-EM.
6.6 NUMERICAL EXAMPLES
In this section, we present three numerical examples to illustrate the performance of
the MAPES algorithms for the 2-D missing-data spectral estimation problem. We
compare the MAPES algorithms with the WFFT and the GAPES [3]. A Taylor
window with order 5 and sidelobe level
35 dB is used to obtain the WFFT spectral
estimates. All the 2-D spectra are plotted with a dynamic range of 35 dB.
As in the 1-D case, we simply let the initial estimate of
2 )begiven
by the WFFT with the missing data samples set to zero. The initial estimate
of Q (
α
(
ω
1
2 ) follows from the 2-D counterpart of (4.8), where again, the miss-
ing data samples are set to zero. For the initialization of GAPES, we consider
two cases. If the data missing pattern is arbitrary and no initial filter with a
proper size can be chosen, we use the same initial estimates of
ω
1
α
(
ω
2 ) and
1
Q (
2 ) follows from
(3.29), where the missing samples are set to zero. If the data is gapped, as in examples
ω
2 )asfor MAPES, and the initial estimate of H (
ω
1
1
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