Conclusions and Software - Spectral Analysis of Signals: The Missing Data Case - page 89

worse performance. Hence MAPES-CM may be used for long 1-D
data sequences or 2-D data matrices. MAPES-EM1 or its faster version,
MAPES-EM2, may be used when computation is not a serious concern.

7.2 ONLINE SOF TWARE
Several Matlab codes of the algorithms discussed within this topic can be down-
loaded from ftp://www.sal.ufl.edu/ywang. Here is a list of the available codes:

1. MAPES1D EM1.m This function implements 1-D

MAPES-EM1.

2. MAPES1D EM2.m This function implements 1-D

MAPES-EM2.

3. MAPES2D CM.m This function implements 2-D

MAPES-CM.

4. MAPES2D EM1.m This function implements 2-D

MAPES-EM1.

5. MAPES2D EM2.m This function implements 2-D

MAPES-EM2.

6. GAPES1 GappedData.m This function implements 1-D GAPES

for gapped-data spectral analysis.

7. GAPES1D MissingData.m This function implements 1-D GAPES

for arbitrarily missed-data spectral
analysis.

8. GAPES2D GappedData This is a directory that contains 2-D

GAPES software for gapped-data spectral
analysis.

9. GAPES2D GappedData.m This is an example that demonstrates how

to use 2-D GAPES for gapped data
spectral analysis.