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1. Choose Start, Programs, Microsoft SQL Server 7.0, Query Analyzer to open the Connect to SQL server dialog box. Figure 10.19 displays the Connect to SQL server dialog box. 2. From the list of servers, select the SQL server and specify the login ID and the password in the respective text boxes. 3. Click OK to open the Query window in SQL Query Analyzer. Figure 10.20 displays SQL Query Analyzer with the Query window. 4. Click the Show Results pane button to display the Results pane. Figure 10.21 displays the Show Results pane button. 5. In the Query window, type the following SQL command:

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4. De ne a new input image f 0 m; n such that (a) Outside R, f 0 m; n equals h m; n . (b) Inside R, f 0 m; n has the amplitude of the original image f m; n and the phase of h m; n . 5. Letting f m; n f 0 m; n , go to step 1. 6. Repeat steps 1 5 until the MSE converges or speci ed conditions are met. 16.4 ITERATIVE INTERLACING TECHNIQUE (IIT)

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The main point is that when the process is Gaussian, the integrals that appear in (9.5) and (9.6) can be computed using the MAGP toolbox. All details are given on the Web page of Mercadier (2005). The program is able to perform such calculations for n up to 100. The precision of the computations of MAGP has been evaluated by Mercadier in two ways: 1. Comparing the lower bounds (9.6) with the exact theoretical value for the sine cosine process [i.e., the centered Gaussian process with covariance (t) = cos t] given by Berman (1971b) and Delmas (2003b) (see Exercise 4.1). 2. Comparing lower and upper bounds with results in other chapters of the book. For example, Figure 9.1 compares the lower and upper bounds of this chapter with the lower and upper bounds given by two or three terms in the Rice series for the centered stationary process with covariance t 2 /2 (see 5). 1 (t) = e From these comparisons it appears that one can trust the result from MAGP up to 10 3 . Another question is the precision of the estimation, which can be measured by the difference between (9.5) and (9.6). We will consider that the estimation given by (9.5) and (9.6) is numerically signi cant if it corresponds to an absolute

Looking rst at wavenumbers greater than 1500 cm 1 , there are bands at 1520, 1610 and 3480 cm 1 and aliphatic and aromatic C H stretching bands near 3000 cm 1 . The sharp band at the highest wavenumber cannot be due to O H stretching as the sample is a liquid lm and the O H stretching band would be expected to be a broad band due to hydrogen bonding, as well as the fact that the known empirical formula does not contain oxygen. Thus, the band at 3480 cm 1 is due to N H stretching and the compound is an amine. The multiplicity of the band implies that the compound is a secondary amine. The band at 1610 cm 1 could be due to N H bending, but is more likely to be due to benzene ring vibrations, or both. The band at 1520 cm 1 is due to an aliphatic bending band, con rmed by a doublet below 3000 cm 1 . The spectrum below 1500 cm 1 supports the idea of a monosubstituted benzene ring. Thus, the spectrum supports the fact that the compound is N -methylaniline (C6 H5 NH CH3 ).

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