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where T is a matrix with coef cients tij. This measurement may be inverted using the least-squares or least-gradient methods described in 8 to produce an estimate of Sn corresponding to spectrum samples spanning the range from Sn N to Sn 1 . Reconstructing the columns over the range from n 1 to n N produces one or more estimates of the spectral density samples over the range from S12N to SN21. As an example, Fig. 9.5 illustrates spectral reconstruction from experimental data in with a 48-element Hadamard S-matrix code. Motivations for selecting this code arise from the SNR issues discussed in Section 8.2.2 and in Refs. 114 and 243. The image in Fig. 9.5(a) shows the raw CCD data from the spectrometer. Curvature in the image arises from the nonlinearity of the grating equation [Eqn. (4.58)] with respect to angle. This curvature is corrected by an anamorphic transformation in Fig. 9.5(b). Least-gradient signal estimation using an upsampled calibrated measurement code is implemented on each column of the corrected image to produce the spectral estimates in Fig. 9.5(c). The spectral estimates in the ith row are shifted to the right by i to produce the aligned spectral data shown in Fig. 9.5(d). The columns of this matrix are averaged to produce the spectral density estimate shown in Fig. 9.5(e). These particular data correspond to the spectrum of a xenon discharge lamp. After processing, the independent column code spectrometer returns an estimate of Sn over the range discussed above. Sn is a discrete sample of a continuous function ltered by the system transfer function ^lr (u) t x Lu ^x Lu ^x Lu h p (9:21) h ^ F F F

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FIGURE 1-27

(1.130)

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Single-Row Marquee ( 8): Click with the Single-Row Marquee tool to select an entire horizontal row of pixels that stretches all the way across the image You also can drag with the tool to position the selection You rarely need the Single-Row Marquee, but when you do, here it is Single-Column Marquee ( 8): Same as the Single-Row Marquee, except the Single-Column Marquee tool selects an entire vertical column of pixels Again, not a particularly useful tool Lasso ( 8): Drag with the Lasso tool to select a free-form portion of the image You also can Alt-click (Win) or Option-click (Mac) with the Lasso to create a straight-sided selection outline Polygonal Lasso ( 8): Click hither and yon with this tool to draw a straight-sided selection outline (just like Alt-clicking or Option-clicking with the standard lasso) Each click sets a corner point in the selection.

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Eclipse Birt Barcode Component - J4L Components
The J4L Barcodes are integrated in Eclipse Birt 4.3 or later. The components support 1D barcodes, PDF417, Datamatrix , QRCode, Azteccode and Maxicode.

} // Try to parse the input string // ----------------------------// Make sure there aren t any spaces before or after $exercise = trim($exercise); // Convert to all lowercase for better string matching $exercise = strtolower($exercise); // Try to standardize on gerund form, if possible if (strpos($exercise, ing ) > 0) { // Already good $exercise_str = $exercise; } elseif ($exercise == bike || $exercise == cycle ) { $exercise_str = cycling ; } elseif ($exercise == run || $exercise == jog ) { $exercise_str = running ; } elseif ($exercise == soccer || $exercise == football ) { $exercise_str = soccer ; } elseif (strstr($exercise, weight ) || strstr($exercise, strength )) { $exercise_str = weight lifting ; }

This impedance-matching concept is an important issue in the design of high speed computer chips and motherboards. For today's high speed chips with internal clocks running at about 3 GHz and motherboards with a bus speed above 1 GHz, impedance matching is necessary in order to obtain the required speed for signal propagation. Although this high speed transmission line is based on a distributed circuit (discussed later in electrical engineering courses), the impedancematching technique for the transmission line is the same as that of the lumped parameter circuit for maximum average power transfer.

:= :=

case the first entry is always used)

. . . . . . . . . . . . . .

TABLE 12-2

When aligning and distributing groups, the layers in each group are treated as if they were merged together as a single layer, so they all move by the same amount. You can t align or distribute a group with a group that s nested inside it.

Magnetic Lasso ( 8): As you drag with the Magnetic Lasso tool, the selection outline automatically sticks to the edge of the foreground image Bear in mind, however, that Photoshop s idea of an edge may not jibe with yours Like any automated tool, the Magnetic Lasso sometimes works wonders, and other times it s more trouble than it s worth..