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Late binding means that the compiler does not know the type at runtime, and it is forced to convert the data in order to use it There is a performance penalty when this occurs Reference types versus Value types In NET, there are two variations of types: reference and value What matters when you are developing is whether the data you are working on is in its own memory space, or if it is simply a pointer or reference to another area of memory holding the value of the data Table 5-3 defines the rules for value and reference types Table 5-3: Reference Types and Value Types Value Types Numeric, Boolean, Char and Date data types Structures Enumerations Reference Types String data type Arrays Classes.

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1. Open the Parasolid file from the CD-ROM called 26 Bonita Tutorial.x_t. 2. Using the Selection Filter set to filter Face selection (the default hotkey for this is X), select all of the faces of the leg. You can use window selection techniques to avoid clicking each face. 3. Click the Delete Face button on the Surfaces toolbar, or access the command through the menus at Insert Face Delete. Make sure that the Delete and Patch option is selected. The selected faces and the Delete Face PropertyManager should look like Figure 26.26. Click OK to accept the feature. 4. Repeat the process for a second leg, leaving the third leg to be separated from the rest of the part and patterned. 5. After the two legs have been removed, click the outer main spherical surface, and then from the menus, select Insert Surface Offset. Set the offset distance to zero. Notice that a Surface Bodies folder is now added to the tree, near the top.

Like most other Windows applications, SolidWorks can arrange the open document windows in one of several ways that are available through the Window menu (see Figure 2.34): n Cascade. Most useful for accessing documents that are to be edited one by one.

In this setup, the encoder predictor duplicates the closed-loop structure of the decoder, hence its name Quantization noise Q(z) is modeled with a white spectrum According to Eq (1519), openloop prediction results in an overall coding distortion X (d) (z) X(z) with a spectrum shaped like the speech model spectrum 1/A(z) which reduces the audibility of this noise due to the masking properties of human hearing However, ltering of the noise by 1/A(z) also results in an overall gain that makes the total noise power identical to that observed in direct quantization of the speech waveform without using prediction Closed-loop prediction keeps a white noise spectrum without noise ampli cation according to Eq (1523) However, as quantization noise is not shaped like the speech spectrum, it may become audible in the spectral valleys of the latter.

sd rootdiskPriv ENA v cache ROUND pl cache-01 RW sd rootdisk-03 ENA v rootvol ROUND pl rootvol-01 RW sd rootdisk-B0 ENA sd rootdisk-02 ENA v swapvol ROUND pl swapvol-01 RW sd rootdisk-01 ENA cache cache-01

A compromise between these two extremal positions is found in the use of a perceptual noise-shaping lter [Schroeder et al 1979] To this end, quantization noise is observed as the difference between quantizer output (q) and input, qn = en en , and a ltered version of this noise is fed back to the input of the quantizer E(z) E(z) + (W (z) 1)Q(z) (where the zero-delay gain is w0 = 1) Thereby, the open-loop prediction system results in a decoder output equal to X (d) (z) = X(z) + W (z) Q(z) If A(z) we choose the weighting lter W (z) = A(z/ ), with 0 < 1, we can control the spectral shape of the decoder distortion to be anywhere between a white spectrum ( = 1) and the speech model spectrum ( = 0).

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The package name The installed version of the package The version currently available in the repository A brief description of the package

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