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, in Raleigh in 1997, with an idea to link old and new technologies, much as he had done with cultures all of his life The inspiration came not from the business world but from his two sons The Internet had entered the Wadhwa household the year before, captivating Vineet, then 15, and Tarun, then 11 Dad watched in dismay as the boys created web sites, downloaded graphics, and made friends all over the world Intrigued, he began to navigate the.

Comments are there to present information, and you need to know how to read and display comments. Here are additional key actions you ll perform with comments:

In 3D, H1-functions can have singularities both at isolated points and along onedimensional curves. To illustrate the point-singularities, we can consider the function 0 ) r (A.90) in B(O,R ) c R3, < R < 1/e, with ~ ( z= dx; . : 2:. A linesingularity is obtained by adjusting the function (A.90) to

the coded and uncoded performance. However the gains achieved at a BER of 0.01% was higher than those achieved at a BER of l%, as evidenced by Figure 5.5. This observation is important in the contextof turbo block codedAQAM scheme, which will be presentedin the next section.

You can rotate a face when a solid is complex enough to have at least two separate elements for example, a box with a hole in it. The prompts for rotating are very similar to those for ROTATE3D, covered earlier in this chapter; you can select a sub-object and use that command, or the Rotate gizmo. To rotate a face by using SOLIDEDIT, choose Home tab Solid Editing panel Faces drop-down list Rotate Faces. Select the face or faces that you want to rotate, using the selection method(s) described earlier. Follow the prompts, which are similar to those of the 3DROTATE command. Press Enter twice to exit the command. If you choose a face that cannot be rotated, or if there isn t room on the solid for the rotation, AutoCAD lets you know with the message Modeling Operation Error on the command line. Note that you can also subselect the face and rotate it by using grip-editing.

After a relationship is created between tables, the join line remains between the two elds. As you move through a table selecting elds, the line moves relative to the linked elds. For example, if you scroll downward, toward the bottom of the window in tblCustomers, the join line moves upward with the customer number, eventually stopping at the top of the Table window. n

F(y,X(z)) X(z)

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Drag the direction points with the Direct Selection tool to reshape both curves at a smooth point (left) and one curve at a cusp point (middle). You can also reshape a curve by dragging the curve itself (right).

where e(k) = x(k) H(k)s(k) and x(k) = x(k) + (k). A functional block diagram illustrating the implementation of the algorithm using Amari-Hop eld neural network is shown in Fig. 8.5. 8.6.2.1 Regularization For some systems, the mixing matrix H may be highly ill-conditioned, and in order to estimate reliable and stable solutions, it is necessary to apply optional prewhitening (e.g., PCA) and/or regularization methods. For ill-conditioned cases, we can use the contrast function with a regularization term L y p, J (e) = (x Hy) + (8.94) p p where e = x Hy, > 0 is a regularization constant chosen to control the size of the solution and L is a regularization matrix that de nes a (semi)norm of the solution. Typically, matrix

n = 12 20

If you click just to the right of the navigation path, a text box appears and you can manually type in a filesystem path. This can be much faster than navigating by clicking folder icons if you know the name of the path that you want to select. n

The single, all-encompassing problem of thermodynamics is the determinaf tion of the equilibrium state that eventually results afier the removal o intern1 constraints in a closed, composite system. [p. 261

We initiate our presentation with an intuitive explanation for what the variance of a random variable means. The explanation will help the reader appreciate the value of the least-mean-squares criterion, which is used extensively in later chapters. Consider a scalar real-valued random variable x with mean value 2 and variance 02. i.e.,