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Figures 18.2 and 18.3 show the values of the steady-state MSE of a 5-tap sign-error LMS filter for different choices of the step-size and for different signal conditions. The theoretical values are obtained by using the expression from Lemma 18.1. For each step-size, the experimental value is obtained by running the algorithm for 5 x lo5 iterations and averaging the squared-error curve over 100 experiments in order to generate the ensembleaverage curve. The average of the last 10000 entries of the ensemble-average curve is used as the experimental value for the MSE. The data { d ( i ) ,ui} are generated according to model (15.16) using Gaussian noise with variance c = 0.001. : Figure 18.2 illustrates the situation where the regressors do not have shift structure and they are generated from a Gaussian distribution with a covariance matrix R, whose eigenvalue spread is p = 5. In Fig. 18.3, the regressors have shift structure and they are obtained for the top plot by feeding the filter with correlated data obtained by passing a unit-variance i.i.d. Gaussian random process through a first-order auto-regressive model with transfer function d m / ( l- a z - l ) and a = 0.8. For the bottom plot of Fig. 18.3, the input data is white with unit variance.

See $7.3-d of Hirschfelder, Curtis & Bird, Molecular Theory of tiases and Liquids (Wiley, 1954). Except for normalization, these Sonine polynomials are the same as the associated Lagueme polynomials.

2. In a new or existing Premiere project, choose File Import. In the Import dialog box, locate the Photoshop file with the two layers (the skier and the text). Then click Open. When the Layer Selection dialog box appears, as shown in Figure 22-15, click the pop-up menu and choose Background Layer to import just the background layer without any other layer. Click OK to have Premiere store the file in the Project window.

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defect that, if caught in time, can be adjusted in the internal process loop, so that the defect is caught and prevented in time. Now given these observations about customer service shortcomings, how do we apply these principles to our internal customer, the other departments and people we deal with every day Perhaps a more appropriate question is: Do we give the internal customer the same level of importance and the same priority as we give to the end-user, external customer Is the idea of the internal customer just a quality program theme, a way to try to get people to think in terms of service excellence Or in fact, does the application of this idea mean a radical change in the way internal departments and people deal with one another The experiences of Motorola, GE, and other companies that pioneered the Six Sigma idea and molded it into an effective tool for changing the corporate culture, will insist that the Six Sigma approach works because it puts concepts into action and helps everyone within the company to see customers everywhere they look. They may not use the precise terminology of internal customer to describe the change in attitude, but it is a change by whatever name we call these relationships.

I tried my best to compile programs that work on most computers with the minimum system requirements. Alas, your computer could be somewhat different, and some programs might not work properly for some reason. The two most likely culprits are that you don t have enough memory (RAM) for the programs you want to use or that you have other programs running that affect the installation or running of a program. If you get error messages such as Not Enough Memory or Setup Cannot Continue, try one or more of the following procedures and then try using the software again:

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In this case, my activity of sending a grant proposal depends upon your activity of signing it off - I cannot carry out my activity until yours is completed. In other words, my activity depends upon yours.

where qi (yi ) are approximate (typically parametric) models of the pdf of source signals {si }. The gradient / W represents the steepest decreasing direction of function when the parameter space is Euclidean. In the present case, the parameter space consists of all the nonsingular n n matrices W. This is a multiplicative group where the identity matrix In is the unit. Moreover, it is a manifold so that it forms a Lie group. Amari et al. [33, 28, 29, 34] exploited this fact to introduce a natural Riemannian metric to the space of W. They showed that the true steepest descent direction in the Riemannian space of parameters W is not / W but (y; W) T W W = I f (y) yT W. W (6.18)

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