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The number of time delay units M in the separating/deconvolutive model should be usually much larger than the corresponding number L in the mixing model (M >> L). Alternatively, a multistage linear model for noise cancellation is shown in Fig. 8.3 (a). In such a model, the noise cancellation and source separation are performed sequentially in two or more stages. We rst attempt to cancel the noise contained in the mixtures and then to separate the sources (see Fig. 8.3 (a)). In order to cancel additive noise and to develop an adaptive learning algorithm for unknown coe cients hip (k), we can apply the concept of minimization of the generalized output energy of output signals x(k) = [ 1 (k), x2 (k), . . . , xn (k)]T . In other words, we can formulate the following cost function x (generalized energy)



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Go back to the Gargoyle.tif practice le and pick up where you left off in Step 7 of the previous steps. Open the Black and White command again. Select the Tint option at the bottom of the dialog box, shown in Figure 11.9. When you do, the Hue value is set to 42

Independem and dependent voltage and current sources can also be rep resented by their transfonns; th at is, 14. 14 V,(s) = e [v,(t) ]





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How valid are the Independence assumptions The independence assumptions (2223)(actually, the more detailed assumptions (i)-(vi) of Sec 164) have been applied to the study of LMS since the late 1960's Although unrealistic for tapped-delay-line implementations, they tend to give good results that match real filter performance for small step-sizes Several studies in the literature have struggled with this observation in an attempt to explain it In App 24A we describe some of these results Basically, it is shown in the appendix that if p M 0, the conclusions that are obtained using the independence assumptions are good approximations for the real performance of LMS One of the earliest results in this regard is that of Mazo (1979), which established Thm 242 The arguments in this reference assume that the regression data are generated by feeding a binary ii d .

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Within the business community, as de nitions and data mature, the status of scorecards needs to be promoted and scorecards established as a feature of discussions on baseline IT performance both between CIO and CEO, and local IT heads and their respective general managers. Actively Market IT Performance (Step 7): Until now in the process, scorecards have only been circulated within the IT management community, but keeping scorecards secret makes execution dif cult and misses an excellent opportunity of widely communicating basic performance objectives. Perhaps sensitive nancial data that cannot be allowed into competitors hands can be protected, but, in general, scorecard status should be actively published in all internal media, and in particular the company intranet. Experience shows that the use of traf c light red amber green highlighting of scorecard values can be particularly effective in helping the general community quickly appreciate the essentials of IT progress. This acknowledgement of weaknesses nds acceptance with the business community, and publication draws public attention to IT successes that are otherwise easily forgotten. The latter can be reinforced, for example, by loudly rewarding best performers with prizes and prominent interviews in internal newspapers. Overall, balanced scorecards for IT can be a very effective tool for establishing transparent IT performance management that not only focuses on cost. Like a best practice project management methodology, on their own, scorecards remain a ritual. To reap tangible bene ts from the signi cant amount of effort invested, real commitment and organizational momentum must be brought to bear behind scorecards.

Remark 10.1 We may choose the diagonal terms Faa arbitrarily. In order to arrange ya 2 2 2 in the same scale, we may choose Faa = ya 1. Then, a = E{ya } = 1 holds. The stability conditions are: i j > i j , i > 0, where i = E{ i (yi ) yi }.

an important topic in numerical mathematics. Many numerical procedures have been developed for this purpose, all with specific strengths and weaknesses. Below, we will present one such method in a concise way, thereby focusing on the computation The basic idea with Runge-Kutta

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