Read e-book online Adaptive Signal Processing: Theory and Applications PDF

By Thomas S. Alexander

ISBN-10: 1461249783

ISBN-13: 9781461249788

ISBN-10: 1461293820

ISBN-13: 9781461293828

The production of the textual content rather all started in 1976 with the writer being concerned with a gaggle of researchers at Stanford college and the Naval Ocean platforms middle, San Diego. at the moment, adaptive innovations have been extra laboratory (and psychological) curiosities than the approved and pervasive different types of sign processing that they have got develop into. Over the lasl 10 years, adaptive filters became typical elements in telephony, info communications, and sign detection and monitoring structures. Their use and customer recognition will definitely merely elevate sooner or later. The mathematical ideas underlying adaptive sign processing have been at first attention-grabbing and have been my first event in seeing utilized arithmetic paintings for a paycheck. considering that point, the appliance of much more complex mathematical suggestions have saved the realm of adaptive sign processing as interesting as these preliminary days. The textual content seeks to be a bridge among the open literature within the expert journals, that is frequently relatively focused, concise, and complex, and the graduate school room and examine atmosphere the place underlying rules are frequently extra important.

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5 Further Geometrical Properties of the Error Surfaces [2, 3, 5]. 6, there is symmetry to the error contour about the point W/o' = wt, and exploiting this symmetry will greatly simplify the analytical procedure of solving for the required locus. 6(b). 3) defines the translated filter coefficients as the difference between a set of general filter coefficients wN and the optimal coefficients wt. 2), there is an additional property that may be exploited to simplify the analysis even more. 6(b), it is seen that the MSE contours have a set of principal axes, which, in general, are not aligned with the vN coordinate axes.

One application of Durbin's algorithm might indeed be the computation of the optimum transversal filter coefficients. However, a set of alternative parameters called the reflection coefficients result as a natural consequence of Durbin's algorithm. These reflection coefficients may be used in an alternative linear prediction filter structure known as the lattice, which, in some applications, has distinct advantages over the transversal form. Moreover, the reflection coefficients provide a very convenient parameterization of many naturally produced information signals, such as speech [8], electromagnetic signals [14], and seismic signals for geophysical exploration [IS].

Perhaps the greatest utility of the method of steepest descent is in the prediction of stochastic time series. A classical work in this area is the original paper by Robbins and Munro [5]; which addresses stochastic approximation. Many of the gain-normalized adaptive signal processing algorithms may be considered as variants of the Robbins~ Munro method. Another tutorial work concerning gradient-based methods is that by Sakrison [6). Much of the analytical work done in gradient based adaptive filtering (such as the LMS algorithm) also contains analyses of the method of steepest descent for comparison purposes.

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Adaptive Signal Processing: Theory and Applications by Thomas S. Alexander

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