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Orthogonal polynomial-based nonlinear adaptive filters

For certain types of signals, such as white Gaussian signals, the Volterra series can be fully represented by orthogonal polynomials. With an orthogonal polynomial representation, all the nonlinear terms become statistically orthogonal with respect to each other. This allows less computationally complex adaptive algorithms to be developed for adaptive Volterra filters based on the orthogonal polynomial structure.