Abstract
A review is given of the current adaptive filtering techniques for the active control of sound. In addition, the Generalized minimum Variance (GMV) control strategy is proposed as an important extension of the existing strategies. The adaptive filtering strategy is identified as a simplified realization of GMV control with feedforward. The limitations of the adaptive filtering strategies are discussed comparing this technique with original GMV strategies, which are shown to perform much better both in theory and in simulation experiments on measured time series. Finally. the issue of non-minimum phase processes is addressed. It is shown that the so-called method of weighted minimum variance is very attractive for use in active sound control systems
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