On the implementation of adaptive filters with adjustable linear constraints

Linearly constrained systems are specified using a set of vector inner products with the filter weights in which each of the M inner products is constrained to equal a scalar value. The constraint vectors are presumed known and fixed while adaptation takes place on the M constraint scalars. The filter structure simultaneously adapts to minimize output power while maintaining the adjustable linear constraints.<
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