| 摘要 |
A method of updating the coefficients of an adaptive filter, where the filter utilizes a polarity-coincidence correlator (PCC) as part of an iterative update equation. The expression for the standard PCC correlator is modified to correct for its inherent distortion by operating on the update term with a factor of the form of sin [ pi /2 (f)], where f represents the PCC correlator. This produces an update equation and correlator which behaves like the well known least mean square (LMS) update algorithm in many respects, but is simpler and more cost-effective to implement in many situations. Architectures for both a direct form and transpose form implementation of the present invention are also disclosed. An adaptive filter based on the present invention will exhibit a very robust convergence behavior, although it will be slower than that of a standard LMS based filter. In addition, the steady state noise of the filter can be made to approach the theoretical minimum.
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