Interference cancellation system based on the LMS algorithm

Interference cancellation, which is concerned with the removal of such extraneous information as periodic interference signals superposed on audio frequency signals, is addressed. Low-frequency (audio range) processed signals often suffer from disturbance by interference. The quality of these signals would be greatly improved if this interference, for example, clock hum-interference, could be removed from the signal. Adaptive filtering techniques which are able to lock-in on the frequency of the interference and to track its changes are required. In order to achieve this, a reference signal should be available which is strongly correlated with the interference only. To this purpose, the least-mean-square (LMS) algorithm implemented according to White (1975) and Feintuch (1976) is considered