The noise phenomena could reduce the signal quality and the elimination of these phenomena becomes more necessary to suppress and enhance receiver signal quality in many applications. The noise cancellation has high consideration and recognize as a very important technique to eliminate the noise associated with original signal.
Papers:
Prasetyowati S.A, Susanto A. Multiple Processes for Least Mean Square Adaptive Algorithm on Roadway Noise Cancelling. International Journal of Electrical and Computer Engineering (IJECE), 5(2): 355, 2015
Das, Aritra, et al. "An Improved Energy Detector for Spectrum Sensing in Cognitive Radio System with Adaptive Noise Cancellation and Adaptive Threshold," Computational Advancement in Communication Circuits and Systems, vol. 335, pp. 113-119, 2015.
Some of the standard performance metrics include the Signal to
reconstruction ratio (SRER), Root square
error (RMSE), Pulse amplitude distortion
(PAD), Standard deviation (STD), and
mean absolute error (MAE).
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