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Title:   Author  item
                                            Pelletier, Mathewitem
                                            UPADHYAYA, S - UNIV OF CALIFORNIA-DAVIS
  Submitted to: ASAE Annual International Meeting
                                    Publication Type: Proceedings
                                    Publication Acceptance Date: 1/15/2001
                                    Publication  Date: 4/28/2001
                                    Citation: Pelletier, M.G., Upadhyaya, S.K. Adaptive signal processing for removal of impulse noise from yield monitor signals. Journal of Cotton Sciences. 2001. v. 5. p. 224-233.Interpretive Summary: The objective of this study was to develop a method for improving load/yield monitor signals that are corrupted by the act of driving the harvester through the field over bumpy terrain. The non-uniform terrain creates undesirable artifacts to the measured yield signal. Through the use of advanced adaptive noise cancellation techniques these noise artifacts  can be removed from the true yield signal. The cancellation of the noise components in the yield monitoring signals will allow for the use of yield monitors in small research plots that are common in agronomic field trials. The system demonstrated the ability of adaptive signal processing techniques to reduce impulse noise for use in yield monitoring.
                                Technical Abstract: The objective of this study was to develop a method for load/yield monitor corrections for impulse noise that happens whenever a harvester drives over a hole, ditch, or large rocks. The system demonstrated the ability of adaptive signal processing techniques to reduce impulse noise for use in yield monitoring. The system was mathematically modeled and then simulated  using the Mathworks Matlab Analytical Analysis model to produce the test results.


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