Abstract: A method of integrating multiple sampling interval image data with timing information from a defect once-around sensor and the machine page sync signals to estimate a banding profile. By augmenting the sampling interval data with the timing data, proper phasing of each frequency over each sampling interval can be maintained. Specifically, when the data over the multiple intervals is taken, the defect source once-around signal and the page sync signals are also recorded. The combination of this information allows the algorithm to extract phase and amplitude information of banding defects from the sampling intervals using a new matched-filter based parameter estimation algorithm. Estimated banding profiles are then generated from the known frequencies, and the estimated amplitude and phase values.

Abstract: A method of correcting periodic banding defects in a printing system is provided. The method comprises: determining a banding profile estimate; determining a compensation profile; adjusting the compensation profile based on the transfer function of a motion system and the transfer function of a printing system; waiting until a defect once-around signal returns; and applying the output of the adjustment step to a controller controlling the speed of an imaging surface.

Abstract: A method of correcting periodic banding defects in a printing system is provided. The method comprises: determining a banding profile estimate; determining a compensation profile; adjusting the compensation profile based on the transfer function of a motion system and the transfer function of a printing system; waiting until a defect once-around signal returns; and applying the output of the adjustment step to a controller controlling the speed of an imaging surface.

Abstract: A method of integrating multiple sampling interval image data with timing information from a defect once-around sensor and the machine page sync signals to estimate a banding profile. By augmenting the sampling interval data with the timing data, proper phasing of each frequency over each sampling interval can be maintained. Specifically, when the data over the multiple intervals is taken, the defect source once-around signal and the page sync signals are also recorded. The combination of this information allows the algorithm to extract phase and amplitude information of banding defects from the sampling intervals using a new matched-filter based parameter estimation algorithm. Estimated banding profiles are then generated from the known frequencies, and the estimated amplitude and phase values.