提出基于时间冗余的不可删显著误差处理方法。
An approach for estimation of undeletable measurements with gross errors(MGEs) is proposed based on temporal redundancy information.
最后探讨了它在模式识别和形状误差处理中的应用。
Its applications in pattern recognition and shape error evaluation are discussed.
文中重点讨论了产量图的绘制、产量数据的误差处理。
Painting of yield map, error data processing are mainly discussed in this paper.
应用推荐