The proposed approach enables parallel execution of conventional lza and its error detection , so that the error - indication signal can be generated earlier in the stage of normalization , thus reducing the critical path and improving overall performance . the circuit implementation of this algorithm also shows its advantages of area and power compared with other previous work 本文提出了一种新型的基于错误纠正机制的前导0预测算法,该算法在传统非精确算法的基础上增加了对其结果出错时的预判机制和规格化过程中的实时纠正机制,从而实现了尾数和规格化时的精确移位,降低了浮点加减运算的关键路径延迟。