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提出了一种基于常系数线性模型的自适应预测器算法 ,它具有二阶以上的高阶统计特性 ,非常适合非稳定随机信号.采用该算法对语音信号进行有效地模拟实验 ,由实验结果证明了理论的正确性“,”Adaptive linear predictors have been extensively used in speech processing and image processing in a wide variety of forms. We propose in this contribution a procedure for adaptive prediction. The approach is based on the constant modulus property. Some illustrative examples are also given.