• least p-norm - 引用次数：5

  This dissertation discusses a new adaptive generalized recursive least p-norm Kalman filtering algorithm based on innovation process with infinite variances and improves and analyzes its robustness and performances.

  讨论了基于新息过程最小p范数准则的递归Kalman(LP-Kalman)滤波算法,并分析了它与递归最小p范数(RLP)滤波算法的关系,进行了算法的韧性改进与渐近特性分析。

  参考来源 - 基于稳定分布白噪声的信号处理新方法研究

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