Theoretical analysis and simulation results show that the proposed method can effectively reduce the computational complexity without loss of PAPR reduction performance.

理论分析和仿真结果表明新算法能够有效降低传统算法的计算复杂度，且不会造成峰均比抑制性能的损失。

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Finally, the computational procedures and simulation analysis of extended Kalman filtering algorithm, unscented Kalman filtering algorithm and particle filtering algorithm is presented.

最后，给出了扩展卡尔曼滤波算法、无迹卡尔曼滤波算法和粒子滤波算法的推导过程和仿真分析。

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