We further propose a possible fast hybrid fractal encoding algorithm which combines existing fast search methods, statistical normalization and frequency domain comparison.

接着进一步提出一种可能的快速混合分形编码的算法，该算法将快速搜索方法、统计规范化、频域比较结合起来。

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The comparison among various methods of parameter estimation shows that the least-squares fitting method in the time domain is more accurate one.

各种参数估值方法的比较表明，时间域最小二乘拟合法较为精确。

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Comparison with the spatial processing method using fractional lower order statistics, the proposed algorithm provides more precise DOA estimates by using the ambiguity domain information of signals.

与基于分数低阶统计量的空域处理方法相比，该文提出的算法利用了信号在模糊域中的信息，提高了算法的估计精度。

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