By a large number of experiments show that demand for the generalized correlation time delay estimation in theory and in practice totally feasible.
通过大量实验，证明广义相关求用于时间延迟估计在理论上和实践上完全可行的。
Generalized cross correlation is an important technical measure to solve time delay estimation problem. Time delay estimation variance can reach CRLB by using ML weighting.
广义相关是解决时延估计的重要技术措施，采用极大似然加权进行时延估计时方差可达到克拉美罗界。
To improve the time delay estimation accuracy, this paper introduces the re-weighting method with mother wavelets based on the generalized correlation method for estimation of time delay.
为了提高时延估计精度，在广义相关时延估计的基础上本文又提出了基于基小波的二次加权法。
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