In the case of large density difference, there is a velocity separation between different media, making the measurement more difficult, cross-correlation method is still usable.
在密度差别较大时，存在着不同介质间的速度分离，给相关法测量带来困难。
For that, this thesis combines short-time zero-crossing rate, the short-term energy method and frame cross-correlation method to cut the voice data. A series experiments were done afterwards.
为此本文采用了短时过零率与短时能量相结合以及相连帧互相关的方法对语音进行切割并且做了一系列的实验。
This thesis presents the theory on the generalized cross-correlation method and its detailed derivation mathematically. Five generalizations of the cross-correlation function are listed and discussed.
阐述了广义互相关时延估计算法的原理并对其作了详细的数学推导，研究各种加权函数的形式以及性能特点。
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