该方法不涉及运动估计，具有较低的计算负荷和时间延迟，所产生的视频流是完全嵌入的。
The method does not involve motion estimation, and has lower computational complexity and coding latency, and can make full-embedded video streams.
当采用相关法估计时间延迟时，多径时延的分辨率受到相关函数主(？)宽度的限制。
Multipath time delay estimation is constrained by the width of the signal correlation function when using correlation method.
研究了基于相位谱的时间延迟估计原理及其算法。
A time delay estimation algorithm and theory based on phase function were studied.
时间延迟估计是国际信号处理领域的一个十分活跃的研究课题，具有重要的理论意义和应用价值。
Time delay estimation is a very active researching topic with important academic meaning and applying value in the international signal processing field.
高阶谱估计方法是用于色噪声背景下时间延迟估计的一个十分有效的方法。
The estimation methods for higher order spectral are efficient in estimating time delay in colored noise.
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。
By a large number of experiments show that demand for the generalized correlation time delay estimation in theory and in practice totally feasible.
基于时域混叠信号的特点，提出了一种时间延迟估计的新方法。
Based on the characters of overlapped echoes, a new method for time delay estimation is presented.
根据分数低阶统计量理论，本研究提出一种基于最小平均p范数盲信道辨识的韧性时间延迟估计算法（BCILMP），对胃电信号传导速率进行估计。
Robust time delay estimation method based on least mean p-norm blind channel identification(BCILMP) was proposed and applied to estimate the propagation velocities of GEA.
论文分析了基于语音激励信息的时间延迟算法分类，描述了基于EGCI的时延估计方法基本原理。
This paper analyzes the new type of method for localizing the source using the excitation information in speech, and presents the theory of time-delay estimation based on the EGCI.
本文提出了一种HB加权的自适应时间延迟估计方法。
This paper proposes an HB weighted adaptive time delay estimator.
时间延迟估计可以分为单径时延估计和多径时延估计，而多径时延估计是时延估计问题中特别困难但又在实际问题中总是要解决的；
TDE problems can be divided into TDEs of single path environment and multipath environment, while the later has practical application background and is a difficult one in TDE problems.
时间延迟估计可以分为单径时延估计和多径时延估计，而多径时延估计是时延估计问题中特别困难但又在实际问题中总是要解决的；
TDE problems can be divided into TDEs of single path environment and multipath environment, while the later has practical application background and is a difficult one in TDE problems.
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