采用智能滤波线技术，有利于计算机识别较强干扰下声波波形周期，并计算时间延迟。
The use of intelligent filter wave line technology is available to discern the sound wave period and to calculate the delay time under the strong disturbance.
该方法将主惯导数据测量延迟时间扩展为卡尔曼滤波器的一个状态变量，并同时考虑了测量延迟时间对速度和姿态测量量的影响。
The method augments the measurement delay as a state of conventional Kalman filter as a state, and impacts on both velocity and attitude measurements owing to the time delay are also considered.
基于混沌动力系统相空间的延迟坐标重构和双线性表达式，设计了预测混沌时间序列的双线性自适应预测滤波器。
Based on the delay-coordinate reconstruction and bilinear expressions in the phase space of a chaotic system, a bilinear adaptive filter was designed to predict low-dimensional chaotic time series.
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