For the problem of passive location under low detection probability, a multi-sensor fusion tracking algorithm based on sliding window batch technique is presented.
针对低检测概率下的无源定位问题，提出一种基于滑窗批处理的多传感器融合跟踪算法。
In the same time, a sliding pitch analysis window method is used, so it can reduce the pitch detection error in non-stationary speech segments with irregular pitch.
同时又采用了滑动窗的方法，使得对基音周期不规则的不平稳的语音段进行基音周期估计时的误差减小。
Taking the sliding window processing, the maneuver detection algorithm is real-time without any time delay.
同时通过采用逐点更新法，可实时进行机动检测。
Based on the principle of synchronous OFDM-IDMA, a low-complexity sliding-window based asynchronous multi-user detection algorithm is proposed.
在同步OF DM - ID MA原理的基础上，提出了低复杂度的基于滑动窗口的异步多用户检测算法。
Based on the principle of synchronous OFDM-IDMA, a low-complexity sliding-window based asynchronous multi-user detection algorithm is proposed.
在同步OF DM - ID MA原理的基础上，提出了低复杂度的基于滑动窗口的异步多用户检测算法。
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