To detect small moving targets in complex visible image background clutter, the spatial-temporal difference method is presented.
针对可见光图像背景下的运动小目标检测，提出了一种空时域联合差分的检测方法。
A method combining temporal difference method with neural network model is applied to predict the sulfur content of the hot metal.
将时差方法与人工神经元网络方法有机地结合起来，提出了一种在高炉铁水含硫量预报中的应用策略。
Using the temporal energy data, and connecting traditional difference method with medicinal general knowledge, the thesis makes the recognition for heart sounds.
结合传统的差分法和医学常识，使用心音的时域能量包络数据对心音成份进行识别。
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