以故障条件概率和搜索检测代价组成启发函数。
The heuristic function consists of condition possibility of fault and search cost.
最小误码率线性多用户检测的问题可以归结为一个误码率代价函数的问题。
The minimum bit-error rate linear multiuser detection problem can be transformed to a bit-error rate cost function problem.
该方法利用动态规划理论中代价函数的建立过程来充分考虑图像中的灰度、均值、方差、光滑程度和纹理等多种特征，从而使目标检测的结果为最佳。
Using images' features such as gradient, mean, variance, degree of smoothing and texture characteristics to establish cost function may obtain the best results of target detection.
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