The minimum bit-error rate linear multiuser detection problem can be transformed to a bit-error rate cost function problem.
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。
Curve fitting problems are also discussed assumed linear marginal cost function.
本文采用线性边际成本函数假设，研究了成本曲线拟合问题。
This algorithm can adaptively optimize the cost function and reduce the suppression of high frequency component of PET image by adaptively updating linear slope of the RP.
该算法通过对正则化线性斜率的自适应，更新动态优化代价函数，以降低对PET图像高频成分的抑制。
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