Choice of ADPCM's step-size updating factors m had a sea capacity of computing which optimizes multi-variables with complex cost function.
选择adpcm的步长修正因子M涉及复杂目标函数的多变量优化，是一个海量计算问题。
A new variable step size LMS algorithm with improved hyperbolic tangent function is presented, which is derived by the extensive review about some existing LMS algorithms.
在详细分析现有变步长LMS算法的基础上，给出一种以双曲正切函数的改进形式为变步长的LMS算法。
So we present an adaptive improved natural gradient algorithm, which use an appropriate estimation function to control the step-size and the momentum factor.
所以我们又给出一种自适应修正自然梯度算法，用一个合适的距离测度函数来控制步长和动力因子。
So we present an adaptive improved natural gradient algorithm, which use an appropriate estimation function to control the step-size and the momentum factor.
所以我们又给出一种自适应修正自然梯度算法，用一个合适的距离测度函数来控制步长和动力因子。
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