稳定收敛 meaning in Chinese
stable convergence
Examples
- Based on the known principle of fixed points in mathematical analysis , a sufficient convergence condition of the erasure recover algorithm for low - density erasure codes is shown . 5
基于著名的不动点原理，证明了低密度纠删码的删除错误恢复算法稳定收敛的一充分条件； 5 - The simulation results show that the arithmetic can always converge to its real root for the random initial value , and that its precision is alterable , therefore the arithmetic is valid
计算机仿真结果表明：对于随机给定的初始点，该算法都能稳定收敛到它的一个实根，而且计算精度可控，因此，该算法是有效的。 - Among the adaptive beam - forming algorithms , the least mean square algorithm is widely used because it has a simple configuration and it is apt to come true and have nice convergence . on the other hand , it has a disadvantage that it converges slowly and there is a conflict between the fixed step and the convergence pace or the error in stabilization . so people have developed many improved least mean square algorithms which generally start from convergence , stabilization , misadjustment , and robustness and come to a formula about variational step in the end
在自适应波束形成算法中，最小均方( lms )算法因结构简单，易于实现，能稳定收敛而得到广泛应用，但它也存在收敛速度受限的缺点：固定步长因子无法解决收敛速度和稳态误差之间的矛盾。因此，人们提出了各种改进的最小均法算法来解决这一问题。改进的最小均方算法通常从如何改进收敛速度、稳态误差、失调量和鲁棒性等指标上出发，最后在新算法最终表达式中的步长公式上变化。