1) Kernel recursive least square algorithm
核递归最小二乘算法
2) Recursive Least Squares Constant Modulus Algorithm(RLSCMA)
递归最小二乘恒模算法
3) RLS algorithm
递归最小二乘算法
4) ROLSA
递归正交最小二乘算法
1.
The recursive orthogonal least square algorithm (ROLSA) is used to optimally select the hidden centers vectors of the radial basis probabilistic neural networks (RBPNN).
使用递归正交最小二乘算法(ROLSA)优选径向基概率神经网络(RBPNN)的隐中心矢量,微遗传算法(μGA)用于求解RBPNN最优核函数控制参数,并同ROLSA相结合(ROLS-μGA)来优化RBPNN的全结构(优选最优控制参数及隐中心矢量)。
5) recursive least squares algorithm (RLS)
递归最小二乘算法(RLS)
6) RLS
递归最小二乘法
1.
In this paper,a novel channel tracking algorithm based on Recursive Least Squares(RLS-IC) is proposed for Multi-input multi-output(MIMO) wireless communication systems under frequency flat fading with time variation environment.
该文提出了时变平坦衰落信道环境下多输入多输出(M IMO)通信系统中一种新的基于递归最小二乘法(RLS)的带干扰对消的信道跟踪方法(RLS-IC)。
2.
A new algorithm RLS will be u-tilized in order to study and improve the performance of the DPSK demodulation method.
采用常用的递归最小二乘法(RLS)自适应算法,研究了自适应解调方法对DPSK信号的解调及其性能。
补充资料：最小辐亮度与最小辐照度(见核爆炸火球)
最小辐亮度与最小辐照度(见核爆炸火球)
minimum-brightness and minimum-irradiance
zuixiao fuliangdu yu zuixiaofu乙haodu最小辐亮度与最小辐照度(minimum-brightness and而nimum一irradianee)见核爆炸火球。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条