1) least mean-square optimization
最小均方最佳化
2) least mean square
最小均方
1.
The transformed signal is used as the input to least mean square self-adapting filter algorithm with stage Ⅱ.
第二级将变换后的输入信号用做最小均方自适应滤波算法的输入。
2.
The least mean square (LMS) linear prediction method was introduced to detect data points of a surface.
利用最小均方 (LMS)线性预测方法检测曲面型值点 ,对误差较大的坏点采用预测值进行修正 ,从而有效地避免了坏点对曲面光顺效果的影响 。
3.
The popular TDE algorithms mainly include the classical generalized cross correlation(GCC),the adaptive least mean square(LMS),the subspace based eigenvalue decomposition(EVD)and the acoustic transfer functions ratio(ATF-s ratio) methods,et.
现有的TDE算法主要包括经典的广义互相关(GCC)方法、自适应最小均方(LMS)方法、基于子空间的特征值分解(EVD)方法和基于传递函数比(ATF-s ratio)的方法等。
3) LMS
最小均方
1.
LMS Blind Space-Time Multiuser Detection in Multipath CDMA Channels;
多径CDMA信道下最小均方盲空时多用户检测
2.
This novel adaptive beamforming algorithm uses FFT for the received signal,passes the band-pass filter and finally uses the LMS algorithm to implement adaptive.
该波束形成算法先对输入信号进行FFT,然后在空间频域上带通滤波,最后通过LMS(最小均方)算法实现自适应波束形成。
3.
This paper proposes a LMS filtering method for channel estimation in OFDM systems.
提出了一种适用于OFDM系统的最小均方(LMS)滤波的信道估计算法,对发送序列中导频位置的信道响应进行LMS滤波,进一步得出所有子载波上的信道响应。
5) NLMS
归一化最小均方
1.
Normalized least mean square(NLMS)adapting filtering technology has been applieread spectrum c mmunication system to lim t narrowband interferences in the situationd tosp o i of Gaun ises.
为了提高直扩通信系统在高斯白噪声背景下抑制窄带干扰的能力,采用了归一化最小均方自适应(NLMS)滤波技术。
6) minimum average variance
最小化均方差
1.
The computer simulation demonstrates that the maxi- mization output energy algorithm presents good real-time performance;the minimum average variance algorithm has strong anti- noise ability.
本文主要对PAM调制方式下定时估计算法中最小化均方差和最大化输出能量代价函数性能进行分析研究。
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