介绍了输油管道漏磁检测方法及归一化最小均方自适应滤波方法。
MFL nondestructive testing of oil pipeline and normalized least mean squared adaptive filter methods were presented.
提出一种改进的归一化最小均方(MNLMS)算法，并用该算法驱动FIR滤波器以实现对象模型及其逆的辨识。
A modified NLMS (MNLMS) algorithm was proposed and applied to drive a FIR filter to approximate both the model and the inverse of plants.
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。
Normalized least mean square(NLMS)adapting filtering technology has been applieread spectrum c mmunication system to lim t narrowband interferences in the situationd tosp oi of Gaun ises.
NLMS算法是回声消除器中最常用的算法之一，然而语音信号的强相关性使NLMS(归一化最小均方)算法的收敛速度变慢。
NLMS (normalized least mean square) algorithm is widely used in echo canceller. However, due to high correlation of speech signals, the performance of echo canceller based on NLMS is depressed.
仿真结果表明最小均方自适应算法、归一化最小均方算法、基于QR分解的平方根信息自适应滤波器和基于QR分解的最小二乘格型自适应滤波算法都能有效地滤除海浪噪声。
It can be drawn from the simulation of the sea adaptive filter adopting various algorithms mentioned that the LMS, NLMS, QRRLS and QRDLSL are all effective to denoise the sea noise.
仿真结果表明最小均方自适应算法、归一化最小均方算法、基于QR分解的平方根信息自适应滤波器和基于QR分解的最小二乘格型自适应滤波算法都能有效地滤除海浪噪声。
It can be drawn from the simulation of the sea adaptive filter adopting various algorithms mentioned that the LMS, NLMS, QRRLS and QRDLSL are all effective to denoise the sea noise.
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