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1)  algorithm frequency domain noise-suppression algorithm
频域噪声抵消算法
2)  adaptive noise-suppression
自适应噪声抵消算法
1.
One is the adaptive noise-suppression algorithm,and the other is the frequency domain noise-suppression algorithm.
提出两种基于双传感器的抗强干扰涡街信号处理方法:自适应噪声抵消算法和频域噪声抵消算法
3)  adaptive noise cancellation
噪声抵消
1.
Genetic Algorithm Approach to Mixed Fixed H_2/H_∞ Optimal Adaptive Noise Cancellation;
基于快速遗传算法的固定阶H_2/H_∞自适应噪声抵消器
2.
Adaptive Noise Cancellation Using Adaptive Fuzzy Neural Networks Algorithm;
基于自适应模糊神经网络的噪声抵消器
3.
In order to avoid the trap of local minima,a design method based on the genetic algorithm was introduced to treat the nonlinear optimization of the fixedorder optimal adaptive noise cancellation.
讨论了同一噪声源多传感信号的自适应噪声抵消器的设计方法·针对同一信号源的多传感信号,采用快速遗传算法获取多路信息融合器(LC)的权系数及自适应噪声抵消器的系数,克服了基于梯度的搜索算法和随机搜索等算法获取最优滤波器参数难的问题·利用遗传算法自适应调整LC的权系数,克服了采用并行噪声抵消器的输出平均作为估计信号时,可能造成估计误差太大的缺陷·仿真结果表明,该自适应噪声抵消器的设计方法,不仅实现简单、运行时间短,而且充分利用了多传感信号的信息,其去噪效果良好
4)  noise cancellation
噪声抵消
1.
Application of ELMS algorithm in noise cancellation
ELMS算法在噪声抵消中的应用
2.
Starting with an adaptive noise cancellation technique-least mean square(LMS) method-to separate voice signals from strong background noises and, specifically, analysing the performance of this algorithm to find its demerits such as sluggish convergence and narrow wave band of signal extraction, an improved algorithm of adaptive least mean square with momentum factor is presented.
采用从强背景噪声中提取话音信号的自适应噪声抵消技术———最小均方误差(LMS)入手,对该算法的性能进行了分析,针对其收敛速度慢、提取信号频带窄的缺点,提出了改进的有动量因子的自适应最小均方误差算法(MLMS)。
3.
With the development of communication technology,self-adaptive noise canceller(ANC) is widespread applied in many fields,and adaptive noise cancellation technology is playing very important role in signal processing.
随着通信技术的发展,自适应噪声抵消器在现在信号处理中得到越来越广泛的应用。
5)  noise canceling
噪声抵消
1.
Adaptive noise canceling by using adaptive network based fuzzy inference system;
基于自适应网络模糊推理系统的噪声抵消
2.
The application of acoustic vector-sensor in the noise canceling;
自适应噪声抵消在矢量传感器方位估计中的应用
3.
Based on the analysis of the nonuniformity noise characteristics in infrared focal plane arrays, an adaptive algorithm for nonumiformity correction in infrared focal plane arrays by using noise canceling technique is proposed in this paper.
在分析了红外焦平面阵列非均匀性的噪声特性基础上 ,提出用噪声抵消的方法来对红外焦平面阵列的非均匀性进行自适应校正 ,针对实际图像进行了实验 ,结果表明该方法比神经网络法能得到更好的校正效果 。
6)  echo cancellation algorithm
回声抵消算法
补充资料:自适
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【出处】:
全唐诗:卷676-39
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