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抵消系统的英文

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"抵消系统"怎么读用"抵消系统"造句

英文翻译手机手机版

  • bucking-out system

例句与用法

  • Nanc has two adaptive filters : a main filter ( mf ) and a subfilter ( sf ) . the signal - to - noise ratio ( snr ) of the input signals is estimated using the sf
    该自适应噪声抵消系统由主自适应滤波器( mf )与分自适应滤波器( sf )组成。
  • In chapter 4 , various implementation issues associated with an acoustic echo cancellation system , such as double - talk detection , finite precision effects , nonlinear processing and howling detection and control are discussed
    第四章主要讨论了声回波抵消系统中的各种实现问题,比如双讲检测、有限精度的影响、非线性处理和自激信号的检测与控制。
  • On the basis of analysing multilayer forward artificial neural networks which based on back propagation algorithms and basic principles of the adaptive noise cancellation system , this paper sets up an adaptive noise cancellation controller based on artificial neural network , which is proved to be more efficient in the noise cancellation and has robust performance based on simulink of matlab at the end , this paper proposes some advices of model and algorithms
    在对基于误差反向传播学习算法的多层前向人工神经网络进行分析基础上,结合传统自适应噪声抵消系统基本原理,建立了基于人工神经网络的自适应噪声抵消器,经基于matlab的simulink仿真实例证明,具有很强的噪声滤除能力和鲁棒性。最后并提出了网络及算法进一步改进的方法。
  • Because the adaptive algorithm of conventional adaptive noise canceller is the least mean squares ( lms ) , and the convergence rate of lms is heavily dependent on the eigenvalue distribution of the autocorrelation matrix of the input signal , thus lms converges at unacceptably low rates when the input signal is colored noise or speech
    由于传统自适应噪声抵消系统( anc )自适应算法主要采用lms算法,而lms算法收敛速度依赖于输入信号自相关矩阵特征值的分散程度。因此,当输入信号是语音或有色噪声时, lms的收敛速度很慢。
  • Computer simulation results show that the proposed algorithm reduces the signal distortion and the reverberation which are caused by misadjustment errors in the adaptive filter and the correlated component of the speech in the reference signal compared with a conventional adaptive noise canceller ( anc )
    仿真结果证明nanc算法有效克服了影响传统自适应噪声抵消系统( anc )性能的一些瓶颈,如两输入中的非相关噪声,参考输入中的信号成分与自适应滤波器失调误差而产生的信号失真、回响等情况。
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