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equalization algorithms中文是什么意思

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  • Then the research of image enhancement based on of plateau equalization algorithm and genetic algorithm is done then in this chapter . image segmentation with algorithm of 2d - maximal variance between - class and region growing is accepted to eliminate the background and the isolated noise points which can not be the target
    论文在红外目标检测方面,以对经过预处理的图像进行分割为切入点,采用二维类间方差法和局域生长法来进行图像的分割,消除了原始图像中一些不可能为目标的孤立噪声点和大面积的背景区域。
  • To sum up , the main research work and its characteristic in this dissertation includes as follow : firstly , introduce the research background , point out the aim and actual meaning of the research , summarize the research status and development trend of time domain equalization algorithms and system on a chip design international and oversea
    概括起来,本文的主要研究工作及其特点包括: 1首先介绍了课题的研究背景,指出了本文选题的目的和实际意义,总结了时域均衡算法和片上系统设计的国内外研究现状和发展趋势。
  • This paper formulize the foundational principle and development of blind equalization technique based on neural network . the traditional neural network blind equalization algorithms have many advantages and disadvantages . through analyse these disadvantage , two kinds of new blind equalization algorithm based on neural network is proposed
    本文首先对基于神经网络的盲均衡技术原理及发展进行了阐述,分析了原有神经网络盲均衡算法的优缺点,然后对原有算法的缺陷进行改进,提出了两类新的神经网络盲均衡算法。
  • The second is blind equalization algorithm based on bili near recurrent neural network . this algorithm adopt the bilinear recurrent neural network and design a new transmission function and cost function . through computer simulation , all proposed algorithm have better convergence performance
    第二类是基于反馈神经网络( rnn )的盲均衡算法,此类算法使用了一种新型的双线性反馈神经网络( blrnn ) ,并将这种网络结构扩展到了复数域内,然后依据盲均衡的特点为网络设计了传输函数和代价函数。
  • In this proposed algorithm , the phase rotation can be compensated using higher order statistics , nonlinear transform of equalizer outputs , and decision feedback algorithm , the faster convergent speed can be obtained by introducing sign algorithm , and the mse can be reduced via employing decision feedback equalization algorithm
    该算法充分利用高阶统计量所包含的相位信息、均衡器输出信息的非线性变换及判决反馈算法来补偿相位旋转;利用符号算法可以减少计算量的特点来加快收敛速度;利用判决反馈滤波器的性能来减小均衡器输出的均方误差。
  • In this case , time domain equalization algorithm based on channel estimation will influence equalization effect if choosing noise sensitive algorithm to estimate channel , so it is necessary to adopt an anti - noise and high estimation precision estimation algorithm . in this dissertation , a new time domain equalization algorithm based on low rank hankel approximati
    Dsl线路实际工作环境存在各种干扰,尤其当多用户时,串音干扰很严重,对于采用基于信道估计的时域均衡算法,如果使用对噪声敏感的算法进行信道估计,必然影响均衡效果,因此需要采用具有抗噪声,估计精度高
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Last modified time:Sat, 16 Aug 2025 00:29:56 GMT

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