本文提出并讨论了一个适用于多电平数字通信系统的盲均衡算法。
This paper proposes and discusses a blind equalization algorithm for multilevel digital communication systems.
根据最大峰度准则设计了一种针对线性系统的盲辨识与盲均衡算法。
Based on maximum kurtosis criteria, a new blind identification and equalization algorithm is designed for linear system.
因此，本论文主要研究盲均衡技术在高速水声通信系统中的应用。
Therefore, this thesis investigates application of blind equalization technique in high speed underwater acoustic communication.
因此，在数据通信系统中不必发送训练序列，可以提高信道效率，同时盲均衡技术还可以获得更好的均衡性能。
So in the digital communication system a training sequence isn't transmitted, which can raise the channel's efficiency.
提出了一种改进的LMS算法，使基于该算法的半盲自适应信道均衡器适用于时变信道中OFDM系统。
An improved LMS Algorithm is presented in this paper, based on which there is a semi-blind adaptive equalizer of time-variant channel for OFDM systems.
因此，本论文主要研究盲均衡技术在水声通信系统中的应用。
Therefore, this dissertation investigates the application of blind equalization technology in an acoustic communication system.
一个强大的无差拍同步方法，提出了离散混沌系统的自适应信道盲均衡和无差拍混沌同步。
A robust dead-beat synchronization method was presented for discrete chaotic systems using adaptive channel blind equalization and dead-beat chaotic synchronization.
还证明了紫外信道是最小相位系统，可以进行盲均衡，结果指出，只要迭代次数足够，CMA盲均衡器输出误码率与滤波器阶数、迭代步长关系不是很明显。
It is proved that UV channel is a minimum phase system and can use blind equalizer. Ber is not sensitive to the step size and tap number for CMA blind equalizer.
本文主要介绍了基于二阶统计量(SOS)的数字通信系统的盲辨识和盲均衡。
In this paper, the problem of blind identification and blind equalization of digital communication systems based on the second-order statistics (SOS) are addressed.
本文提出一种适合于PAM、QAM数字通信系统的新的盲均衡算法。
A new blind equalization algorithm is proposed for QAM and PAM communication systems.
结合自适应信道盲均衡和离散混沌系统的稳健差拍同步提出了一种存在信道畸变时的离散混沌系统的稳健差拍同步方法。
A robust dead-beat synchronization method was presented for discrete chaotic systems using adaptive channel blind equalization and dead-beat chaotic synchronization.
结合自适应信道盲均衡和离散混沌系统的稳健差拍同步提出了一种存在信道畸变时的离散混沌系统的稳健差拍同步方法。
A robust dead-beat synchronization method was presented for discrete chaotic systems using adaptive channel blind equalization and dead-beat chaotic synchronization.
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