The well-known constant modulus algorithm (CMA) is a very important approach for blind channel equalization.
著名的恒模算法（CMA）是一种重要的盲信道均衡方法。
This project has completed several research works on array-signal blind separation and blind channel equalization under support of NSFC.
本项目在国家自然科学基金的支持下，在阵列信号盲分离及信道均衡方面进行了多个方面的研究工作。
Traditionally, blind channel identification and equalization are all based on high order statistics.
传统的盲信道辨识和均衡都是基于高阶统计算法。
Blind equalization techniques rely on solely the received channel output signal to adjust the equalizer weights without a known training sequence available.
盲均衡就是不借助于训练序列而仅仅利用接收序列就实现均衡的一种新兴的均衡技术。
In this paper, we present an ISI model in which we consider the nonlinear nature of the channel and introduce blind equalization method to debase the ISI.
本文考虑了体全息存储信道的非线性特点，提出了页内串扰的模型，并引入了盲均衡化的方法来降低页内串扰。
A blind equalization algorithm based on constant modulus and sparse underwater acoustic channel is presented according to the sparse characteristic of the high rate underwater acoustic communications.
针对高速水声通信中信道的稀疏特性，提出了一种基于常数模准则的稀疏水声信道判决反馈盲均衡算法。
Blind equalization is one of the key technologies of blind demodulation to compensate the channel distortion.
盲均衡是实现信号盲解调的关键技术之一，是补偿信道失真的重要手段。
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。
This paper presents variable step dual model constant modulus algorithm, which combine with neural network for blind equalization in nonlinear channel.
尝试提出了变步长双模式恒模算法，并与神经网络结合应用于盲均衡研究中。
A robust dead-beat synchronization method was presented for discrete chaotic systems using adaptive channel blind equalization and dead-beat chaotic synchronization.
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。
The blind equalization algorithm is "equanimous" and the characteristic of convergence is not influenced by distortion of channel, it is fit for equalizing deep attenuation channel.
该算法具有镇定性，其收敛性能不会受到失真信道的影响，适用于均衡衰落性严重的信道。
Traditionally, blind channel identification and equalization are all based on high order statistics, which are known to suffer from many drawbacks.
传统的盲信道辨识和均衡都是基于高阶统计算法，从而存在许多弊端。
Blind equalization and blind channel identification mean that estimate the unknown sending signals and unknown channel respectively when there is no training serials.
“盲均衡”和“盲辨识”分别是指在不需要训练序列的条件下，对未知发送信号的估计和对未知信道的估计。
Blind equalization and blind channel identification mean that estimate the unknown sending signals and unknown channel respectively when there is no training serials.
“盲均衡”和“盲辨识”分别是指在不需要训练序列的条件下，对未知发送信号的估计和对未知信道的估计。
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