提出了一种基于对角递归神经网络的盲均衡算法。
A new blind equalization algorithm based on diagonal recurrent neural networks (DRNN) is proposed.
提出一种适用于短突发信号的CMA盲均衡算法。
This paper provides a Blind Equalization Algorithm based on data-reusing Constant Modulus Algorithm (CMA) for short burst signal.
因此，研究盲均衡算法在水声信道中的性能是非常必要的。
Hence, it is significant to study the performance of blind equalizers for UWAC.
基于支持向量机的盲均衡算法，使用的输入信号是QPSK。
Based on support vector machine blind equalization algorithm, the use of the input signal is QPSK.
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.
提出了一种新的前馈神经网络(N - FNN)复值盲均衡算法。
In this paper, a new complex-valued blind equalization algorithm based on the feedforward neural network (N-FNN) is proposed.
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.
该算法具有比传统的基于二阶统计的盲均衡算法的计算过程和计算精度较高。
The algorithm has less computation process and higher computation precision than the traditional blind equalization method based on second-order statistics.
我们将稀疏贝叶斯学习与序列蒙特卡罗盲均衡算法结合，提高了原算法的性能。
We integrate the Sparse Bayesian Learning algorithm into the SMC blind receiver to improve the performance under sparse channels.
其出发点是利用基于无先导变换，并组合信号建模技术，进而提出一种盲均衡算法。
The starting point of this paper is to make use of the Unscented Transform (UT) and the modeling technique for signal, and a blind equalization algorithm is then proposed.
本论文的研究工作主要分为两个部分：盲均衡算法的研究和算法验证平台软硬件的研制。
The research work of the dissertation includes the following two parts: researching blind equalization technology and developing hardware and software of the verification platform.
为了克服传统恒模算法收敛速度慢的缺点，该文提出了一种用于捕获阶段的快速盲均衡算法。
To avoid the problem of slow convergence this paper presents a fast blind acquisition equalization algorithm to improve the convergence of the conventional CMA.
基于QAM调制信号及常模算法(CMA)，提出一种新的盲均衡算法—构造函数(CF)算法。
Based on QAM modulation and constant modulus algorithm (CMA), a novel blind equalization algorithm, the construction function (CF) algorithm is proposed.
本文分析了盲均衡准则，阐述了高阶统计量的基础知识，总结了基于高阶统计量的几种盲均衡算法。
This paper researches blind equalization ruler, analyses the knowledge of HOS and summarizes some algorithms based on the HOS.
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。
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.
常数模算法是一种最为常用的盲均衡算法，普遍应用于恒包络信号和非恒包络信号的均衡，但存在收敛速度慢和剩余误差大的缺点。
To solve the problem of slow convergence in the modified constant modulus algorithm (MCMA), a variable step and dual mode blind equalization algorithm is proposed, based on the MCMA algorithm.
此法可适用于任何盲均衡算法(信号信道均衡的拓延)，它也可以应用于源信号数目预先未知的情况。计算机模拟结果证实此方法的确是非常有效的。
It can adapt to any other blind equalization algorithms and be applied to the case that number of source signal is not known in advance.
针对盲均衡算法中，以梯度的估值计算抽头最佳系数时收敛性不理想的问题，介绍了一种新的以高阶矩来求解均衡系数的方法，并对该方法的性能进行了讨论。
But most blind equalizer converge very slow, a new algorithm for calculating the best coefficients using high order moments presented, and get a conclusion for the performance of the method.
提出了一种自适应变步长恒模盲均衡算法，利用剩余误差信号的自相关函数估计值作为控制步长的因子来自适应改变步长的大小，克服了恒模算法存在的固有缺陷。
A new variable step-size CMA blind equalization algorithm is introduced to conquer the defects of CMA, in which the step size is controlled by the estimation of error signal's autocorrelation.
传统的盲信道辨识和均衡都是基于高阶统计算法。
Traditionally, blind channel identification and equalization are all based on high order statistics.
新算法主要的运算为比较运算，只用到了少量的乘、加运算，所以计算量远小于通常的盲均衡器算法。
It only USES operations for comparison and few multiplication and addition so that the computational costs are much lower than that of usual blind equalization algorithms.
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。
This paper presents variable step dual model constant modulus algorithm, which combine with neural network for blind equalization in nonlinear channel.
该算法将自适应滤波领域中的仿射投影和数据重用思想引入修正常模算法(MCMA)盲均衡器。
The idea of affine projection and data-reusing in adaptive filtering field is applied to the modified constant modulus algorithm (MCMA).
近些年来盲信道均衡引起了人们极大的兴趣，其中应用最广泛的自适应均衡算法是盲信道均衡恒模算法。
In the last few years, blind equalization techniques have gained an increasing interest. The most popular blind adaptation algorithm is the constant modulus algorithm (CMA).
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.
着重介绍采用最小均方算法的横向滤波器、判决反馈均衡器及盲均衡器，讨论了HDTV中采用的不同均衡方案及其均衡性能。
The emphasis is laid on the principles of LMS transversal filter, decision feedback equalizer and blind equalizer. Different equalizing schemes and their performance used in HDTV are discussed.
仿真结果表明，该算法可有效抑制网络陷入局部极小，防止振荡，加快盲均衡器的收敛速度。
The simulation results showed that the new algorithm could control the local minimum, avoid the oscillation, and quicken the convergence speed of blind equalization procession.
仿真结果表明，该算法可有效抑制网络陷入局部极小，防止振荡，加快盲均衡器的收敛速度。
The simulation results showed that the new algorithm could control the local minimum, avoid the oscillation, and quicken the convergence speed of blind equalization procession.
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