我们将稀疏信号处理应用于QAM盲均衡。
We apply sparse signal processing to QAM blind equalization.
本文对于通信信道提出了一种新的盲均衡准则。
A novel criterion of blind equalization is introduced for communication channels.
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.
第四章研究了载波同步和盲均衡的协同设计技术。
Chapter 4 investigates the joint carrier recovery and blind equalization technology.
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.
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.
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.
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.
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.
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.
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.
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.
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。
Blind equalization is one of the key technologies of blind demodulation to compensate the channel distortion.
研究通过具有加性高斯白噪声的瑞利慢衰落电离层信道的恒模盲均衡技术。
The constant modulus blind equalization technique is investigated over a slow Rayleigh fading ionospheric channels with additive white Gaussian noise.
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.
在数字通信中，盲均衡是克服多径衰落信道导致的码间干扰的一种有效方法。
Blind equalization is an effective way to suppress the inter-symbol interference (ISI), which is caused by multipath fading communication channels.
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.
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.
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。
Blind equalization techniques rely on solely the received channel output signal to adjust the equalizer weights without a known training sequence available.
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.
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.
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.
结果证明，该算法能够在保证收敛精度的基础上，有效提高盲均衡收敛速度，同时便于硬件实现。
The simulations show that the algorithm effectively improves the convergence rate for blind equalization, while guaranteeing satisfying convergence accuracy.
结果证明，该算法能够在保证收敛精度的基础上，有效提高盲均衡收敛速度，同时便于硬件实现。
The simulations show that the algorithm effectively improves the convergence rate for blind equalization, while guaranteeing satisfying convergence accuracy.
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