At last , this dissertation present an algorithm that performs joint frequency offset acquisition , channel estimation and data detection for each active user . users ’ separation is accomplished at the base station through space - alternating generalized - expectation ( sage ) techniques 最后本文给出了一种可以对每个用户进行载波频偏获取、信道估计和数据侦测的盲信道同步算法,并借助于sage算法在基站( bs )对用户信号进行分离。
Two sova decoding algorithms in ofdm system based on bpsk modulation with fading channel were presented . one is called bce _ sova , which is based on adaptive blind channel recognization . it can adaptively estimate the channel state information ( csi ) 其中一种是基于自适应盲信道识别算法的sova译码算法(简称bce _ sova ) ，该算法可以自适应地估计信道状态信息( channelstateinformation ， csi ) ，由于不用训练，传输时延小，但计算复杂度高。
Moreover , some elementary research on bse has been done , the extraction condition was discussed and the results show that bse can solve singular linear mixture problems to some extent . finally an algorithm for multi - sources blind extraction based on information theory was studied 匆此外，本文还对盲信号提取( bse )做了初步研究，对盲信号提取的条件进行了探讨，结果表明bse对解决奇异线性混合有一定效果，最后基于信息论准则研究了多源信号的提取算法。
The thesis consists of following parts : 1 . the paper reviews systematically the present research situation of blind source separation in the world . the basic principles and concepts of blind source separation and some algorithms are introduced 本论文对盲信号分离技术理论及其应用问题进行了研究，主要工作如下： ( 1 )搜集、整理、总结了国内外盲分离方面最新的研究成果和进展，介绍盲分离基本概念和理论，并着重讨论了几种比较常用的盲分离学习算法及算法特点。
During the past decade , blind source separation - bss has been a focus in the research area of signal processing . ranging from wireless communication to medical signals processing , to image enhancement and to audio mixtures separation , bss is a powerful tool to tackle those problems because it can reconstruct the original signals from the observed signals without any prior knowledge of the mixing system and source signals 盲信号分离技术是近年来信号处理领域的一个研究热点，由于其能够从观测的混合信号中恢复出原始信号，而对原始信号和混合系统的先验知识要求很少，因此在无线通信、医学信号处理、图像增强和语音分离方面有着广泛的应用。
According to the different mixture models of sources , linear bss can be divided into two classes : instantaneous mixture bss and convolutive mixture bss . in this dissertation , some classical algorithms of recent bss have been studied . the main contributions are as follows : reviewing the research situation of bss over recent decades systematically and choosing some popular bss algorithms to study and analyze by simulated experiments 本论文基于以上两种不同的混合模型对盲信号分离理论和近年来出现的一些经典分离算法进行了分析研究,主要工作如下: 1 .搜集、整理、总结近十年国内外盲信号分离领域的研究成果,并选择了一些经典盲信号分离算法进行理论研究和仿真实验分析。
Based on it , the ica is studied under instantaneous mixtures and convolutive mixtures blind separation models . the main works are as follows : 1 . based on herault - jutten algorithm separating signals blindly , we obtain an algorithm using natural gradient under instantaneous mixtures model . the equivariance property has been discussed too 以此为基础,在盲信号分离的瞬时线性混合模型和卷积混合模型下,对独立分量分析算法进行了研究,主要工作如下: 1 .在瞬时线性混合模型下,详细讨论了改进h - j算法。
In this algorithm , bss and discrete wavelet transform are combined : binary image is used as watermark and is embedded into the wavelet domain to ensure the robustness and invisibility of watermark ; bss is applied in the extraction of watermark to get the watermark with definite resolution on the condition of lack of source image . it is experimently proved that our blind watermark algorithm based on bss is satisfying 该算法将盲信号分离问题和离散小波变换相结合用于数字图像水印技术：水印嵌入时，以二值图像作为水印，嵌入到被保护图像的小波域中，保证了水印的鲁棒性和不可见性；水印提取时利用盲信号分离算法在没有原始图像的情况下将具有一定分辨率的水印图像提取出来，直观方便。
We do not scrutinize on a member ' s past but we help each other to shape our future , a future with the spread of blindness constrained , and a future with the existence of blindness contained , of which it is only attainable with the active participation , both intellectually and actually , of every members on getting the words of rationality out to the world , about the harm of blind - faith especially when it is maliciously misused by powerful , wealthy , and organized religious institutions and networks 我们不会介怀各会员的过去?反而著重互相帮助?从而去营造我们的共同未来?一个“播盲”被抑制的未来?一个“盲信”被规范的未来?而这个未来的达成?只能够是基于各信研会会员在“思想上和行动上”的通力合作?去把“理性之声”传至地极?尤其是要把“盲信之祸”暴露于人们眼前?而警告他们以免被一些“有权势” 、 “有财力” 、 “有组织”的宗教机构与网络以“玩弄盲信”所迷惑。
Firstly , a new joint filterbank precoders and decision feedback equalizers structure is proposed , and the corresponding optimization result based on the maximal mutual information criterion is derived . secondly , the concept of dt canonical model is proposed , which is very suitable for the task of blind signal processing based on the second - order statistical of the observations . thirdly , the methods of blind equalization and identification of the tv dispersive channels are researched systematically based on the proposed dt canonical model , and a subspace blind identification algorithm of the time - invariant channel matrix is developed 本文创新性的成果在于：提出了预编码-判决反馈联合均衡系统结构，并从理论推导得出了对应的最大互信息量最优化设计结果；首次提出了时变色散信道的离散正则模型概念，该模型适宜于利用观察数据的二阶统计量进行盲信号处理；基于离散正则模型对时变色散信道进行了系统的盲均衡和盲辨识方法研究，提出了对时不变信道矩阵的子空间盲辨识算法；针对误差传播效应问题，提出了可以消除误差传播效应的两级盲辨识算法；提出了基于离散正则模型的直接盲均衡算法；提出了基于特征恢复思想的神经网络直接自适应盲均衡算法。
