In these fields, it also requires the use of blind identification of channel coding techniques.
随着信道编码技术在数字通信领域的广泛应用，信道编码盲识别问题也日益突出。
To implement image retouching blind detection, a blind identification algorithm for image was proposed.
为了对润饰的图像实施盲检测，提出了一种图像盲鉴别算法。
Based on maximum kurtosis criteria, a new blind identification and equalization algorithm is designed for linear system.
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。
A new blind identification algorithm for the communication channel is presented by using minimum noise subspace approach.
采用最小噪声子空间方法，提出了一种通信信道盲辨识算法。
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。
The advantage of the method rests in the computation reduction for the GIRF blind identification, which is useful for the online application of the GIRF blind identification.
该方法的优点是能有效减少GIRF盲辨识所需的计算量，这对GIRF盲辨识方法的在线应用是有利的。
Blind identification and equalization has been received considerable attention recently in communication and signal processing, the main work of this dissertation is on this topic.
近年来，盲信道辨识与均衡在通信和信号处理领域已经受到普遍关注。
This paper proposes a blind identification approach to direction of arrival estimation of coherently distributed sources without knowing the accurate function forms of the angular signal density.
针对相干信号源分布式目标，在具体的空间信号分布函数形式未知的情况下，提出了一种基于盲辨识的分布式目标波达方向（DOA）估计方法。
The blind inverse identification arithmetic is proposed firstly, and then the input source signal is restored by the deconvolution method using the identified system model.
首先提出了一种解决盲辨识问题的算法，然后利用辨识得到的系统模型对源输入信号进行反卷积恢复。
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 channel identification aims at retrieving the unknown response of system using only the observed output and the statistics of sources and the characteristics of channels.
信道盲辨识主要指不需要训练序列而仅仅利用接收端数据以及源发送序列的统计特性和信道的部分特性进行信道辨识。
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。
Therefore, it is more efficient and more applicable to advanced communication systems. Blind channel identification also has applications in image restoration, geoscience, etc.
盲信道辨识也可应用于信号处理的其他领域，如地震波分析、雷达波分析、图象盲恢复、生物医学信号分析等，因此具有很高的实用价值。
Meanwhile, the blind method based on subspace may have inevitable ambiguity and lower precision of identification.
而基于子空间的纯盲方法又带有不可避免的模糊性，辨识结果精度不够。
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。
Robust time delay estimation method based on least mean p-norm blind channel identification(BCILMP) was proposed and applied to estimate the propagation velocities of GEA.
根据分数低阶统计量理论，本研究提出一种基于最小平均p范数盲信道辨识的韧性时间延迟估计算法（BCILMP），对胃电信号传导速率进行估计。
Priori Blur Identification gets the PSF before restoration implementation, while Iterative Blind Deconvolution estimates the true image and the PSF at the same time.
先验模糊辨识方法是先获得点扩展函数的信息后再进行图像恢复，而迭代盲目反卷积方法是同时估计出清晰图像和点扩展函数。
Priori Blur Identification gets the PSF before restoration implementation, while Iterative Blind Deconvolution estimates the true image and the PSF at the same time.
先验模糊辨识方法是先获得点扩展函数的信息后再进行图像恢复，而迭代盲目反卷积方法是同时估计出清晰图像和点扩展函数。
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