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。
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。
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。
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。
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。
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 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。
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。
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