盲源分离技术是盲信号处理领域的一个重要的分支。
Blind source separation technique is an important branch in blind signal processing field.
盲信号处理是信号处理的一种基础技术，它要解决仅仅依靠输出信号去重现整个传输系统的问题。
Blind signal processing is a fundamental signal processing technology aimed at retrieving a system's unknown information from its output only.
本文主要研究了数字通信信号MASK,MFSK,MPSK信号的解调技术，重点研究了盲信号处理中通信信号的软件解调。
Demodulation techniques on digital communication signals, such as MASK, MFSK and MPSK signals, is discussed in this paper.
盲源分离方法是近年来出现的一种先进的信号处理方法。
Method for Blind Separation of sources is the Modem Processing Method for Signal.
本文第一章首先对短时突发信号和盲处理的有关概念进行了解释和说明，然后对本文的研究内容做了简要的介绍。
In the first chapter, the conceptions of short burst signals and blind procession are explained firstly, and then main contents of this dissertation are introduced in brief.
针对电子侦察领域中单通道多卫星信号处理这一新兴课题，提出了一种多信号盲多参数快速估计算法。
Processing multiple satellite signals received in single channel is a problem concerned by the field of electron recon - naissance.
就盲分离在阵列信号处理中的应用，提出了一种基于四阶累积量的源数估计方法。
Based on the application of BSS in array signal processing, a method of estimation signals number was proposed.
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.
盲源分离是一个很有优势的盲信号分析与处理工具，在机械状态监测与故障诊断领域有较好的应用前景。
Blind sources separation is a special and dominant tool for analyzing and processing signals blindly, which is promising in condition monitoring and fault diagnosis of machinery.
通过对传统盲源分离批处理EASI算法的分析，针对时变信道中通信信号的复数形式，以平滑窗的形式实现了批处理算法在时变混合模型下的应用。
Based on an analysis of EASI batch process algorithms for traditional blind source separation, a sliding window ICA algorithm is studied to deal with complex signals in the time variant mixing model.
盲源分离是一个很独特的盲信号分析与处理工具，在机械设备状态监测与故障诊断领域有较好的应用前景。
Blind sources separation is a special tool for analyzing and processing signals blindly, which is promising in condition monitoring and fault diagnosis of machinery.
盲源分离应用于机械振动信号的预处理中，提供了一个新的处理机制，在机械状态监测和故障诊断中具有一定的价值。
Blind Sources Separation (BSS) provides a new alterative for extraction of certain signal components in the signal corrupted by noise, and presents a new method for mechanical fault diagnosis.
因为盲信号分离在通信，语音识别等相关领域的广泛应用，使得它成为近年来信号处理研究的热点问题之一。
Blind sources separation is becoming the problem that gets more and more focus because of broad application in many fields, such as communication, speech recognition and so on.
采用基于二阶统计量的盲源分离算法对多导表面肌电信号进行处理，实现噪声的分离和表面肌电信号的初步分解。
Some methods of SEMG signal pretreatment based on blind source separation using second order statistics were proposed for noise separation and the elementary decomposition of multi-channel SEMG.
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。
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.
盲源分离是从观测信号中恢复源信号的一种有效方法，目前已成为信号处理领域的研究热点。
Blind source separation is an efficient method to recover source signals from observed signals, and it has become an attractive research in the field of signal processing.
测试表明该卡具有较好的性能，实现了对跳速较高的跳频信号的盲参量提取和实时解跳解调，并且可以广泛的应用在短波及卫星等大多数应用场合对处理能力的要求。
Test results proved the feasibility of the system, which could successfully extract the signal parameters and demodulate the frequency-hopping signals of high hopping in real time, the compreh…
提出了一种新的病态混叠盲源分离算法。算法首先对观察信号进行预处理，把多余的观察信号剔除，使预处理后的混叠矩阵A是行满秩的；
It is proposed a new blind separation algorithm of ill-condition mixed sources. Observed signals are pre-processed through eliminating redundancy signals so that mixed matrix A is row full rank.
盲源分离是一种很有希望的信号处理技术，具有独特的盲信息处理和波形保持能力。
Blind source separation is a promising technique for signal processing, which has such features as blind information processing and waveform restoral.
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。
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。
Therefore, it is more efficient and more applicable to advanced communication systems. Blind channel identification also has applications in image restoration, geoscience, etc.
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