• Adaptive signal deconvolution problem is reviewed by the new view point of the time series analysis.

    本文从时间序列分析的新观点阐述自适应信号去卷问题。

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  • This paper deals with the adaptive signal deconvolution problem from the point of view of the time series analysis.

    本文从时间序列分析观点处理自适应信号去卷问题。

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  • 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。

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  • In these methods, we use the optimum Wiener filtering and Window filtering deconvolution technique to process the background conductivity signal.

    包括了最佳维纳滤波反褶积与窗函数滤波反褶积对于背景电导率信号还原的处理方法。

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  • White noise deconvolution problem has important application backgrounds in oil seismic exploration, communication, and signal processing.

    白噪声反卷积问题在石油地震勘探、通信和信号处理领域有重要应用背景。

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  • A distributed fusion deconvolution for multichannel ARMA signal is given by using the optimal fusion weighting algorithm.

    最优加权融合算法将应用于多传感器arma信号分布式融合反卷积估值器。

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  • Signal processing and method application have been researched on the deconvolution filtering, signal composition and background conductivity computing.

    从反褶积滤波、信号合成、背景电导率计算等方面探讨了信号处理的原理和方法应用。

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  • With DSP being popularized and applied, deconvolution has found its application in many fields , such as optical imaging, image restruction , system discrimnation, signal restoration.

    随着数字信号处理的普及、应用,卷积反演在光学成象、图象复原、系统辩识、信号恢复许多领域都有广泛的应用。

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  • Using the modern time series analysis method, this paper presents a new self - tuning deconvolution filter for unknown multivariable ARMA signal observed through a known linear system.

    本文用现代时间序列分析方法,对于通过已知线性系统被观测的未知多变量arma信号,提出了一种新的自校正去卷滤波器。

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  • The. Relationship between input signal and stability of L1 norm deconvolution is described.

    叙述了输入信号与L_1模反褶积解的稳定性的关系。

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  • Deconvolution is a necessary means of improving seismic resolution in data processing, but in the same time it can decrease the signal noise ratio.

    在地震数据处理中,反褶积是用来提高分辨率的必要手段,但同时往往会降低资料的信噪比。

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  • In petroleum seismic exploration records, Rayleigh waves belong in disturbing waves which should be removed from the records before deconvolution and stacking so as to raise signal-to-noise ratio.

    石油地震勘探记录中的瑞雷面波是一种干扰波,在反褶积和叠加前必需首先将面波从炮记录中分离出来,以提高叠加剖面的信噪比。

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  • In petroleum seismic exploration records, Rayleigh waves belong in disturbing waves which should be removed from the records before deconvolution and stacking so as to raise signal-to-noise ratio.

    石油地震勘探记录中的瑞雷面波是一种干扰波,在反褶积和叠加前必需首先将面波从炮记录中分离出来,以提高叠加剖面的信噪比。

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