arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1503.00981cs.ITmath.IT
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ε噪声中多电平信号的形态检测器

Morphological Detector for Multilevel Signals in epsilon-Noise

Sander Stepanov, Anastasios Venetsanopoulos

摘要:

提出了一种适用于脉冲非高斯噪声信道中多电平信号检测的新方法。这种方法包括使用形态学非线性图像滤波原理的二维的信号。它是一种利用三维图像处理算法进行信号解调的新方法。这种形态检测器的成功结果鼓励人们对使用图像处理理论和算法进行二维的信号处理进行更多的研究。从第四节的例子中可以看出,这种重新使用开发良好和广泛开发的图像处理的新方法显著提高了性能。

英文摘要:

The novel approach was developed for multilevel signal detection in channels with impulsive non-Gaussian noise. This approach consists of using morphological nonlinear image filtration principles for two dimensional signals. It is a new method of signal demodulation, using three - dimensional image processing algorithms. Successful results of this morphological detector encourage more investigation towards using image processing theory and algorithms for two dimensional signal processing. As can be seen in the example in section IV, this new approach of reusing well developed and extensively developing image processing has significantly improved performance.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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