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For a kind of weak harmonic wave signal in chaotic noise, this paper proposes a new blind identify algorithm which based on generalized regression neural network (GRNN) to estimate parameters of chaotic system, and then apply reiteration blind deconvolution method to remove remains noise in the system, and extract weak signal from chaotic background. From 2597 observation points, we obtain mean deviation...
The objective of the proposed approach is to extract useful signals from background noise. This paper describes the adaptive detection of an unknown signal in a colored noise background. In the proposed technology, the ability for the self-adaptive neural network fuzzy inference system (ANFIS ) approaching the nonlinear function is used. First, the nonlinear dynamic characteristic of colored noise...
A new approach for local area weak signal detection is presented. Sector spatial pre-filtering and image part high resolution algorithms were used in this method. The steps are: firstly, received data of array is pre-filtered by sector spatial filter. Secondly, according to the character of the noise field filtered, image-part high resolution algorithm is used to scan the local area. Then, the signals...
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