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In this paper, we propose an approach to detecting project-specific recurring designs in code base and abstracting them into design templates as reuse opportunities. The mined templates allow programmers to make further customization for generating new code. The generated code involves the code skeleton of recurring design as well as the semi-implemented code bodies annotated with comments to remind...
Since the low SNR environment, generally the modulation recognition rate of signal modulation type is not very high. In this paper, we studied an automatic recognition method of communication signal modulation type in the low SNR. According to analyze the signal entropy as the feature, three characteristics are selected, and the random forest is as the classifier, finally we get a high recognition-rate...
Cognitive radio (CR) is the enabling technology for supporting dynamic spectrum access. This sort of communication paradigm can utilize increasingly scarce spectrum resources more efficiently and has become one of the the hot issues of wireless communication in recent years. With in-depth research, some unique security risks of the CR network has been revealed. A new method named RF "Distinct...
Automated Modulation Classification (AMC) shows great significance for any receiver that has little knowledge of the modulation scheme of the received signal. A useful digital signal modulation recognition scheme inspired by the deep auto-encoder network is proposed in this investigation. In our proposed method, there are two deep auto-encoder networks. The system extracts the original features of...
This paper focuses on the design of dimensionality reduction based on Fisherface. We propose to apply the Fisherface algorithm in face recognition to automatic modulation recognition, and combine it with cyclic spectrum and k nearest neighbor classifier to realize the correct recognition of 9 kinds of modulation signals. Fisherface is an improved algorithm based on Fisher linear discriminant analysis,...
Compared with traditional linear Synthetic Aperture Radar (SAR), Circular-SAR(CSAR) can achieve 360-degree observation of targets. For this reason, CSAR is the best mode of SAR to exploit target feature extraction on azimuth directions. Over larger azimuth angular extents the energy reflected by targets is, in general, not uniform and most targets exhibit only limited scattering persistence. The algorithm...
The target feature is sensitive to the aspect angle of SAR observation, making the interpretation and target recognition of the SAR image difficult. The information acquired from a certain aspect angle is partial and incomplete, and the multi-aspect observations have the potential to improve the SAR performance in this aspect. Three topics of fine feature description of multi-aspect SAR observations...
Quadrature Amplitude Modulation (M-QAM) was developed to rapidly and automatically identify the modulation levels of digitally modulated signals at low signal-to-noise ratios (SNR). The method uses wavelet transforms with the optimal scale combining with manifold learning method to identify the modulation levels of the M-QAM signals. Simulation results show that when the SNR is not lower than − 22...
The S-transform is an very efficient time-frequency representation method. According to the contrast of the traditional methods, the S-transform has a progressive anti-noise property and time-frequency resolution. Making use of the advantage of the S-transform, the characteristic variables of the modulation signal can be gotten, which can be used to distinguish the different type of modulation signals...
Creating uniform lighting for archival-quality document acquisition remains a non-trivial problem. We propose a novel method for automatic photometric correction of non-planar documents by estimating a single, point light-source using a simple light probe. By adding a simple piece of folded white paper with a known 3D surface to a scene, we are able to extract the 3D position of a light source, automatically...
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