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Both channel and phase noise blind recover are proposed and demonstrated to recover the orthogonal-frequency-division-multiplexing (OFDM) signal without using any training symbols or pilot subcarriers in direct-detection optical OFDM. The proposed receivers can achieve similar performance compared to conventional OFDM receivers.
A polarization converter (PC) based on the mode coupling in a hybrid plasmonic waveguide (HPW) is proposed. This PC comprises a Si core, a low index insulator layer surrounding the Si core, and two asymmetrically arranged Ag strips. Two orthogonal hybrid polarization modes are excited within the low index insulator layer. By exploiting the mode characteristics of these two hybrid polarization modes,...
Automating the interpretation of post-migrated seismic data would considerably reduce the time and cost of the interpretation process. In this paper, we study the role of texture perception in automating the delineation of an important sub-surface structure: salt dome. First, we propose a new seismic attribute, the gradient of texture, based on which we develop a framework for detecting and delineating...
Over the last few years, industry and academia have been shifting towards computer aided models for seismic interpretation because manual labeling and salt dome delineation is becoming very time consuming and labor intensive as the volume of seismic data is in the order of tera-bytes. In this paper, we have proposed an edge-based active contour with an arc length penalty using level set implementation...
The proximal classifier with consistency (PCC) isan improvement of generalized eigenvalue proximal support vector machine (GEPSVM), ensuring consistency ignored inGEPSVM. However, similar to many other machine learning methods, PCC uses only the global information and the eigenvalue problem need to be solved, which can not classify small sample size (SSS) problem effectively. By exploiting both global...
Machine interpretation using pattern recognition technique for remote sensing images not only liberates plenty of human resources, but improves results on the efficiency in certain aspects. In this paper, land/water classifiers that combined the texture measures with spectral analysis for remote sensing images have been built. And specific recognition has been designed in order to take advantages...
First the modeling procedure of time-varying grey dynamic model is introduced on the basis of grey dynamic model theory. Then the relation between the ordinary Gompertz model and time-varying grey dynamic model is discussed, thus one kind of trend model, grey Gompertz model is derived using time-varying grey dynamic model with logarithmic transformation. Similarly, another kind of trend model, grey...
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