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This paper describe a feasible scheme of local visual navigation, local visual navigation application scenarios often some with complex background, target species more real scenario that the obstacle avoidance is particularly important. In particular the visual navigation target segmentation in the background and the foreground objects more complex scenarios important for predicting pre-step. This...
Many-objective optimization problems involving a large number (more than four) of objectives have aroused extensive attention. It is known that problems with a high number of objectives cause additional difficulties in visualization of the objective space, stagnation in search process and high computational cost. In this paper, a special class of many objective problems, which can be degenerated to...
In this work, the problem of multichannel cross-spectrum density (MCSD) estimation is studied. Based on a multichannel data model, the classic periodogram based MCSD estimator and the minimum variance (MV) based MCSD estimator are tested for cross-spectrum density estimation. Our major contribution in this work is a canonical correlation analysis (CCA) based MCSD estimator, relying on the inherent...
This work presents our analysis on adaptive beamforming and combining techniques applied to a system consisting of distributed antenna arrays. Our analysis reveals the connection between the theoretical and the practical schemes for data combination. The important roles played by the canonical correlations (CC), which may or may not exist among multiple data sets in a distributed antenna system, are...
This work provides a canonical coordinates perspective for direction-of-arrival (DOA) estimation using two distributed sensor arrays. A new method for estimating the DOA of multiple far-field narrow-band sources is proposed. Distinct from existing asymptotic results for canonical correlation analysis (CCA) in such an application, our special interest lies in the realistic limited array size and sample...
This work provides analytical results on the canonical correlation analysis (CCA) of data sets from two spatially separated arrays of sensors. Our case studies cover both single source and multiple source signals in either white or colored noise fields for array signal processing. We derive analytical expressions of the canonical correlation for these examples and present a computer simulation analysis...
The performance of a rotating packed bed (RPB) with three kinds of packings was investigated using alcohol/water solution under continuous distillation conditions at atmospheric pressure. The effects of average high gravity factor (β), reflux ratio (R), and feedstock flux (F) on mass-transfer in distillation were examined separately. Experimental results indicated that the total number of theoretical...
This work studies the performance of a data-driven reduced rank scheme for rapid timing acquisition in multiple access communications. Our results show that when only a limited amount of preamble bits are available, instead of the true second-order statistics (SOS), the reduced rank scheme provides reliable timing information. Exploiting the structure of the multiple access interference, the data...
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