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In this paper, it is shown how 2-D continuous compressive sensing (CCS) is used to recovery the complete measurements of a uniform rectangular array from its sparse case. 2-D CCS is implemented by reweighted atomic norm minimization. Based on the recovered data covariance matrix, the 2-D directions of arrival (DOA) are estimated via the Vandermonde decomposition of Toeplitz-block-Toeplitz matrix....
Gaze-tracking is a hot technology of human-computer interaction, which requires an explicit personal calibration process before every use for the sake of higher accuracy. When a number of different gaze interactive systems are used continuously, the calibration process would take the trouble. Due to the accuracy of interaction relying on the calibration of the camera which is used, in this paper,...
With the increase of spreading distance, the light energy decays rapidly in water. Simultaneously, the light will reflect and deflect multiple times in its travel path. Underwater image typically suffers from poor visibility, low contrast and color distortion due to light scattering and attenuation. In this paper, we put forward a novel algorithm to restore the image based on dark channel prior. The...
Image segmentation approaches have contributed a lot to help people interpret Synthetic aperture radar (SAR) images well. Fuzzy C-means (FCM), as a clustering method, is the most popular one of SAR image segmentation. However, classical FCM is quite sensitive to speckle noises included in the SAR images, and adding the spectral information is still not enough to improve the performance. Hence, there...
Impressive achievements have been achieved over the years in object recognition and 3D pose estimation while detecting objects and estimating their 3D poses reliably is still a very challenging problem, especially for texture-less objects in heavily cluttered scenes. In this paper, we introduce an improved approach based on multi-stage feature learning to identify object as well as their 3D orientation...
In general, radar emits electromagnetic waves actively. The effective distance is far. Infrared receive the heat of goal passively. The effective distance is short. If we want to get high-performance, we should make use of the advantage of the radar. The multi sensor information fusion technique can obtain higher accuracy and more explicit conclusions than the use of a single sensor. So in this thesis,...
A human body modelling and its contour feature point positioning approach based on the Point Distribution Model (PDM) and Active Shape Model (ASM) is proposed in this paper. We establish the training sample set of the human body data which obtained via 3D body scanner. The feature points of human body image are extracted, the training sample set registration and principal component analysis is done...
Most traditional network anomalies and attacks detection systems tend to employ supervised strategies, which require labeled training dataset that is arduous and expensive to obtain and fails to detect unknown attacks jeopardizing the system security and reliability. In this paper we present a new unsupervised approach based on abnormality weights rendering and subspace clustering techniques to detect...
Vehicle logo recognition (VLR) is a main issue in vehicle identification system. Logo recognition is still a challenge technique since VLR methods suffer from the large within-class variations due to the different illumination conditions, different viewpoints et al. In this paper, motivated by the excellent performance of the collaborative representation based classification (CRC), we formulate VLR...
A middleware software used to connect radar scanning unit based on multicast mechanism and display unit based on unicast mechanism is designed and implemented, and by using the cooperation mechanism of ARM and DSP Dual-Core in DM3730, DSP core processes the realization of radar coordinate conversion algorithm to solve the problem of single-core ARM processor in data processing (packet loss). As can...
We consider a cooperative incremental decode-and-forward (IDF) MIMO relay system where the relay operates with automatic repeat request (ARQ) protocol. The relay forwards the received signal from the source to the destination only when receives negative acknowledgement (NACK) from the destination. In this paper, we focus on relay antenna selection (AS) issue. An analytical framework for studying the...
Atmospheric duct is an anomalous structure with a high probability in the sea. Rough sea surface exists as an air-sea boundary, which can enable electromagnetic wave propagation more complex in atmospheric duct due to scattering. By the Fourier split-step algorithm of the standard parabolic equation and the impedance boundary conditions, the transmission loss in atmospheric duct for different kind...
An evolutionary multi-objective optimization (EMO) algorithm based on Pareto dominance have made great achievements in dealing with two or three objectives optimization problems. Nevertheless, with the problem objective function of the number increasing, the selection pressure of Pareto dominance based EMO algorithms deteriorates rapidly. In our paper, we propose an evolutionary algorithm based on...
Computer Numerical Control machines are the main machine tool used in machining process. The optimization of numerical control machining processes can significantly improve the energy performance of machining to achieve sustainability. In this paper, an energy consumption model has been built to take the energy consumption into account as the optimization aim and a Gcode based approach has been developed...
Eutrophication has become a serious environment problem in many parts of the world and Chlorophyll-a concentration is one of the important parameters for the characterization of water quality, which reflects the degree of eutrophication and algae content in the water body. So establishing a forecasting model to predict the chlorophyll-a concentration in evaluation of eutrophication become more urgent...
This paper proposes a disturbance compensating model predictive control (DCMPC) strategy for the dynamic positioning (DP) system of ships with unknown time-varying environmental disturbances and actuator saturation. The proposed strategy can make the position and heading of the dynamically positioned ship converge to the desired values without any priori knowledge about environmental disturbances...
Podded propulsion ship is a new type of electric propulsion ship, through the detailed analysis of its characteristics of the mechanism, the maneuvering mathematical model of MMG(mathematical model group) mechanism was established, and it explained the podded electric propulsion ship has a better maneuverability. The actual podded propulsion ship course control was given a detailed introduction, on...
This paper designs a prescribed performance adaptive fuzzy controller for nonlinear systems appearing input saturation. Using the property of fuzzy logic systems, the unknown nonlinear characteristics existing in the system is approximated. To address the input nonlinearity, that is, input saturation, an auxiliary system is introduced. Combining adaptive backstepping control technique and the fuzzy...
In this paper, the problem of adaptive backstepping control for uncertain systems in the presence of unmodeled dynamics and input time-varying delays is studied. Under some mild assumptions, a robust adaptive controller is designed such that the system is globally stabilized by using adaptive backstepping technique. Meanwhile, the transient system performance in L2 and norms of system output can be...
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