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Visible Infrared Imaging Radiometer Suite (VIIRS) land surface albedo (LSA) product is one of the routinely generated VIIRS environmental data records (EDR). A direct estimation approach based on radiative transfer simulation was developed to directly estimate instantaneous LSA value from VIIRS clear-sky top-of-atmosphere (TOA) reflectance. Comprehensive validations and evaluations were performed...
This paper presents a novel nonlinear adaptive filter method, namely, Hammerstein adaptive filter with single feedback under minimum mean square error (HAF-SF-MMSE). A single delayed output is incorporated into the estimation of the current output based on minimum mean square error criterion, and therefore the history information of output is considered. Moreover, hybrid learning rates and adaptive...
This paper investigates the multi-target localization and circumnavigation problem of a group of autonomous agents, where each agent only has bearing measurements of its single target. An estimator is designed for each agent to estimate the position of the corresponding target; then a distributed estimation algorithm is designed for each agent to cooperatively estimate the center of multi-targets;...
Continuous development of electrical power systems has resulted in very complex relay protection system with associated numerical protection algorithms. Reliability, selectivity and speed are the basic design requirements for the development of new algorithms. Ideally the amplitude estimation algorithms should determinate the amplitude as fast as possible, theoretically with just one sampled value...
This paper proposes an efficient algorithm for noise level estimation in still images. The images are assumed to be corrupted by additive white Gaussian noise. The proposed method relies on block-based image segmentation and Gaussian filtering to estimate the standard deviation of Gaussian noise. The proposed method employs adaptive image segmentation, where the size of segmentation blocks is derived...
Efficient processing of spectral unmixing is a challenging problem in high-resolution satellite data analysis. The decomposition of a pixel into a linear combination of pure spectra into their corresponding proportions is often very time-consuming. In this paper, a fast unmixing algorithm is proposed based on classifying pixels into a full unmixing group for subset selection requiring intensive computational...
Based on 8-shaped double circle circular array, a self-calibration algorithm is proposed in this paper for 2D angle estimation and calibration of mutual coupling coefficients. Through the analysis of array structure, the entire array is divided into two sub arrays. By observing the characteristics of mutual coupling matrix in each sub array and between two sub arrays, a reasonable reconstruction matrix...
Target tracking is a hot topic for unmanned aerial vehicle surveillance. Recently, the novel random sample consensus (RANSAC) algorithm shows a good tracking performance in dense clutter environment. However, the heavy computational burden limits the usage for unmanned aerial vehicle (UAV). In this paper, a density-based recursive random sample consensus (DBR-RANSAC) algorithm is proposed, which utilizes...
The present paper discusses different techniques of measuring Carrier-to-Noise density ratio (C/N0) in navigation and information-communication systems. C/N0 means the ratio of the received signal power to the noise spectral density N0 at receiver's input (at the output of an antenna with a low-noise amplifier (LNA)). Correlation processing is performed in the receiver to obtain in-phase (I) and quadra-phase...
An approach, verifying class diagram correspondence to SOLID Design Principles, is proposed in this paper. SOLID is an acronym, encapsulating the five class diagram design principles namely: Single Responsibility, Open-Closed, Liskov Substitution, Interface Segregation and Dependency Inversion. To check whether a class diagram meets to SOLID, its analytical representation is analyzed by means of predicate...
Using the minimum number of broadcasts to flood information in a vehicle network so that the maximum number of vehicles receives the information is a critical issue. Up to now, no research reports show the relationship between broadcast radius and success rate, the one-hop broadcast efficiency (i.e., the ratio of nodes that successfully received nodes to all nodes within the broadcast range). Determining...
The influence of errors in the signal model using the methods of estimating the spatial spectrum of the input field of the antenna array is investigated. It is shown that, in the presence of model errors, the eigenvectors of the matrix of the mutual power spectral density of the sum of the signals and noise in terms of their stability and resolving power can differ significantly from each other. The...
The complexity of transportation systems often dictates detailed representation of time-dependent demand and supply interaction through Dynamic Traffic Assignment (DTA). These complex models involve a large number of global parameters (behavior and congestion features) and main inputs (demand and supply characteristics) that require to be calibrated off-line, while stream of data coming from the field...
In the context of a growing need for dedicated solutions in the field of human space mission support, this paper proposes an emotion assessment system and its dedicated implementation architecture. The proposed system is described and a pilot implementation of the emotion assessment system is developed utilizing open source software OpenFace for detection of key facial features, called Action Units...
Sparse code multiple access (SCMA) is a new type of non-orthogonal modulation suggested for 5G systems offering lower bit-error rate and higher spectral efficiency. There are many challenges when designing high throughput SCMA message passing decoders to meet the standards expected from 5G networks. Particularly, the message passing algorithm (MPA) needs many exponential computations to calculate...
In view of the problem that support vector machine classifier learning new knowledge is poor in real time, a new algorithm of radar emitter identification based on hull vector and Parzen window density estimation is studied. The algorithm takes the Parzen window density estimation to eliminate the outliers, and reduces the training time by using the hull vector of the sample set. The identification...
We propose a new method for optimizing fixed-time traffic control plans and timings at isolated intersections by minimizing the Conditional Value-at-Risk (CVaR) of the intersection's average delay over an extended peak period. The optimization algorithm was implemented in Matlab using a scatter search algorithm to minimize the CVaR of the average delay which is based on the HCM formula for multiple...
Many exist localization algorithms are unbiased estimators. However, the estimation performance presents biased feature in the real location systems. On the other hand, many biased location estimators show advantages that unbiased estimators can not achieve, e.g., robust to the noise, more accurate estimation and low complexity. In this paper, we propose a biased localization estimator and a hybrid...
Estimation of Distribution Algorithms have proved to be very competitive for solving combinatorial and continuous optimisation problems. However, there are problems for which they have not been extensively developed: we refer to constrained optimisation problems. Existing proposals approach these problems by (i) modifying the sampling strategy of the probabilistic model to allow feasible solutions...
Understanding the causality behind the observational data is of great importance to a lot of real world applications, e.g., the improvement of Quality of Service. Non-Gaussianity has been exploited in numerous causal discovery methods for observational linear acyclic data. Transforming non-Gaussianity into indirect metrics is a conventional solution employed by existing methods, although this usually...
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