The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The article is devoted to the construction of a mathematical model and the algorithm for reducing a set of staganalytical correlated methods taking into account the computational complexity of the problem. The basic steganographic methods for the images spatial domain are described. Known steganalytical algorithms for the spatial domain are reviewed. It is shown that a significant number of steganalytical...
The JOCOR algorithm, which was first introduced by Mueen et at., is the currently exact method for joining two time series to find the most correlated subsequence. Despite the fact that time complexity for JOCOR belongs to O(n2lgn), where n is the length of the time series, it becomes inefficieit and unfeasible even for medium-size time series. This is because the JOCOR method is based on a brute-force...
Available sensing measurements in modern industrial process include two significant characteristics: distribution and autocorrelation. Different types of sensing measurements exhibit different characteristics. Moreover, different feature extraction methods are suitable for data with corresponding characteristics. This paper proposes a novel dual-step subspace partition method in order to establish...
This article presents some issues of correlative signal processing using field programmable gate arrays (FPGA). At first, the noise signal is briefly described. Second, an overview of some existing implementations is made. Preliminary results of own implementation are presented as a third.
This paper presents the current problematic of development a set of indicators user direction, informational direction and reputational direction to perform task of directions of the organization of life cycle of virtual community. The method of determination of possible variants of balancing indicators of virtual community is developed. These indicators based on the analysis of the subject area of...
Image match has been widely used in computer vision, pattern recognition and image processing. The matching efficiency is a focus topic in the field and some methods have been presented, such as simplification of similarity measure, application of optimization algorithms. Particle swarm optimization algorithm (PSO) has been utilized successfully for image match. However, it is easy to fall into the...
Multiview canonical correlation analysis (MCCA) is an effective tool for analyzing the relationships among group- aligned multidimensional samples, which has been applied to the fields of pattern recognition and computer vision. In MCCA, its first-stage canonical variables are solved by a multivariate eigenvalue problem that can be computed by Horst method. However, how to use the algorithm for effectively...
The Dempster-Shafer evidence combination method will appear inconsistent conclusions for the conflict evidence. One new universal evidence combination method was proposed. According to the concept of the Pearson correlation coefficient. Evidence distances which represent the conflict degree were calculated, and then the weight coefficient were further converted. The evidences probability were redistributed...
This paper presents the computational procedure of the most generalized version of the stabilized fast Recursive Least Squares (RLS) adaptive filtering algorithm. It is considered the algorithm for the adaptive filters with an unequal number of weights in channels. The using of the sliding window and dynamic regularization, when the correlation matrix is estimated, allows the algorithm to process...
In recent years, emotions expressed in social media messages have become a vivid research topic due to their influence on the spread of misinformation and online radicalization over online social networks. Thus, it is important to correctly identify emotions in order to make inferences from social media messages. In this paper, we report on the performance of three publicly available word-emotion...
With the introduction of several new coding tools and technology for depth maps in 3D-HEVC, the coding efficiency is improved at the expense of computational complexity. Meanwhile, the inter-view correlation is not considered and used well for depth maps, while it is developed maturely in texture video coding. Therefore, in this paper, we propose an early determination scheme for the best prediction...
Clustering techniques have gained great popularity in neuroscience data analysis especially in analysing data from complex experiment paradigm where it is hard to apply traditional model-based method. However, when employing clustering analysis, many clustering algorithms are available nowadays and even with an individual clustering algorithm, choices like parameter settings and distance metrics are...
Herein, the problem of simultaneous localization of two sources given a modest number of samples is examined. In particular, the strategy does not require knowledge of the target signatures of the sources a priori, nor does it exploit classical methods based on a particular decay rate of the energy emitted from the sources as a function of range. General structural properties of the signatures such...
This paper designs and implements a Steady State Visually Evoked Potential (SSVEP) intelligent home service system based on Canonical Correlation Analysis (CCA), which realizes that electroencephalogram (EEG) controls home service. The system includes a stimulus module, a data acquisition module, a data analysis module and a controlled module. Experiments show that the correct accepting rate of instructions...
This paper proposes an improvement to the PageRank algorithm. Most existing PageRank algorithms expect a strong correlation among consecutively accessed webpages, which in reality should be a fuzzy relationship when a user accesses pages on an arbitrarily basis. We mine data from search-behavior logs by analyzing chronological sequential patterns, and cluster all webpages using fuzzy C clustering...
In this paper the long standing major challenge of designing binary sequences with good (aperiodic) autocorrelation properties in terms of Peak Sidelobe Level (PSL) and Integrated Sidelobe Level (ISL) is considered. The problem is formulated as a bi-objective Pareto optimization forcing the binary constraint at the design stage. An iterative novel FFT-based approach exploiting the coordinate descent...
Existing clustering algorithms need to specify the number of clusters and to select initial points using human input, which lead to inferior clustering and optimisation outputs. Here, an improved grey decision-making model based on the thought of affinity propagation algorithm and grey correlation analysis is proposed to solve these problems. According to the panel data class and the inter-class candidate...
In order to improve the signal-to-noise ratio(SNR) of the noise-contaminated signal and speed up the calculation speed. Firstly, digital average and correlation analysis two traditional methods is introduced in this paper, and then a new fusion algorithm method based on packet digital average and correlation analysis is proposed. Furthermore, simulations based on MATLAB of digital average, correlation...
In the aspect of weak signal detection, the single sensor has the limitation to detect the weak signal and carry out the cross correlation operation. Therefore, the paper proposes a multi-sensor cross-correlation fusion algorithm. The same measured point is detected using a plurality of identical sensors and the detected signal is processed using the cross-correlation fusion algorithm. Through theoretical...
Tracheoesophageal (TE) speech is generated by patients who have undergone a total laryngectomy where the larynx (voice box) is removed and replaced by a tracheoesophageal puncture. This work presents a novel low complexity algorithm to estimate the degree of severity of disordered TE speech. The proposed algorithm uses features which are computed from 32-ms voiced frames of the speech signal. A 21-st...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.