Through a series of real tests, this paper analyses the characteristic of IEEE 802.11 traffic, explains the results of the tests. More importantly, the results indicate that the characteristic of IEEE 802.11 traffic e...
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Through a series of real tests, this paper analyses the characteristic of IEEE 802.11 traffic, explains the results of the tests. More importantly, the results indicate that the characteristic of IEEE 802.11 traffic exhibits obviously self-similarity. As the first step to set up a 802.11 traffic math-model based on self-similarity theory.
In order to identify the local areas whose activity are most similar with region of interest (ROI), we usually compute the correlation of fMRI data for the brain functional connectivity. The fMRI data is usually noisy...
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In order to identify the local areas whose activity are most similar with region of interest (ROI), we usually compute the correlation of fMRI data for the brain functional connectivity. The fMRI data is usually noisy, extraction of functional connectivity with the voxel by voxel based method such as Pearson correlation analysis is not robust. Many people smooth the fMRI data before compute the correlation coefficient, which only makes the effect worse, because some useful original information is lost during the smoothing. Here, we analyzed this issue in details and improved the data processing flow to make the result better. Furthermore, a new criterion RV correlation coefficient was introduced in this article to measure the correlation between two local brain regions; This multivariate correlation technique applied the spatiotemporal information within the local regions to measure the similarity of the activity in different brain regions. We compared four different strategies mentioned above to detect the functional connectivity on the simulated and real fMRI data, and the results demonstrated that the RV-coefficient method obtained the best performance.
The H.264 video coding standard has a significant performance benefit versus former standards. However, motion compensation decoding process takes up a significant decoding time due to the advanced coding features. In...
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The H.264 video coding standard has a significant performance benefit versus former standards. However, motion compensation decoding process takes up a significant decoding time due to the advanced coding features. In this paper, the theory of motion compensation decoding in H.264 is given at first. Then the improved method is proposed by motion compensation fast decoding algorithm and optimization based on ADI Blackfin533 hardware platform. Both PC and ADI Blackfin533 experimental results show that the proposed optimization strategy can substantially improve the efficiency of real-time H.264 decoder.
The principle of target tracking and data fusion techniques are discussed. To resolve high uncertainty that exists in sensors of mobile robots, the cross-sensor and cross-modality (CSCM) data fusion algorithm is prese...
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ISBN:
(纸本)9781424417612;1424417619
The principle of target tracking and data fusion techniques are discussed. To resolve high uncertainty that exists in sensors of mobile robots, the cross-sensor and cross-modality (CSCM) data fusion algorithm is presented. The algorithm is based on particle filter techniques, fuses the information coming from multiple sensors and merges different state space models. So it can be used to eliminate system and measurement noise and estimate value of position and heading of mobile robot. On simulation experiments, we compare different cases such as single sensor and multi-sensor data fusion, the results demonstrate the feasibility and effectiveness of this algorithm and exhibits good tracking performance.
Instead of traditionally using a 3D physical model with many control points on it, a calibration plate with printed chess grid and movable along its normal direction is implemented to provide large area 3D control poi...
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Instead of traditionally using a 3D physical model with many control points on it, a calibration plate with printed chess grid and movable along its normal direction is implemented to provide large area 3D control points with variable Z values. Experiments show that the approach presented is effective for reconstructing 3D color objects in computer vision system.
Most established activation detection techniques for functional magnetic resonance imaging(fMRI) data are always based on oversimplified assumptions that no spatial or temporal correlations exist in the data. In this ...
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Most established activation detection techniques for functional magnetic resonance imaging(fMRI) data are always based on oversimplified assumptions that no spatial or temporal correlations exist in the data. In this article, we strive for analysis of fMRI data in local frequency domain with multitaper frequency-domain singular value decomposition(MTM-SVD) technique which explicitly takes into account the intrinsic spatiotemporal correlations in the data and allows modeling patterns of spatiotemporal dynamics of brain activity. A local frequency-based representation well captures the features of BOLD signal evoked by experimental designs with periodic stimuli and the dominant physiology noise, therefore we can utilize principal component analysis to decompose fMRI data in local frequency domain and extract the spatiotemporal patterns of the brain activity. We have made experiment on real fMRI data, and the results demonstrated that our approach could detect the brain activity patterns effectively and reliably.
In this contribution, we provide a thorough review of the application of SAGE (space-alternating generalised expectation-maximisation) algorithm to the problem of parameter estimation for MIMO (multiple-input multiple...
In this contribution, we provide a thorough review of the application of SAGE (space-alternating generalised expectation-maximisation) algorithm to the problem of parameter estimation for MIMO (multiple-input multiple-output) systems. It is well established that the SAGE algorithms yields a superior performance compared to other estimation algorithms in terms of accuracy and robustness. For our investigation, we consider both the time and frequency domain evaluations of the algorithm since each domain requires a different signal model.
In this paper, a new genetic algorithm for solving multi-constrained optimization problems based on KS function is proposed. Firstly, utilizing the agglomeration features of KS function, all constraints of optimizatio...
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In this paper, a new genetic algorithm for solving multi-constrained optimization problems based on KS function is proposed. Firstly, utilizing the agglomeration features of KS function, all constraints of optimization problems are agglomerated to only one constraint. Then, we use genetic algorithm to solve the optimization problem after the compression of constraints. Finally, the simulation results on benchmark functions show the efficiency of our algorithm.
This article consists of a collection of slides from the author's conference presentation on NVIDIA's CUDA programming model (parallel computing platform and application programming interface) via graphical pr...
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ISBN:
(纸本)9781467388702
This article consists of a collection of slides from the author's conference presentation on NVIDIA's CUDA programming model (parallel computing platform and application programming interface) via graphical processing units (GPU). Some of the specific topics discussed include: the special features of GPUs; the importance of GPU computing; system specifications and architectures; processing capabilities; parallel memory sharing; CUDA programming models; transparent scalability; and major applications supported.
Designing of universal software in laser-marking industry is introduced here. This software boasts versatile functions, from basic graphic drawing to input interface for files created in AutoCAD and CorelDRAW, Graphic...
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Designing of universal software in laser-marking industry is introduced here. This software boasts versatile functions, from basic graphic drawing to input interface for files created in AutoCAD and CorelDRAW, Graphics and images showed in the user interface, which can be transformed by such methods as aligning, filling, node adjusting, are interpolated to discrete point data and then downloaded to control laser marking machine via PCI board card to accomplish total marking process. Object oriented programming methods are used, which make this software expansive and maintainable with a friendly interface easy to operate for clients.
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