This paper investigates multimedia quality fairness in wireless LAN environments where channel are error-prone due to mobility and fading. The experimental results show that using fixed MAC arguments for nodes in hete...
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ISBN:
(纸本)9781424403660
This paper investigates multimedia quality fairness in wireless LAN environments where channel are error-prone due to mobility and fading. The experimental results show that using fixed MAC arguments for nodes in heterogeneous channel conditions leads to unequal throughput performance and that may incur the degradation of multimedia QoS. To overcome the unfairness problem for provisioning QoS, we propose a cross-layer adaptation scheme by on-line adapting the multidimensional MAC-layer backoff parameters depending on the application-layer QoS requirements and PHY-layer channel conditions. Our solution is based on an optimization approach which utilizes neural networks to learn the cross-layer function. Simulation results demonstrate that our adaptive scheme can tackle a variety of channel condition to provide fair throughput for nodes in heterogeneous channel conditions.
This paper proposes an efficient algorithm for impulsive active noise control (IANC) systems. The impulsive sources cannot be modeled by Gaussian distribution, and hence the standard adaptive algorithm based on second...
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ISBN:
(纸本)9781538673928
This paper proposes an efficient algorithm for impulsive active noise control (IANC) systems. The impulsive sources cannot be modeled by Gaussian distribution, and hence the standard adaptive algorithm based on second order statistics would give poor performance or even fail to converge. One solution is to derive adaptive algorithm by minimizing a fractional low order moment, resulting in the famous filtered-x least mean p-power (FxLMP) algorithm. The proposed algorithm discussed in this paper is based on a previously proposed generalized FxLMP algorithm. The key idea here is to introduce a variable step-size using a convex-combination approach. A large value is used at the start-up of IANC system to achieve a fast convergence speed. As the AINC system converges, the step-size automatically reduces to a small value to improve the steady-state noise reduction performance. Simulations demonstrate the effectiveness of the proposed algorithm.
The use of fuzzy logic in the medical environment is very promising as it offers the possibility to incorporate the knowledge and experience of the physician into fuzzy sets and rules. The type-2 fuzzy logic makes it ...
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ISBN:
(纸本)9781479900206
The use of fuzzy logic in the medical environment is very promising as it offers the possibility to incorporate the knowledge and experience of the physician into fuzzy sets and rules. The type-2 fuzzy logic makes it even possible to incorporate the knowledge of several physicians into a single controller, thus enhancing it with the uncertainty present among different physicians. Once the controller is defined the outputs depend solely on its current inputs. It does not take any process information into account. For that purpose the controller is enhanced with an adaptive algorithm. It allows gradual changes by also keeping the initial rules, which had been defined by the physician and are helping for his comprehension of how rules are being applied. The type-2 fuzzy controller and the adaptive algorithm are described and compared to each other in the application of blood pressure regulation with drugs.
In the paper, we present a variable additive increase adaptive algorithm, which utilizes RTP/RTCP as the protocol to collect QoS information. Compared with constant additive algorithm, the flow enhanced by the variabl...
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ISBN:
(纸本)7900081585
In the paper, we present a variable additive increase adaptive algorithm, which utilizes RTP/RTCP as the protocol to collect QoS information. Compared with constant additive algorithm, the flow enhanced by the variable increase algorithm is more stable. We also simulate the algorithm and analyze the results.
The development of renewable energy, including wind farms, photovoltaic farms as well as prosumer installations, and the development of electromobility pose new challenges for network operators. The results of these c...
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The development of renewable energy, including wind farms, photovoltaic farms as well as prosumer installations, and the development of electromobility pose new challenges for network operators. The results of these changes are, among others, the change of network load profiles and load flows determining greater volatility of voltages. Most of the proposed solutions do not assume a change of the transformer regulator algorithm. The possibilities of improving the quality of regulation, which can be found in the literature, most often include various methods of coordination of the operation of the transformer regulator with various devices operating in the Medium-Voltage (MV) network. This coordination can be decentralized or centralized. Unfortunately, the proposed solutions often require costly technical resources and/or large amounts of real-time data monitoring. The goal of the authors was to create an algorithm that extends the functionality of typical transformer control algorithms. The proposed solution allows for reducing the risk of voltage collapse. The performance of the proposed algorithm was validated using multivariate computer simulations and tests with the use of a physical model of the distribution network. The DIgSILENT PowerFactory environment was used to develop the simulation model of the proposed algorithm. Then, tests were conducted on real devices installed in the LINTE2 Laboratory at the Gdansk University of Technology, Poland. Selected test results are included in this paper. All results have shown that the proposed algorithm makes it possible to increase the reserve of the voltage stability of the node, in which it is applied, thus mitigating the risk of a voltage collapse occurring. The proposed algorithm does not require complex and costly technical solutions. Owing to its simplicity, it has a high potential for practical application, as confirmed by the real-time control experiment in the laboratory.
In this paper, we contribute two reconfigurable integer motion estimation (IME) architectures (namely RSADT and RPPSAD) based on adaptive algorithm. Firstly, based on the pixel difference analysis, the spatial redunda...
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ISBN:
(纸本)9781424438686
In this paper, we contribute two reconfigurable integer motion estimation (IME) architectures (namely RSADT and RPPSAD) based on adaptive algorithm. Firstly, based on the pixel difference analysis, the spatial redundancy is further exploited and three subsampling patterns are selected adaptively. Secondly, in order to keep full data reuse, we propose an architecture level data organization for RSADT architecture. For RPPSAD, we apply pixel classification and memory organization to keeps full data reuse. An interactive data loading scheme is proposed to reduce power dissipation. Experiments show that, with some extra hardware, our RSADT can averagely achieve 65.86% reduction in processing time;as for RPPSAD, it can save 25.4% to 39.8% power dissipation when processing typical HDTV720p sequences.
An adaptive algorithm for speech enhancement is studied in this *** propose the adaptive Lyapunov speech enhancement algorithm for nonlinear speech enhancement system using FIR *** using the Lyapunov stability theory,...
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ISBN:
(纸本)9781509046584
An adaptive algorithm for speech enhancement is studied in this *** propose the adaptive Lyapunov speech enhancement algorithm for nonlinear speech enhancement system using FIR *** using the Lyapunov stability theory,the filter coefficients can adaptively adjust so that the error converges to zero *** adaptive algorithm ensures the speech enhancement system has a better performance than the traditional least mean square *** the case that the size,weight and power consumption,the design of a microphone array for hearing aids are serious hard to establish,the algorithm still *** last,an example of speech enhancement system result demonstrated the feasibility and effectiveness of the proposed adaptive algorithm.
In this paper, we address the problem of speech enhancement by adaptive filtering algorithm. A particular attention has been made for the backward blind source separation (BBSS) algorithm and its use in speech enhance...
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ISBN:
(纸本)9781450363921
In this paper, we address the problem of speech enhancement by adaptive filtering algorithm. A particular attention has been made for the backward blind source separation (BBSS) algorithm and its use in speech enhancement application. In this paper, we propose to implement the BBSS algorithm in the Wavelet-domain. The proposed backward wavelet BBSS (WBBSS) algorithm is then used in speech enhancement test. The new WBBSS shows better performances in terms of convergence speed and steady state in comparison with BBSS one. The obtained results have been evaluated in terms of segmental SNR and cepstral distance criteria and confirm the best performance of the proposed WBBSS algorithm.
The fast optimisation of transient stability emergency control (TSEC) strategy is a key factor of online safeguard for AC-DC interconnected systems. An engineering applicable TSEC algorithm has to obtain the disturbed...
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The fast optimisation of transient stability emergency control (TSEC) strategy is a key factor of online safeguard for AC-DC interconnected systems. An engineering applicable TSEC algorithm has to obtain the disturbed trajectories of the system by numerical integration, and then do quantised stability knowledge mining. Theoretical analysis and simulation verification reveal that the premise is to identify the unstable mode correctly, and then emergency control decision can be optimised according to the cost performance of the actions. Small integral step is usually needed for accuracy. In order to coordinate the accuracy and computational burden intelligently, this study proposes an algorithm for optimising generator-tripping control, which can adaptively reduce computational burden. If the unstable mode is insensitive to the change of fault parameters (e.g. fault clearing time), this case's time-varying property is more likely to be weak. Only for such cases, large-step Taylor series expansions (LSTSE) can be taken to replace small-step numerical integration (SSNI) and search for the optimal result. Based on its time-varying property, each case can get disturbed trajectories using LSTSE or SSNI adaptively and obtain optimal solution. The excellent performance of this algorithm is verified by simulation of nine Chinese regional power systems under various operating conditions.
This paper studies various tracking algorithms based on the characteristics of visual tracking system. According to the characteristics of cutting robot, tangential tracking and normal approximation are studied. An ad...
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