We propose a new MIMD adaptive RED and revisit two well-known adaptive algorithms for ARED, (Feng et al., A Self Configuring RED Gateway, Infocom, 1999) and (Floyd et al., adaptive RED). We use the steady-state relati...
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ISBN:
(纸本)9783540727088
We propose a new MIMD adaptive RED and revisit two well-known adaptive algorithms for ARED, (Feng et al., A Self Configuring RED Gateway, Infocom, 1999) and (Floyd et al., adaptive RED). We use the steady-state relation between the maximum marking (dropping) probability, max(p), and the average queue length, (q) over bar, to argue that different adaptive schemes, AIMD, MIMD, etc., can be proposed when max(p) varies slowly. We model MIMD ARED and study stability. It is shown through ns-2 simulations that the performance and robustness properties of MIMD ARED are in fact similar to those of Floyd's ARED.
A smoothed variant of the EM algorithm is given for simultaneous training the first layer and the output layer globally in the Normalized Radial Basis Function (NRBF) nets and Extended Normalized RBF nets (ENRBF), tog...
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ISBN:
(纸本)0780344286
A smoothed variant of the EM algorithm is given for simultaneous training the first layer and the output layer globally in the Normalized Radial Basis Function (NRBF) nets and Extended Normalized RBF nets (ENRBF), together with a BYY learning criterion for the selection of number of basis function. Moreover, a hard-cut fast implementation and an adaptive algorithm have also been proposed for speeding up the training and to handling time varying in the real time nonlinear signal learning and processing. A number of experiments are made on foreign exchange prediction and trading investment.
Laser heterodyne interferometer is one kind of nano-metrology systems which has been widely used in industry for high-accuracy displacement *** accuracy of the nano-metrology systems based on the laser heterodyne inte...
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Laser heterodyne interferometer is one kind of nano-metrology systems which has been widely used in industry for high-accuracy displacement *** accuracy of the nano-metrology systems based on the laser heterodyne interferometers can be effectively limited by the periodic nonlinearity. In this paper, we present the nonlinearity modeling of the nano-metrology interferometric system using some adaptive filters. The adaptive algorithms consist of the least mean squares(LMS),normalized least mean squares(NLMS), and recursive least squares(RLS). It is shown that the RLS algorithm can obtain optimal modeling parameters of nonlinearity.
We numerically solve nonlinear partial differential equations of the form ut equals Lu + Nf(u) where L nd N are linear differential operators and f(u) is a nonlinear function. Equations of this form arise in the mathe...
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ISBN:
(纸本)0819422134
We numerically solve nonlinear partial differential equations of the form ut equals Lu + Nf(u) where L nd N are linear differential operators and f(u) is a nonlinear function. Equations of this form arise in the mathematical description of a number of phenomena including, for example, signal processing schemes based on solving partial differential equations or integral equations, fluid dynamical problems, and general combustion problems. A generic feature of the solutions of these problems is that they can possess smooth, non-oscillatory and/or shock-like behavior. In our approach we project the solution u(x,t) and the operators L and N into a wavelet basis. The vanishing moments of the basis functions permit a sparse representation of both the solution and operators, which has led us to develop fast, adaptive algorithms for applying operators to functions, e.g. Lu, and computing functions, e.g. f(u) equals u2, in the wavelet basis. These algorithms use the fact that wavelet expansions may be viewed as a localized Fourier analysis with multiresolution structure that is automatically adaptive to both smooth and shock-like behavior of the solution. In smooth regions few wavelet coefficients are needed and in singular regions large variations in the solution require more wavelet coefficients. Our new approach allows us to combine many of the desirable features of finite-difference, (pseudo) spectral and front-tracking or adaptive grid methods into a collection of efficient, generic algorithms. It is for this reason that we term our algorithms as adaptive pseudo- wavelet algorithms. We have applied our approach to a number of example problems and present numerical results.
This paper discusses adaptive Filtering algorithms and proposes a fast algorithm based on vector plots analysis, that is different from the previous adaptive filtering algorithms. By introducing approaches of mathemat...
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ISBN:
(纸本)0780386531
This paper discusses adaptive Filtering algorithms and proposes a fast algorithm based on vector plots analysis, that is different from the previous adaptive filtering algorithms. By introducing approaches of mathematical geometrical analysis to study adaptive filtering, the paper inquires into vector plots structure of least mean squares (LMS) algorithm and geometrical feature of algorithm convergence and seeks effective fast algorithm on the basis of geometrical analysis. Numerical simulations are given to show the efficiency and superiority of the new algorithm.
Modern electromechanical systems due to the respective electric drives control algorithms, have to ensure maximum achievable requirements for precision and control dynamics of the spatial coordinates of the bodies tha...
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ISBN:
(纸本)9781509048656
Modern electromechanical systems due to the respective electric drives control algorithms, have to ensure maximum achievable requirements for precision and control dynamics of the spatial coordinates of the bodies that make up their structure. The features of these systems are changing the dynamic parameters, which include, changing the moment of inertia of bodies relative to the axis of rotation, as well as the impact of the external environment, for example in the form of wind moment with a random character. Availability of nonlinear moments of dry friction in the systems' construction leads to self-oscillation speed and position (the so-called "stepping" mode), unacceptable for precision devices. The article presents a comparative analysis of two algorithms for control of object with elastic connections: use the reference model in the forward loop and use of adaptive fuzzy PID controller. It is shown that both of these methods allow to remove the self-oscillations. However, the system with adaptive fuzzy PID controller has better dynamic performance and is robust in the case when the parameters of the controlled object change.
Hybrid-reflector multibeam antennas employed in satellite navigation systems transform adopted accelerated spatial filtering algorithms. In order to accelerate the algorithm, the adaptive system selects an amplitude-p...
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ISBN:
(纸本)9781479971039
Hybrid-reflector multibeam antennas employed in satellite navigation systems transform adopted accelerated spatial filtering algorithms. In order to accelerate the algorithm, the adaptive system selects an amplitude-phase distribution from a set of precalculated distributions for various interference signaling environments in the beam where the interference signal affects the radiation pattern of the main lobe. Specification of the weighted coefficients is performed after the most appropriate amplitude-phase distribution has been selected. Data from the weighted coefficients calculations is used for null formation in radiation patterns of beams where interference affects the side lobes.
In radio frequency identification (RFID) systems, the detection range and read rates may suffer from interferences between high power devices such as readers. In dense networks, this problem grows severely and degrade...
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ISBN:
(纸本)1424400651
In radio frequency identification (RFID) systems, the detection range and read rates may suffer from interferences between high power devices such as readers. In dense networks, this problem grows severely and degrades system performance. In this paper, we investigate feasible power control schemes to ensure overall coverage area of the system while maintaining a desired data rate. The power control should dynamically adjust the output power of a RFID reader by adapting to the noise level seen during tag reading and acceptable signal-to-noise ratio (SNR). We present a novel distributed adaptive power control (DAPC) and probabilistic power control (PPC) as two possible solutions. This paper discusses the methodology and implementation of both algorithms analytically. Both DAPC and PPC scheme are simulated, compared and discussed for further work.
The paper presents the survey of architectures and conversion algorithms used in so called adaptive analog-to-digital converters considered during the studies on these converters carried out by the author and his coll...
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ISBN:
(纸本)9781628413694
The paper presents the survey of architectures and conversion algorithms used in so called adaptive analog-to-digital converters considered during the studies on these converters carried out by the author and his colleagues. The key idea that distinguishes the adaptive analog-to-digital converters from other sub-ranging converters consists in application of the iterative digital signal processing algorithm for calculation of the output codes of the converters and for calculation of the values of residue signal gains in subsequent steps of conversion. Application of this approach in the proposed converters allows to achieve better parameters of the converters in comparison with parameters of conventional sub-ranging analog-to-digital converters.
Fog Computing brings resources closer to the end-user and improves user experience. Tasks with stringent QoS requirements can he processed locally in the Edge while the more elastic ones can be sent to the Cloud. For ...
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ISBN:
(纸本)9781665402910
Fog Computing brings resources closer to the end-user and improves user experience. Tasks with stringent QoS requirements can he processed locally in the Edge while the more elastic ones can be sent to the Cloud. For the benefits of this flexible architecture to he seen, task allocation algorithms should he dynamic and adapt to the load in the Fog and in the (loud. Using a discrete-event simulation approach, we evaluate the performance the four simple adaptive algorithms based on congestion estimation and compare them with the standard nearest node algorithm that uses non adaptive routing. We consider a setting in which base stations (access nodes) forward traffic to computing nodes (Fog and Cloud nodes) in a distributed way without coordination and sharing of state-information between the access and computing nodes. The algorithms are tested for their adaptability to sudden changes in the arrival rate of requests (to model peak hours) as well as robustness to the variance of the request-size distributions to understand the advantages and drawbacks of each of them. They are shown to perform well in scenarios with and without offloading.
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