A integrated matching method with DE and ICP algorithm was proposed to match partly overlapped data clouds measured from different viewpoints. Firstly, data clouds were roughly matched with DE algorithm method and the...
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A integrated matching method with DE and ICP algorithm was proposed to match partly overlapped data clouds measured from different viewpoints. Firstly, data clouds were roughly matched with DE algorithm method and then ICP algorithm method was employed in the accuracy registration. In differential evolution, quaternion method was used to decrease the individual numbers of revolution space, to avoid premature convergence and improve optimizing speed, the probabilities of crossover and mutation were adaptively adjusted by means of adaptive algorithm. Some examples proved the method was effective and efficient for aligning large number of three dimension clouds data.
A fast multidimensional adaptive algorithm, Bootstrap, is proposed for multiple signal separation. It separates multiple uncorrelated signals imposed on each other. The bootstrap adaptive algorithm, which does not req...
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A fast multidimensional adaptive algorithm, Bootstrap, is proposed for multiple signal separation. It separates multiple uncorrelated signals imposed on each other. The bootstrap adaptive algorithm, which does not require training sequences, uses an optimization criteria that is based on minimization of output signal correlations. The learning process of this algorithm is compared with that of the least mean square (LMS) algorithm for different eigenvalue spreads. It has been found from computer simulations that the Bootstrap algorithm converges much faster than the LMS algorithm. The learning process of the Bootstrap algorithm is almost independent of eigenvalue spread.< >
The goal of the prefix coding is to assign codewords to elements of the input alphabet A, so that no codeword is a prefix of another one, and the total length of the encoded message S is minimized. In the case of stat...
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The goal of the prefix coding is to assign codewords to elements of the input alphabet A, so that no codeword is a prefix of another one, and the total length of the encoded message S is minimized. In the case of static prefix coding, symbol frequencies are known in advance. In the case of adaptive (or dynamic) prefix coding, every symbol S i is encoded before the next symbol S i+1 is read.
Wireless sensor-actuator networks (WSANs) have recently been suggested as an enhancement to the conventional sensor networks. The powerful and mobile actuators can patrol along different routes and communicate with th...
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Wireless sensor-actuator networks (WSANs) have recently been suggested as an enhancement to the conventional sensor networks. The powerful and mobile actuators can patrol along different routes and communicate with the static sensor nodes. This work is motivated by applications in which the objective is to minimize the data collection time in a stochastic and dynamically changing sensing environment. This is a departure from the previous static and deterministic mobile element scheduling problems. In this paper, we propose PROUD, a probabilistic route design algorithm for wireless sensor-actuator networks. PROUD offers delay-minimized routes for actuators and adapts well to network dynamics and sensors with non-uniform weights. This is achieved through a probabilistic visiting scheme along pre-calculated routes. We present a distributed implementation for route calculation in PROUD and extend it to accommodate actuators with variable speeds. We also propose the Multi-Route Improvement and the Task Exchange algorithms for balancing load among actuators. Simulation results demonstrate that our algorithms can effectively reduce the overall data collection time in wireless sensor-actuator networks. It well adapts to network dynamics and evenly distributes the energy consumption of the actuators.
In a Global Navigation Satellite System (GNSS) receiver the presence of detection and mitigation units, capable of reducing the impact of disturbing signals, can extremely enhance the position accuracy. However the pr...
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In a Global Navigation Satellite System (GNSS) receiver the presence of detection and mitigation units, capable of reducing the impact of disturbing signals, can extremely enhance the position accuracy. However the presence of such units is usually limited to professional receivers that dispose of additional computational power that can be used for interference detection and mitigation. In this paper the two-pole notch filter, the natural extension of the one-pole notch filter analyzed in [1], is proposed as computationally effective solution for interference detection and mitigation. The notch filter structure and the adaptive algorithm employed for tracking the disturbing signal are analyzed, and an interference detection unit, based on the adaptive algorithm convergence, is proposed. The two-pole notch filter coupled with the detection unit is used as elementary block for the design of a multi-pole notch filter that can efficiently mitigate more than one CW interference. Theoretical and simulative analyses show the feasibility and the good performance of the proposed method.
This paper presents the direct torque control (DTC) of an interior permanent magnet synchronous motor (IPMSM) based on sliding mode technique. Two adaptive sliding mode controllers are designed; one is used for regula...
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This paper presents the direct torque control (DTC) of an interior permanent magnet synchronous motor (IPMSM) based on sliding mode technique. Two adaptive sliding mode controllers are designed; one is used for regulating the motor speed and the other is dedicated for controlling the electromagnetic torque. Consequently, the demerits of classical DTC (large torque and current ripples due to sector changes, low speed problems, and sensitivity to uncertainties) could be avoided in the proposed scheme. The control law of each sliding controller has been designed in such a way that the chattering effects associated with the classical sliding mode are reduced to a great extent. Also, the reaching phase could be eliminated using the idea of total sliding mode control. Moreover, a simple adaptive algorithm is used to estimate the upper bound of lumped uncertainty. The stability analysis of the proposed control system is carried out using Lyapunov stability theorem. The feasibility and effectiveness of the proposed system have been demonstrated through computer simulations. A comparison between the proposed system and conventional techniques has been made in order to confirm the validity of the proposed approach. The superiority of the proposed system has been proved through comparative simulation results.
Very high level of acoustic noise in fMRI scanner rooms disrupts speech communication between the subject and the physician/researcher. Enhancing speech in such an environment is challenging due to the broadband and d...
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Very high level of acoustic noise in fMRI scanner rooms disrupts speech communication between the subject and the physician/researcher. Enhancing speech in such an environment is challenging due to the broadband and dynamic nature of the noise. Sub-band adaptive methods prove to be very effective in cancelling such noise. In this paper we present the results of using sub-band adaptive methods for enhancing speech corrupted by noise from a 3-Tesla fMRI scanner. We also observe that the performance depends on the synthesis filter bank structure.
In this paper, two probabilistic adaptive algorithms for jointly detecting active users in a DS-CDMA system are compared. The first one, which is based on the theory of hidden Markov models (HMM) is proposed within th...
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In this paper, two probabilistic adaptive algorithms for jointly detecting active users in a DS-CDMA system are compared. The first one, which is based on the theory of hidden Markov models (HMM) is proposed within the CDMA scenario and compared with the previously developed Viterbi-based algorithm. Both techniques are completely blind in the sense that no knowledge of the signature sequences, channel state information or training sequences is required for any user. After convergence, an estimate of the signature of each user convolved with its physical channel impulse response (CIR), and estimated data sequences are provided. This CIR estimate can then be used to switch to any decision-directed (DD) adaptation scheme. Performance of the algorithms is verified with simulations as well as with experimental data from an underwater acoustics (UWA) environment. In both cases, performance is found to be highly satisfactory, showing the near-far resistance of the analyzed algorithms.
Robustness is a major consideration in any controls application. A controller that goes unstable with only a slight disturbance is useless especially in the harsh environment of an automobile. Therefore any scheme tha...
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Robustness is a major consideration in any controls application. A controller that goes unstable with only a slight disturbance is useless especially in the harsh environment of an automobile. Therefore any scheme that increases the robustness without harming response time is very welcome. Adaptation is one such scheme and in our case we have two slowly varying values that lend themselves to it. Our original control scheme is a two surface sliding control that reduces the relative order to one. Therefore the adaptive derivations follow a standard sliding derivation. This derivation results in two adaptive laws that are implemented in both simulation and on a microprocessor controlled car engine.
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