Power dissipation management and hence increasing lifetime in wireless sensor networks (WSNs) is the most critical issue in the design procedure of the modern WSNs. There are many approaches through which power dissip...
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Power dissipation management and hence increasing lifetime in wireless sensor networks (WSNs) is the most critical issue in the design procedure of the modern WSNs. There are many approaches through which power dissipation and lifetime of the WSNs are moderated. In this paper, we present a fuzzy rule based methodology in order to increase the power saving in LEACH algorithm. We propose a fuzzy processor to be in charge of performing fuzzy instructions. This processor is applied to track the best path online for forwarding packets instead of traditional offline table based forwarding process. In addition, this processor is capable of aggregating input data by which the network traffic is extremely reduced. Simulation results show the numerous efficiency of our methodology not only in balancing the power dissipation through network, but also in lifetime improvement, traffic management, and network availability.
This paper describes a control strategy to drive a wheelchair in a building environment by thought. The user selects the destination in a list of predefined locations of interest using a slow but safe P300 EEG interfa...
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ISBN:
(纸本)9789810803681
This paper describes a control strategy to drive a wheelchair in a building environment by thought. The user selects the destination in a list of predefined locations of interest using a slow but safe P300 EEG interface. The robotic wheelchair navigates autonomously toward destination following virtual guiding paths. Along the way the user has the possibility to stop the movement using a fast μβ-rhythm BCI. Experiments demonstrate how healthy subjects can navigate safely in an home-like environment using this novel hybrid BCI.
Separation of EEG (electroencephalography) or MEG (magnetoencephalography) data into activations of small dipoles or current density distribution is an ill-posed problem in which the number of parameters to estimate i...
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Separation of EEG (electroencephalography) or MEG (magnetoencephalography) data into activations of small dipoles or current density distribution is an ill-posed problem in which the number of parameters to estimate is larger than the dimension of the data. Several constraints have been proposed and used to avoid this problem, such as minimization of the L1-norm of the current distribution or minimization of Laplacian of the distribution. In this paper, we propose another constraint that the current density distribution changes at only a small number of areas and these changes can be large. By numerical experiments, we show that the proposed method estimates current distribution well from both data generated by strongly localized current distributions and data generated by currents broadly distributed
A novel method for generating an optimal binary prefix condition code is described. The proposed code generation method generates optimal variable length codes that have short average error spans compared to the exist...
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A novel method for generating an optimal binary prefix condition code is described. The proposed code generation method generates optimal variable length codes that have short average error spans compared to the existing self-synchronising codes. A technique for calculating the expected error spans of variable length codes are also presented.
Recently, a new fast algorithm for 2-D N x N DCT, where N=2m, has been proposed [1]. It requires only half number of multiplications compared to the conventional row-column approach. However, the signal flow graph for...
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Recently, a new fast algorithm for 2-D N x N DCT, where N=2m, has been proposed [1]. It requires only half number of multiplications compared to the conventional row-column approach. However, the signal flow graph for the post-addition stage seems very complicated and the order of the output index is seemingly irregular, because the post-addition stage was not based on the mathematical expressions. Consequently, derivation of the signal flow graph becomes complicated as the transform size increases. Hence, In this paper, we present a systematic expressions for the post-addition stage in the 2-D DCT algorithm [1], which enable us to implement any N x N DCT in a straightforward manner. The results show that the signal flow graph from input to output has the recursive structure in which the structure for smaller N reappears for larger N. However, the number of additions increases in the new signal flow graph at the expense of improving the regularity in the structure.
An attempt is made at a quantitative understanding of the ALE (adaptive line enhancer) using an adaptive IIR (infinite impulse response) lattice notch filter. The stability of the algorithm is discussed, and an expres...
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An attempt is made at a quantitative understanding of the ALE (adaptive line enhancer) using an adaptive IIR (infinite impulse response) lattice notch filter. The stability of the algorithm is discussed, and an expression for the asymptotic bias of the frequency estimate is provided. The transient behavior of the algorithm is investigated. It is verified by simulation that the analysis substantiates the fast convergent properties shown by N.I. Cho et al. (1989). The cascade structure for retrieving multiple sinusoids is also discussed. The simulation results indicate that the cascade structure based on the lattice ALE algorithm provides results comparable to those described in the recent literature with much less computational complexity (i.e. O(N) versus O(N/sup 2/)), where N is the number of input sinusoids.< >
作者：
MCAULAY, RJMCGARTY, TPMIT
LINCOLN LABAIR TRAFFIC CONTROL DIVLEXINGTONMA 02173 MIT
LINCOLN LABRADAR SIGNAL PROCESSING GRPLEXINGTONMA MIT
INSTR LABCAMBRIDGEMA EGG CORP
BEDFORDMA
Interference in the form of multipath or uncooperative targets can seriously degrade the angle-of-arrival estimation accuracy of mutiplebeam processors. In this paper, the generalized likelihood ratio test is used to ...
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Interference in the form of multipath or uncooperative targets can seriously degrade the angle-of-arrival estimation accuracy of mutiplebeam processors. In this paper, the generalized likelihood ratio test is used to derive a test to detect the presence of interference for multiple beam processors. The detector performance is then analyzed in detail with respect to its dependence on signal-to-noise ratio (SNR), signal-to-interference ration (SIR), and on the relative phase between the target and interfering signals. It is shown that good detection performance can be obtained unless the phase difference between the target and interference signals is either in or out of phase.
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