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The typical algorithm of text clustering is a ldquoHard Partitionrdquo one, Actually, Chinese text is better to treat with ldquoSoft Partitionrdquo for its diversity and largeness. The fuzzy-set theory supply a powerful analyzing tool to this ldquoSoft partitionrdquo. Traditional fuzzy text clustering methods mostly are getting the fuzzy equivalent matrix or fuzzy division by iterating the matrix...
This paper studies an M-estimation-based method for linear estimation with weighted L1 regularization and its recursive implementation. Motivated by the sensitivity of conventional least-squares-based L1-regularized linear estimation (Lasso) in impulsive noise environment, an M-estimator-based Lasso (M-Lasso) method is introduced to restrain the outliers and an iterative re-weighted least-squares...
This paper presents a modular verification approach for asynchronous circuits to address state explosion with a novel interface refinement method to reduce false counterexamples.This method borrows the idea of parallel composition, and it iteratively refines each component in a design by examining its interface interactions, and removes the behavior not synchronized with its neighbors. This method...
In sensor networks, data collected by sensor nodes needs to be tagged with time and location information. Localization techniques are used to determine the location information by estimating location of a sensor node. It is well known that distance measurement errors affect the accuracy of estimated location. These errors may be due to methodical or environmental factors. In this paper, we propose...
This paper presents an algorithm that interprets the waveforms associated with received mutipath components in order to estimate their Direction of Arrival (DoA), Direction of Departure (DoD) and Incident Angle to the Indoor Surface (IAIS) in the context of Impulse Radio - Ultra Wide Band (IR-UWB) communications. The proposed solution combines a deterministic description of the filtering effects of...
An analytic model is proposed to assess the performance of optimistic software transactional memory (STM) systems with in-place memory updates for write operations. Based on an absorbing discrete-time Markov chain, closed-form analytic expressions are developed, which are quickly solved iteratively to determine key parameters of the STM system. The model covers complex implementation details such...
In the context of MIMO communication systems, an iterative-recursive algorithm for the computation of the matrix left-pseudoinverse is proposed. Several matrix theory properties are considered for computational complexity reductions. The algorithm works properly due to the classic assumptions on the statistical characteristics of the MIMO channel elements. Considerable improvements in the algorithmic...
The dramatic increase in leakage current, coupled with the swell in process variability in nano-scaled CMOS technologies, has become a major issue for future IC design. Moreover, due to the spread of leakage power values, leakage variability cannot be neglected anymore. In this work an accurate analytic estimation and modeling methodology has been developed for logic gates leakage under statistical...
In this paper, a low-complexity power-efficient iterative detection scheme for differentially encoded MPSK transmission over AWGN and Rayleigh fading channels is presented. As the main contribution, a novel APP coherent demodulator, which well suits for iterative processing, is derived under the optimal bit-based MAP criterion. The implementation of iteration is not trellis-based, and needn’t reconstruct...
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