in this study, a multi-objective genetic algorithm (moga) is utilized to extract interpretable and compact fuzzy rule bases for modeling nonlinear multi-input multi-output (mimo) systems. in the process of non- linear system identi cation, structure selection, parameter estimation, model performance and model validation are important objectives. furthermore, se- curing low-level and high-level ...

This paper is concerned with optimum band splitting and optimum recombination weights in subband HMM-based speaker identication. In the rst experiment , the full frequency band (8kHz) was split into two subbands, and speaker identication rate was measured for various splitting frequencies and recom-bination weights. It was found that subbands 0-2kHz and 2-8kHz with equal recombination weights g...

Blind separation of sources consists in recovering a set of statistically independent signals whose only mixtures are observed. Such instantaneous mixtures occur in narrow band array data which can then be processed without knowing the array manifold (blindness). This paper introduces a new source separation technique exploiting the possible time coherence of the source signals. In contrast to ...

Traditional Radio-Frequency IDentication (RFID) applications have been focused on replacing bar codes in supply chain management. Leveraging a ubiquitous computing architecture, we envision a framework allowing both quick decentralized on-line item discovery and centralized off-line massive business logic analysis, according to needs and requirements of supply chain actors. A semantic-based env...

1 Introduction The problem of automatic language identication|identifying the language being spoken by an unknown talker from a short excerpt of speech|is a challenging and important one, of interest to linguists and computer speech researchers. This document reviews the studies done so far in this area.

Audio-based speaker identi cation degrades severely when there is a mismatch between training and test conditions either due to channel or noise. In this paper, we explore various techniques to fuse video based speaker identi cation with audio-based speaker identication to improve the performance under mismatch conditions.

This paper introduces identi…cation-robust subvector tests and con…dence sets (CS’s) that have asymptotic size equal to their nominal size and are asymptotically e¢ cient under strong identi…cation. Hence, inference is as good asymptotically as standard methods under standard regularity conditions, but also is identi…cation robust. The results do not require special structure on the models unde...

The aim of this paper is to provide performance analysis of a deterministic method proposed recently for blind identication of linear time-invariant channels, in the presence of additive noise, for block transmission systems using redundant precoding. Robustness of the blind estimation method is also analyzed in the presence of slow channel variations arising due to Doppler shifts or due to pha...

We provide necessary and su¢ cient conditions for e¤ect identi…cation, thereby characterizing the limits to identi…cation. Our results link the non-structural potential outcome framework for identifying and estimating treatment e¤ects to structural approaches in economics. This permits economic theory to be built into treatment e¤ect methods. We elucidate the sources and consequences of identi…...