This paper will present a practical and complete analysis of timing-mismatch effects for high-speed Analog Front-End (AFE) systems with the inherent nonuniformly holding outputs. The analysis reveals first the relationship with traditional impulsesampled timing-mismatch effects and then its closed-form expressions of the signal-to-noise-ratio (SNR), in terms of the number of channels, signal fr...

This paper describes our English Speech-to-Text (STT) system for the 2011 IWSLT ASR track. The system consists of 2 subsystems with different front-ends—one MVDR based, one MFCC based—which are combined using confusion network combination to provide a base for a second pass speaker adapted MVDR system. We demonstrate that this set-up produces competitive results on the IWSLT 2010 dev and test s...

AbstractFor the List Accessing Problem, Move-To-Front (MTF) algorithm has been proved to be the best performing online list accessing algorithm till date in the literature[10]. In this paper, we have made a comprehensive analysis of MTF algorithm and developed an Improved-MTF (IMTF) offline algorithm. We have generated two new types of data set and devise a new method of experimental analysis f...

The cluster bootstrap resamples clusters or subjects instead of individual observations in order to preserve the dependence within each cluster or subject. In this paper, we provide a theoretical justification of using the cluster bootstrap for the inferences of the generalized estimating equations (GEE) for clustered/longitudinal data. Under the general exchangeable bootstrap weights, we show ...

This paper examines the intentional herd behaviour of market participants, using Li’s test to compare the probability distributions of the scaled cross-sectional deviation in returns in the intraday market with the cross-sectional deviation in returns in an ‘artificially created’ market free of intentional herding effects. The analysis is carried out for both the overall market and a sample of ...

This paper describes “cranking”, a new committee formation algorithm. Cranking results in accurate and reliable committee predictions, even when applied to complex industrial tasks. Prediction error estimates are used to rank a pool of models trained on bootstrap data samples. The best are then used to form a committee. This paper presents a comparison of prediction error estimates that may be ...

Bootstrapping is a technique commonly known by its usage in language definition by the introduction of a compiler written in the same language it compiles. This process is important to understand and modify the definition of a given language using the same language, taking benefit of the abstractions and expression power it provides. A bootstrap, then, supports the evolution of a language. Howe...

We review the progress in the field of front propagation in recent years. We survey many physical, biophysical and crossdisciplinary applications, including reduced-variable models of combustion flames, Reid’s paradox of rapid forest range expansions, the European colonization of North America during the XIX century, the Neolithic transition in Europe from 13,000 to 5,000 years before present, ...

We derive an analytic expression for the bias, to O(n) of the maximum likelihood estimator of the scale parameter in the half-logistic distribution. Using this expression to bias-correct the estimator is shown to be very effective in terms of bias reduction, without adverse consequences for the estimator’s precision. The analytic bias-corrected estimator is also shown to be dramatically superio...