نتایج جستجو برای: reconstructed phase space

تعداد نتایج: 1081890  

2002
Jinjin Ye Richard J. Povinelli Michael T. Johnson

A novel method for classifying speech phonemes is presented. Unlike traditional cepstral based methods, this approach uses histograms of reconstructed phase spaces. A Naïve Bayes classifier uses the probability mass estimates for classification. The approach is verified using isolated fricative, vowel, and nasal phonemes from the TIMIT corpus. The results show that a reconstructed phase space a...

Journal: :dental research journal 0
pouran samimi mohammad-reza shirban farahnaz arbabzadeh-zavareh

the :union: of two different dental sprouts which can happen in any phase of dental development is commonly called fusion. this developmental anomaly may cause clinical problems including esthetic impairment, which are mainly treated by endodontic and surgical treatments. there are a few reports of conservative not invasive treatment of fused incisors teeth through restorative or prosthetic tec...

Journal: :Speech Communication 2006
Kevin M. Indrebo Richard J. Povinelli Michael T. Johnson

A novel method combining filter banks and reconstructed phase spaces is proposed for the modeling and classification of speech. Reconstructed phase spaces, which are based on dynamical systems theory, have advantages over spectral-based analysis methods in that they can capture nonlinear or higher-order statistics. Recent work has shown that the natural measure of a reconstructed phase space ca...

2003
Jinjin Ye Michael T. Johnson Richard J. Povinelli

Although isolated phoneme classification using features from time-domain phase space reconstruction has been investigated recently, the best representation of feature vectors for the discriminability over phoneme classes is still an open question. This paper applies Principal Component Analysis (PCA) to feature vectors from the reconstructed phase space. By using PCA projection, the basis of th...

2015
G. Aswini A. R. Ashok Kumar D. Durai kumar

Characteristic and prediction of the events are essential in many applications, such as forecasting economic growth, financial decision making etc. This can be done by processing the temporal patterns which are observed event data sequence often closely related to certain time-ordered structures. Among several existing method reconstructed phase space work well but only for univariate data sequ...

2008
Kunitaka Kondo

The dynamical likelihood method for analysis of high energy collider events is reformulated. The method is to reconstruct the elementary parton state from observed quantities. The basic assumption is that each of final state partons occupies a unit phase space. The parton kinematics is statistically reconstructed using (a) virtual masses of resonant partons and (b) parton kinematic quantities i...

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