We propose in this paper a feature extraction method to extract brain wave features from electroencephalography (EEG) signal. The proposed feature extraction method is based on an assumption that EEG signal could be considered as stationary if the time window is sufficiently short. With this assumption, EEG signal has some similar properties to speech signal and hence a feature extraction metho...

Amusical-tone generator based on physical modeling of the sound production mechanisms is presented. To the purpose of making this scheme general for a wide class of musical instruments, the nonlinear part of the tone-generator is modeled by a neural network. The system learns its parameters and the nonlinearity shape by means of nonlinear identication procedures based on waveform or spectral ma...

This paper proposes a method of identi cation for a discrete-time state-space model set presuming the existence of robust performance control. The model set is described by a nominal model and a parametric uncertainty bound measured with the Frobenius norm. The identi cation problem considered in this paper is to nd a model set which satis es conditions: (i) the model set is consistent with giv...

Studies that seek to evaluate the e¤ects of technology shocks often employ structural VARs identi…ed with long-run restrictions. In the presence of a mismatch between the number of lags the data-generating process involves and the number of lags included in the VAR, estimates based on long-run restrictions can be largely biased. In this paper, I o¤er an alternative method that substantially red...

In recent years there has been increasing concern about the identi…cation of parameters in dynamic stochastic general equilibrium (DSGE) models. Given the structure of DSGE models it may be di¢ cult to determine whether a parameter is identi…ed. For the researcher using Bayesian methods, a lack of identi…cation may not be evident since the posterior of a parameter of interest may di¤er from its...

Requests for reprints should be addressed to Brian MacWhinney, Department of Psychology, Carnegie Mellon University, Pittsburgh, PA 15213, USA. Our thanks to Ferenc Dudás and Miklos Kovács for their assistance in running the experiments and to Károly Halmai for technical assistance. This work was supported by Grant HD17790 from the National Institute of Child Health and Human Developmen t to Br...

For consecutive model-based control design, approximate identication of linear models should be performed on the basis of a feedback-relevant criterion, compatible with the control design. For an H1-norm based control design, a procedure is presented to estimate a possibly unstable and feedback controlled plant by using an H1-norm based feedback-relevant identi cation criterion. It is shown tha...

Hiragana is one of the letters in Japanese. In this study, CNN (Convolutional Neural Network) method used as identication method, while he preprocessing thresholding. Then carry out normalization stage and filtering to remove noise image. At training use maxpooling danse methods a liaison process, wherea testing using Adam Optimizer method. Here, we 1000 images from 50 hiragana characters with ...

Social and economic networks play an important role in shaping individual behaviors. In this paper, we aim to identify and estimate network formation games using observed data on network structure, i.e., who is linked with whom. We use pairwise stability, introduced by Jackson and Wolinsky (1996), as the equilibrium condition to map observed networks to model primitives. Because the fraction of...

This paper analyses the properties of standard estimators, tests, and con…dence sets (CS’s) in a class of models in which the parameters are unidenti…ed or weakly identi…ed in some parts of the parameter space. The paper also introduces a method to make the tests and CS’s robust to such identi…cation problems. The results apply to a class of extremum estimators and corresponding tests and CS’s,...