927 resultados para Error correction coding
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This paper reviews a study to determine if an auditory approach to speech correction can be of beneift to hearing impaired children who have become visually oriented.
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This paper discusses a study done to determine how cochlear implant users perceive speech sounds using MPEAK or SPEAK speech coding strategy.
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El artículo 342 del Código Tributario, al hablar de los elementos constitutivos de los ilícitos tributarios, establece que es necesaria la presencia de dolo o culpa rechazando la responsabilidad objetiva, que si acepta para contravenciones o faltas reglamentarias, es decir la culpabilidad como elemento del delito tributario es reconocida, lo cual lleva a que el artículo 338 del Código Tributario, reconozca al error como una circunstancia que excluye la responsabilidad penal tributaria, pero no existe desarrollo sobre el contenido del precepto. Esta falta de explicación obliga a recurrir al desarrollo que se ha dado sobre el tema por otras ramas del derecho, así se analizan las explicaciones realizadas por el Derecho Constitucional y el Derecho Penal, siendo este último donde más desarrollo se ha dado sobre el tema, sin poder olvidar la importancia de los derechos fundamentales de la persona. La presente tesis busca aportar criterios que sean útiles y aplicables en el campo tributario, para lo cual se tratará los siguientes temas: Derecho Penal Administrativo, naturaleza de las infracciones tributarias: Derecho Penal aplicable al campo tributario, la culpabilidad en Tratados Internacionales sobre derechos humanos, principio de culpabilidad y sus elementos, error como eximente de responsabilidad, límites de la presencia del error y elusión tributaria.
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Esta investigación estudia el rol del juez en el Estado constitucional de derechos y justicia en el Ecuador, el error inexcusable y el procesamiento disciplinario por error judicial inexcusable desde sus principios de legalidad y taxatividad, la etiología del error, el órgano competente y la independencia judicial. Presenta conclusiones y recomendaciones.
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Two wavelet-based control variable transform schemes are described and are used to model some important features of forecast error statistics for use in variational data assimilation. The first is a conventional wavelet scheme and the other is an approximation of it. Their ability to capture the position and scale-dependent aspects of covariance structures is tested in a two-dimensional latitude-height context. This is done by comparing the covariance structures implied by the wavelet schemes with those found from the explicit forecast error covariance matrix, and with a non-wavelet- based covariance scheme used currently in an operational assimilation scheme. Qualitatively, the wavelet-based schemes show potential at modeling forecast error statistics well without giving preference to either position or scale-dependent aspects. The degree of spectral representation can be controlled by changing the number of spectral bands in the schemes, and the least number of bands that achieves adequate results is found for the model domain used. Evidence is found of a trade-off between the localization of features in positional and spectral spaces when the number of bands is changed. By examining implied covariance diagnostics, the wavelet-based schemes are found, on the whole, to give results that are closer to diagnostics found from the explicit matrix than from the nonwavelet scheme. Even though the nature of the covariances has the right qualities in spectral space, variances are found to be too low at some wavenumbers and vertical correlation length scales are found to be too long at most scales. The wavelet schemes are found to be good at resolving variations in position and scale-dependent horizontal length scales, although the length scales reproduced are usually too short. The second of the wavelet-based schemes is often found to be better than the first in some important respects, but, unlike the first, it has no exact inverse transform.
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The impact of systematic model errors on a coupled simulation of the Asian Summer monsoon and its interannual variability is studied. Although the mean monsoon climate is reasonably well captured, systematic errors in the equatorial Pacific mean that the monsoon-ENSO teleconnection is rather poorly represented in the GCM. A system of ocean-surface heat flux adjustments is implemented in the tropical Pacific and Indian Oceans in order to reduce the systematic biases. In this version of the GCM, the monsoon-ENSO teleconnection is better simulated, particularly the lag-lead relationships in which weak monsoons precede the peak of El Nino. In part this is related to changes in the characteristics of El Nino, which has a more realistic evolution in its developing phase. A stronger ENSO amplitude in the new model version also feeds back to further strengthen the teleconnection. These results have important implications for the use of coupled models for seasonal prediction of systems such as the monsoon, and suggest that some form of flux correction may have significant benefits where model systematic error compromises important teleconnections and modes of interannual variability.