10 resultados para Re-sampled Uniform
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Iker bilduma = Colección Iker, nº 17
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416 p.
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Estíbaliz Ortiz de Urbina (ed.)
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[EN] This paper is an outcome of the following dissertation:
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47 p.
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La segunda edición de este encuentro vuelve a ser una oportunidad donde coincidir profesionales universitarios, para debatir y repensar la innovación educativa en la universidad. El trabajo sostenido tanto por el grupo Indaga-t de la Universidad de Barcelona, como por el grupo Elkarrikertuz de la Universidad del País Vasco, ha servido para impulsar y dinamizar diferentes redes de innovación y transformación docente. Esta experiencia nos ha llevado a plantear este encuentro en el que intercambiar conocimientos y experiencias con profesionales interesados en promover formas de relación pedagógica que vayan más allá de las novedades coyunturales y de los discursos dominantes. La edición de este libro digital pretende recoger la dinámica del encuentro además de las aportaciones que se hicieron.
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En este trabajo analizo cuáles son los supuestos epistemológicos y ontológicos de las recientes Leyes 3/2007 y 14/2012 en torno a la identidad de género y la transexualidad y cómo éstas forman parte del conjunto de dispositivos de poder y control tecno-biopolítico sobre las vidas de las personas. Comienzo por un recorrido teórico sobre la construcción de la categoría de sexo y género, continúo con los derechos sobre identidad de género y orientación sexual reconocidos a nivel internacional, trazo algunas de las distintas posturas y reivindicaciones de los movimientos sociales, después hago un breve recorrido por distintas normativas en torno al género en el Estado Español desde 1931 y finalmente termino con un análisis de las leyes española 3/2007 y la vasca 14/2012.
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Feature-based vocoders, e.g., STRAIGHT, offer a way to manipulate the perceived characteristics of the speech signal in speech transformation and synthesis. For the harmonic model, which provide excellent perceived quality, features for the amplitude parameters already exist (e.g., Line Spectral Frequencies (LSF), Mel-Frequency Cepstral Coefficients (MFCC)). However, because of the wrapping of the phase parameters, phase features are more difficult to design. To randomize the phase of the harmonic model during synthesis, a voicing feature is commonly used, which distinguishes voiced and unvoiced segments. However, voice production allows smooth transitions between voiced/unvoiced states which makes voicing segmentation sometimes tricky to estimate. In this article, two-phase features are suggested to represent the phase of the harmonic model in a uniform way, without voicing decision. The synthesis quality of the resulting vocoder has been evaluated, using subjective listening tests, in the context of resynthesis, pitch scaling, and Hidden Markov Model (HMM)-based synthesis. The experiments show that the suggested signal model is comparable to STRAIGHT or even better in some scenarios. They also reveal some limitations of the harmonic framework itself in the case of high fundamental frequencies.
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When the in-plane bias magnetic field acting on a flat circular magnetic dot is smaller than the saturation field, there are two stable competing magnetization configurations of the dot: the vortex and the quasi-uniform (C-state). We measured microwave absorption properties in an array of non-interacting permalloy dots in the frequency range 1-8 GHz when the in-plane bias magnetic field was varied in the region of the dot magnetization state bi-stability. We found that the microwave absorption properties in the vortex and quasi-uniform stable states are substantially different, so that switching between these states in a fixed bias field can be used for the development of reconfigurable microwave magnetic materials.
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In multisource industrial scenarios (MSIS) coexist NOAA generating activities with other productive sources of airborne particles, such as parallel processes of manufacturing or electrical and diesel machinery. A distinctive characteristic of MSIS is the spatially complex distribution of aerosol sources, as well as their potential differences in dynamics, due to the feasibility of multi-task configuration at a given time. Thus, the background signal is expected to challenge the aerosol analyzers at a probably wide range of concentrations and size distributions, depending of the multisource configuration at a given time. Monitoring and prediction by using statistical analysis of time series captured by on-line particle analyzers in industrial scenarios, have been proven to be feasible in predicting PNC evolution provided a given quality of net signals (difference between signal at source and background). However the analysis and modelling of non-consistent time series, influenced by low levels of SNR (Signal-Noise Ratio) could build a misleading basis for decision making. In this context, this work explores the use of stochastic models based on ARIMA methodology to monitor and predict exposure values (PNC). The study was carried out in a MSIS where an case study focused on the manufacture of perforated tablets of nano-TiO2 by cold pressing was performed