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Spinal Cord MRI (SC-MRI) is a challenging research field with numerous important clinical and basic research applications. Some of the SC-MRI applications strongly need to deal with a well straightened spinal cord either for appropriate methodological developments, for better visualization or diagnostic purposes. In this article, we develop an efficient and automatic method to straighten the spinal...
This paper deals with the voiced/unvoiced segmentation of natural speech signals and, inside the voiced intervals of these signals, with the determination of the fundamental frequency f0. Our primary motivation of developing the method presented in this paper is to obtain precise f0 information, this both in terms of frequency for relatively fast evolving events, and in terms of time location of these...
This paper proposes a voiced - unvoiced measure based on the Analytic Signal computation. This voiced - unvoiced feature can be useful for many speech processing applications. For instance, considering speech recognition, it could be incorporated into commonly used acoustic feature vectors, such as for example the Mel Frequency Cepstral Coefficients (MFCC) and their first two derivatives, in order...
High angular resolution MRI such as q-ball imaging (QBI) allows to recover complex white matter architecture. We applied this technique to an ex vivo spinal cord of one cat using a 3T scanner, 100 directions and b-values varying from 1000 to 3000 s/mm2. As a result, QBI can retrieve crossing fibre information, where the diffusion tensor imaging approach is constrained to a single diffusion direction...
This paper proposes to apply optimized one-class support vector machines (1-SVMs) as a discriminative framework in order to address a specific audio classification problem. First, since SVM-based classifier with gaussian RBF kernel is sensitive to the kernel width, the width will be scaled in a distribution-dependent way permitting to avoid under-fitting and over-fitting problems. Moreover, an advanced...
Magnetic resonance diffusion tensor imaging (DTI) of the spinal cord is challenging because of the cord's thin structure and the presence of physiological and susceptibility artifacts. To circumvent these issues, we developed a methodology for imaging the thoraco-lumbar spinal cord of cats at 3 T using single-shot spin-echo echo planar imaging (ss-SE-EPI). The proposed method could potentially be...
Functional magnetic resonance imaging (fMRI) of the spinal cord produces dataset that are particularly noisy because of cardiac-related motions. Realignment methods allowing subject motion correction might be sensitive to such noisy dataset. By realigning and quantifying cardiac variance on spinal dataset, we showed that such procedures decrease cardiac noise within the volumes. This has a direct...
The consumption behavior provokes frequency deviations that are controlled by power plants contributions to ancillary services. The trip of an important power generator obliges the transmission grid operator to buy energy through the balancing mechanism. Having real-time information about generation unit trips is also interesting for power producers. This kind of hints allows them to quantify the...
Like other silicon integrated circuit (IC) domains, the smart card market is very competitive and main actors are constantly trying to design the cheapest and safest circuits to ensure their consumers' satisfaction. These specificities lead smart cards actors to design standard cell-based tamper resistant ICs and to characterize their circuits1 sensitivity. In this paper, we present some experimental...
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