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Kewei Ouyang, Yi Hou, Shilin Zhou and Ye Zhang
Recently, some researchers adopted the convolutional neural network (CNN) for time series classification (TSC) and have achieved better performance than most hand-crafted methods in the University of California, Riverside (UCR) archive. The secret to the...
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Fenxiang Wu, Zongxin Zhang, Xiaojun Yang, Jiabing Hu, Yi Xu and Yuxin Leng
Pulse front distortion occurring in lenses can broaden the temporal profile of the pulse at focus and therefore decrease the focused intensity, especially for large-aperture femtosecond lasers. A previously proposed self-reference cross correlator was im...
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Shingchern D. You and Ming-Jen Hung
This paper studies the use of three different approaches to reduce the dimensionality of a type of spectral?temporal features, called motion picture expert group (MPEG)-7 audio signature descriptors (ASD). The studied approaches include principal compone...
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Santiago Pascual, Joan Serrà and Antonio Bonafonte
Conversion from text to speech relies on the accurate mapping from linguistic to acoustic symbol sequences, for which current practice employs recurrent statistical models such as recurrent neural networks. Despite the good performance of such models (in...
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Novita Astin, I Gede Puja Astawa, Amang Sudarsono
Pág. 291 - 307
This paper presents about the transmission of Digital Video Broadcasting system with streaming video resolution 640x480 on different IQ rate and modulation. In the video transmission, distortion often occurs, so the received video has bad quality. Key fr...
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Francisco Sacristan Romero
La Teledetección ofrece grandes posibilidades para la realización de progresos en el conocimiento de la naturaleza, aunque todavía no se ha logrado todo lo que de ella se esperaba debido a que se deben realizar perfeccionamientos en el nivel de resolució...
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