Zobrazeno 1 - 10
of 170
pro vyhledávání: '"Bruno Torrésani"'
Wavelet analysis has gained recognition as a useful tool for analyzing time-frequency, and is playing an important role in signal and information processing. Wavelet analysis is not only based on a bright new idea, but also on concepts that already e
Autor:
Stephane Jaffard, Ching Yee Suen, John Daugman, Victor Wickerhauser, Bruno Torresani, John Yen, Ning Zhong, Sankar Kumar Pal
Wavelet analysis and its applications have been one of the fastest growing research areas in the past several years. Wavelet theory has been employed in numerous fields and applications, such as signal and image processing, communication systems, bio
Autor:
John Daugman, Victor Wickerhauser, Bruno Torresani, John Yen, Ning Zhong, Sankar Kumar Pal, Yuan Yan Tang, Jiming Liu, Xiuwen Yang
Wavelet analysis and its applications have been one of the fastest-growing research areas in the past several years. Wavelet theory has been employed in numerous fields and applications, such as signal and image processing, communication systems, bio
Publikováno v:
Theoretical Physics, Wavelets, Analysis, Genomics ISBN: 9783030458461
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aca316f5c79afb9de308559816d2e86c
https://doi.org/10.1007/978-3-030-45847-8_26
https://doi.org/10.1007/978-3-030-45847-8_26
Autor:
Bruno Torrésani
Ce livre est une introduction à l'analyse des signaux par la technique des ondelettes, méthode qui permet souvent de faire mieux ressortir les caractéristiques des signaux que la traditionnelle décomposition en série de Fourier. Les premiers cha
Time frequency analysis has been the object of intense research activity in the last decade. This book gives a self-contained account of methods recently introduced to analyze mathematical functions and signals simultaneously in terms of time and fre
Publikováno v:
IEEE Journal of Selected Topics in Signal Processing
IEEE Journal of Selected Topics in Signal Processing, IEEE, 2021, 15 (1), ⟨10.1109/JSTSP.2020.3045938⟩
IEEE Journal of Selected Topics in Signal Processing, 2021, 15 (1), pp.65-77. ⟨10.1109/JSTSP.2020.3045938⟩
IEEE Journal of Selected Topics in Signal Processing, IEEE, 2021, 15 (1), pp.65-77. ⟨10.1109/JSTSP.2020.3045938⟩
IEEE Journal of Selected Topics in Signal Processing, IEEE, 2021, 15 (1), ⟨10.1109/JSTSP.2020.3045938⟩
IEEE Journal of Selected Topics in Signal Processing, 2021, 15 (1), pp.65-77. ⟨10.1109/JSTSP.2020.3045938⟩
IEEE Journal of Selected Topics in Signal Processing, IEEE, 2021, 15 (1), pp.65-77. ⟨10.1109/JSTSP.2020.3045938⟩
International audience; In this paper, we address a particular instance of time-frequency filter design, which we call Time-Frequency Fading (TFF). In TFF the only available information concerns the time-frequency localization of the component to be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eaff5a01ec2c5160c93e4be26f918c9e
https://hal.archives-ouvertes.fr/hal-02861427/file/JSTSP_MK_VE_CC_BT_2020.pdf
https://hal.archives-ouvertes.fr/hal-02861427/file/JSTSP_MK_VE_CC_BT_2020.pdf
Publikováno v:
HAL
One of the fundamental techniques of biology is sequence alignment, namely transforming one sequence into another with minimal change. Sequence alignment is essential for evolutionary studies and is a source of information for the analysis of the phy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::038bead7cc74c6ba4b807362fe0865a7
https://hal.archives-ouvertes.fr/hal-03264944
https://hal.archives-ouvertes.fr/hal-03264944
Over the course of a scientific career spanning more than fifty years, Alex Grossmann (1930-2019) made many important contributions to a wide range of areas including, among others, mathematics, numerical analysis, physics, genetics, and biology. His
Autor:
Bruno Torrésani, Adrien Meynard
Publikováno v:
2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2020, Barcelona, Spain. pp.5820-5824, ⟨10.1109/ICASSP40776.2020.9053069⟩
ICASSP
2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2020, Barcelona, Spain. pp.5820-5824, ⟨10.1109/ICASSP40776.2020.9053069⟩
ICASSP
International audience; We develop a time-scale synthesis-based probabilistic approach for the modeling of locally stationary signals. Inspired by our previous work, the model involves zero-mean, complex Gaussian wavelet coefficients, whose distribut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1eb65a3c3b16d1fb7ff62420a09c7c47
https://hal.science/hal-02469842
https://hal.science/hal-02469842