The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Patrick Flandrin - One of the best experts on this subject based on the ideXlab platform.
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chirp rate and instantaneous frequency estimation application to recursive vertical synchrosqueezing
IEEE Signal Processing Letters, 2017Co-Authors: Dominique Fourer, Francois Auger, Krzysztof Czarnecki, Sylvain Meignen, Patrick FlandrinAbstract:This letter introduces new chirp rate and instantaneous frequency estimators designed for frequency-modulated signals. These estimators are first investigated from a deterministic point of view, then compared together in terms of statistical efficiency. They are also used to design new recursive versions of the vertically synchrosqueezed short-Time Fourier transform, using a previously published method (D. Fourer, F. Auger, and P. Flandrin, “Recursive versions of the Levenberg-Marquardt reassigned spectrogram and of the synchrosqueezed STFT,” in Proc. IEEE Int. Conf. Acoust., Speech Signal Process. , Mar. 2016, pp. 4880–4884). This study paves the way to the Real-Time Computation of a Time-frequency representation, which is both invertible and sharply localized in frequency.
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chirp rate and instantaneous frequency estimation application to recursive vertical synchrosqueezing
IEEE Signal Processing Letters, 2017Co-Authors: Dominique Fourer, Francois Auger, Krzysztof Czarnecki, Sylvain Meignen, Patrick FlandrinAbstract:This letter introduces new chirp rate and instantaneous frequency estimators designed for frequency-modulated signals. These estimators are first investigated from a deterministic point of view, then compared together in terms of statistical efficiency. They are also used to design new recursive versions of the vertically synchrosqueezed short-Time Fourier transform, using a previously published method (D. Fourer, F. Auger, and P. Flandrin, “Recursive versions of the Levenberg-Marquardt reassigned spectrogram and of the synchrosqueezed STFT,” in Proc. IEEE Int. Conf. Acoust., Speech Signal Process. , Mar. 2016, pp. 4880–4884). This study paves the way to the Real-Time Computation of a Time-frequency representation, which is both invertible and sharply localized in frequency.
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recursive versions of the levenberg marquardt reassigned spectrogram and of the synchrosqueezed stft
International Conference on Acoustics Speech and Signal Processing, 2016Co-Authors: Dominique Fourer, Francois Auger, Patrick FlandrinAbstract:In this paper, we first present a recursive implementation of a recently proposed reassignment process called the Levenberg Marquardt reassignment, which allows a user to adjust the slimness of the signal components localization in the Time-frequency plane. Thanks to a generalization of the signal reconstruction formula, we also present a recursive implementation of the synchrosqueezed short-Time Fourier transform. This approach paves the way for a Real-Time Computation of a reversible and adjustable almost-ideal Time-frequency representation.
Dominique Fourer - One of the best experts on this subject based on the ideXlab platform.
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recursive versions of the reassigned scalogram anc of the synchrosqueezed wavelet transform
International Conference on Digital Signal Processing, 2017Co-Authors: Dominique Fourer, Francois AugerAbstract:This paper introduces a new class of mother wavelet functions, based on a specific analysis window which allows a recursive implementation of the Continuous Wavelet Transform (CWT). Using this new transform, we propose to compute a sharpened Time-frequency representation by rewording the reassigned scalogram and the (first and second-order) synchrosqueezed CWT. We also propose an extension of the CWT reassignment operators, using the Levenberg-Marquardt algorithm, which can control the energy concentration of a reassigned scalogram through a damping parameter. Thus, our methods provide tools which pave the way of the Real-Time Computation of reversible and almost-ideal Time-frequency representations.
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chirp rate and instantaneous frequency estimation application to recursive vertical synchrosqueezing
IEEE Signal Processing Letters, 2017Co-Authors: Dominique Fourer, Francois Auger, Krzysztof Czarnecki, Sylvain Meignen, Patrick FlandrinAbstract:This letter introduces new chirp rate and instantaneous frequency estimators designed for frequency-modulated signals. These estimators are first investigated from a deterministic point of view, then compared together in terms of statistical efficiency. They are also used to design new recursive versions of the vertically synchrosqueezed short-Time Fourier transform, using a previously published method (D. Fourer, F. Auger, and P. Flandrin, “Recursive versions of the Levenberg-Marquardt reassigned spectrogram and of the synchrosqueezed STFT,” in Proc. IEEE Int. Conf. Acoust., Speech Signal Process. , Mar. 2016, pp. 4880–4884). This study paves the way to the Real-Time Computation of a Time-frequency representation, which is both invertible and sharply localized in frequency.
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chirp rate and instantaneous frequency estimation application to recursive vertical synchrosqueezing
IEEE Signal Processing Letters, 2017Co-Authors: Dominique Fourer, Francois Auger, Krzysztof Czarnecki, Sylvain Meignen, Patrick FlandrinAbstract:This letter introduces new chirp rate and instantaneous frequency estimators designed for frequency-modulated signals. These estimators are first investigated from a deterministic point of view, then compared together in terms of statistical efficiency. They are also used to design new recursive versions of the vertically synchrosqueezed short-Time Fourier transform, using a previously published method (D. Fourer, F. Auger, and P. Flandrin, “Recursive versions of the Levenberg-Marquardt reassigned spectrogram and of the synchrosqueezed STFT,” in Proc. IEEE Int. Conf. Acoust., Speech Signal Process. , Mar. 2016, pp. 4880–4884). This study paves the way to the Real-Time Computation of a Time-frequency representation, which is both invertible and sharply localized in frequency.
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recursive versions of the levenberg marquardt reassigned spectrogram and of the synchrosqueezed stft
International Conference on Acoustics Speech and Signal Processing, 2016Co-Authors: Dominique Fourer, Francois Auger, Patrick FlandrinAbstract:In this paper, we first present a recursive implementation of a recently proposed reassignment process called the Levenberg Marquardt reassignment, which allows a user to adjust the slimness of the signal components localization in the Time-frequency plane. Thanks to a generalization of the signal reconstruction formula, we also present a recursive implementation of the synchrosqueezed short-Time Fourier transform. This approach paves the way for a Real-Time Computation of a reversible and adjustable almost-ideal Time-frequency representation.
Francois Auger - One of the best experts on this subject based on the ideXlab platform.
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recursive versions of the reassigned scalogram anc of the synchrosqueezed wavelet transform
International Conference on Digital Signal Processing, 2017Co-Authors: Dominique Fourer, Francois AugerAbstract:This paper introduces a new class of mother wavelet functions, based on a specific analysis window which allows a recursive implementation of the Continuous Wavelet Transform (CWT). Using this new transform, we propose to compute a sharpened Time-frequency representation by rewording the reassigned scalogram and the (first and second-order) synchrosqueezed CWT. We also propose an extension of the CWT reassignment operators, using the Levenberg-Marquardt algorithm, which can control the energy concentration of a reassigned scalogram through a damping parameter. Thus, our methods provide tools which pave the way of the Real-Time Computation of reversible and almost-ideal Time-frequency representations.
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chirp rate and instantaneous frequency estimation application to recursive vertical synchrosqueezing
IEEE Signal Processing Letters, 2017Co-Authors: Dominique Fourer, Francois Auger, Krzysztof Czarnecki, Sylvain Meignen, Patrick FlandrinAbstract:This letter introduces new chirp rate and instantaneous frequency estimators designed for frequency-modulated signals. These estimators are first investigated from a deterministic point of view, then compared together in terms of statistical efficiency. They are also used to design new recursive versions of the vertically synchrosqueezed short-Time Fourier transform, using a previously published method (D. Fourer, F. Auger, and P. Flandrin, “Recursive versions of the Levenberg-Marquardt reassigned spectrogram and of the synchrosqueezed STFT,” in Proc. IEEE Int. Conf. Acoust., Speech Signal Process. , Mar. 2016, pp. 4880–4884). This study paves the way to the Real-Time Computation of a Time-frequency representation, which is both invertible and sharply localized in frequency.
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chirp rate and instantaneous frequency estimation application to recursive vertical synchrosqueezing
IEEE Signal Processing Letters, 2017Co-Authors: Dominique Fourer, Francois Auger, Krzysztof Czarnecki, Sylvain Meignen, Patrick FlandrinAbstract:This letter introduces new chirp rate and instantaneous frequency estimators designed for frequency-modulated signals. These estimators are first investigated from a deterministic point of view, then compared together in terms of statistical efficiency. They are also used to design new recursive versions of the vertically synchrosqueezed short-Time Fourier transform, using a previously published method (D. Fourer, F. Auger, and P. Flandrin, “Recursive versions of the Levenberg-Marquardt reassigned spectrogram and of the synchrosqueezed STFT,” in Proc. IEEE Int. Conf. Acoust., Speech Signal Process. , Mar. 2016, pp. 4880–4884). This study paves the way to the Real-Time Computation of a Time-frequency representation, which is both invertible and sharply localized in frequency.
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recursive versions of the levenberg marquardt reassigned spectrogram and of the synchrosqueezed stft
International Conference on Acoustics Speech and Signal Processing, 2016Co-Authors: Dominique Fourer, Francois Auger, Patrick FlandrinAbstract:In this paper, we first present a recursive implementation of a recently proposed reassignment process called the Levenberg Marquardt reassignment, which allows a user to adjust the slimness of the signal components localization in the Time-frequency plane. Thanks to a generalization of the signal reconstruction formula, we also present a recursive implementation of the synchrosqueezed short-Time Fourier transform. This approach paves the way for a Real-Time Computation of a reversible and adjustable almost-ideal Time-frequency representation.
Tudor Nicosevici - One of the best experts on this subject based on the ideXlab platform.
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vision based localization of an underwater robot in a structured environment
International Conference on Robotics and Automation, 2003Co-Authors: Marc Carreras, Pere Ridao, Rafael Garcia, Tudor NicoseviciAbstract:This paper presents a vision-based localization approach for an underwater robot in a structured environment. The system is based on a coded pattern placed on the bottom of a water tank and an onboard down looking camera. Main features are, absolute and map-based localization, landmark detection and tracking, and Real-Time Computation (12.5 Hz). The proposed system provides three-dimensional position and orientation of the vehicle along with its velocity. Accuracy of the drift-free estimates is very high, allowing them to be used as feedback measures of a velocity-based low-level controller. The paper details the localization algorithm, by showing some graphical results, and the accuracy of the system.
Po Chen - One of the best experts on this subject based on the ideXlab platform.
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Rapid 3D Seismic Source Inversion Using Windows Azure and Amazon EC2
2011 IEEE World Congress on Services, 2011Co-Authors: Vedaprakash Subramanian, Liqiang Wang, Po ChenAbstract:With its rapid development, cloud computing has been increasingly adopted by scientists for large-scale scientific Computation. Compared to the traditional computing platforms such as cluster and supercomputer, cloud computing is more elastic in the support of Real-Time Computation and more powerful in the management of large-scale datasets. This paper presents our experience on designing and implementing seismic source inversion on both cluster (specifically, MPI-based) and cloud computing (specifically, Amazon EC2 and Microsoft Windows Azure). Our experiment shows that applying cloud computing to seismic source inversion is feasible and has its advantages. In addition, we notice that both cluster and Amazon EC2 have obviously better performance than Windows Azure. Cloud computing is suited for Real-Time processing scientific applications but it (especially Azure) does not work well for tightly-coupled applications.
