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Evolutionary time-frequency analysis
Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512), 2002Adapted waveform analysis uses libraries of bases and an efficient functional to match a basis to a given signal or family of signals. In particular, wavelet packets and localized trigonometric functions support the expansion of waveforms in bases whose elements have good time-frequency localization properties.
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Ultradistributions and Time-Frequency Analysis
2006The aim of the paper is to show the connection between the theory of ultradistributions and time-frequency analysis. This is done through time-frequency representations and modulation spaces. Furthermore, some classes of pseudo-differential operators are observed.
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Landscapes of Time-Frequency Analysis
2020This contributed volume features chapters based on talks given at the second international conference titled Aspects of Time-Frequency Analysis (ATFA 19), held at Politecnico di Torino from June 25th to June 27th, 2019. Written by experts in harmonic analysis and its applications, these chapters provide a valuable overview of the state-of-the-art of ...
Boggiatto P. +8 more
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Parallel time-frequency analysis
International Conference on Acoustics, Speech, and Signal Processing, 2003Conventional time-frequency analysis methods are generally too computationally intensive for real-time implementation. A relatively new method based on a dynamic state-space model is inherently a real-time method and can be implemented in parallel processing.
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Practical Time-Frequency Analysis
1998The purpose of the book is to give a self-contained presentation of the techniques of time-frequency/time-scale analysis of 1-D signals and provide a set of useful tools to perform the analyses. Such a package should be especially attractive to the part of the scientific community interested in mathematical and practical issues, especially if they ...
Carmona, René +2 more
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2017
Signals are in general nonstationary. A complete representation of nonstationary signals requires frequency analysis that is local in time, resulting in the time-frequency analysis of signals. The Fourier transform analysis has long been recognized as the great tool for the study of stationary signals and processes where the properties are ...
Lokenath Debnath, Firdous A. Shah
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Signals are in general nonstationary. A complete representation of nonstationary signals requires frequency analysis that is local in time, resulting in the time-frequency analysis of signals. The Fourier transform analysis has long been recognized as the great tool for the study of stationary signals and processes where the properties are ...
Lokenath Debnath, Firdous A. Shah
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Time-frequency clustering and discriminant analysis
Statistics & Probability Letters, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Time-Frequency Analysis of Pseudodifferential Operators
Monatshefte f�r Mathematik, 2001We apply a time-frequency approach to the study of pseudodifferential operators. Both the Weyl and the Kohn-Nirenberg correspondences are considered. In order to quantify the time-frequency content of a function or distribution, we use certain function spaces called modulation spaces. We deduce a time-frequency characterization of the twisted product \(
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Linear Time-Frequency Analysis
2015This chapter presents a thorough discussion of the windowed Fourier transform and wavelet transform, their implementation, properties and related issues, providing all the information that is needed to understand them and apply them effectively.
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