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Time-frequency correlation analysis
International Forum on Strategic Technology 2010, 2010This article introduces time-frequency correlation function. This function allows determine relationship at different frequencies between two input signals. Using time-frequency correlation function makes correlation leakage detection method more effective and accurate in complex condition with high background noise without necessary of using frequency
V.S. Avramchuks, null Tran Viet Chau
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Time-Frequency Analysis of Musical Instruments
SIAM Review, 2002Summary: This paper describes several approaches to analyzing the frequency, or pitch, content of the sounds produced by musical instruments. The classic method, using Fourier analysis, identifies fundamentals and overtones of individual notes. A second method, using spectrograms, analyzes the changes in fundamentals and overtones over time as several ...
Alm, Jeremy F., Walker, James S.
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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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Covariant Time-Frequency Analysis
2003We present a theory of linear and bilinear/quadratic time-frequency (TF) representations that satisfy a covariance property with respect to “TF displacement operators” These operators cause TF displacements such as (possibly dispersive) TF shifts and dilations/compressions.
Franz Hlawatsch +2 more
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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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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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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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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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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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