Results 121 to 130 of about 2,995,639 (168)
Some of the next articles are maybe not open access.
Time-frequency distributions-a review
Proceedings of the IEEE, 1989A review and tutorial of the fundamental ideas and methods of joint time-frequency distributions is presented. The objective of the field is to describe how the spectral content of a signal changes in time and to develop the physical and mathematical ideas needed to understand what a time-varying spectrum is.
Leon Cohen
exaly +2 more sources
A method for time-frequency analysis
IEEE Transactions on Signal Processing, 1994A method for time-frequency signal analysis is presented. The proposed method belongs to the general class of smoothed pseudo Wigner distributions. It is derived from the analysis of the Wigner distribution defined in the frequency domain. This method provides some substantial advantages over the Wigner distribution.
Ljubisa Stanković
exaly +2 more sources
IEEE Transactions on Signal Processing, 1999
Summary: We introduce a new measure \(H_p\) related to the Heisenberg uncertainty principle. The measure predicts the compactness of discrete-time signal descriptions in the sample-frequency phase plane. We conjecture a lower limit on the compaction in the phase plane and show that discretized Gaussians may not provide the most compact basis.
Victor E. DeBrunner +2 more
openaire +2 more sources
Summary: We introduce a new measure \(H_p\) related to the Heisenberg uncertainty principle. The measure predicts the compactness of discrete-time signal descriptions in the sample-frequency phase plane. We conjecture a lower limit on the compaction in the phase plane and show that discretized Gaussians may not provide the most compact basis.
Victor E. DeBrunner +2 more
openaire +2 more sources
IEEE Signal Processing Letters, 1999
A new method for the estimation of the signal subspace and noise subspace based on time-frequency signal representations is introduced. The proposed approach consists of the joint block-diagonalization (JBD) of a set of spatial time-frequency distribution matrices.
Adel Belouchrani, Moeness G. Amin
openaire +1 more source
A new method for the estimation of the signal subspace and noise subspace based on time-frequency signal representations is introduced. The proposed approach consists of the joint block-diagonalization (JBD) of a set of spatial time-frequency distribution matrices.
Adel Belouchrani, Moeness G. Amin
openaire +1 more source
Time-frequency projection filters and time-frequency signal expansions
IEEE Transactions on Signal Processing, 1994We consider the problems of designing a linear, time-varying filter with a specified "time-frequency (TF) pass region" and of constructing an orthonormal basis for the parsimonious expansion of signals located in a given TF support region. These problems of TF filtering and TF signal expansion are reduced to the problem of designing a "TF subspace", i ...
Franz Hlawatsch, Werner Kozek
openaire +1 more source
Journal of Econometric Methods, 2020
Abstract Wavelet analysis is widely used to trace macroeconomic and financial phenomena in time–frequency domains. However, existing wavelet measures diverge from conventional regression estimators. Furthermore, a direct comparison between wavelet and traditional regression analyses is difficult. In this study, we
openaire +2 more sources
Abstract Wavelet analysis is widely used to trace macroeconomic and financial phenomena in time–frequency domains. However, existing wavelet measures diverge from conventional regression estimators. Furthermore, a direct comparison between wavelet and traditional regression analyses is difficult. In this study, we
openaire +2 more sources
Time-Frequency Filtering Based on Model Fitting in the Time-Frequency Plane
IEEE Signal Processing Letters, 2019The modulus of time-frequency representations, like the short-time Fourier or wavelet transforms, of a multicomponent signal exhibit ridges from which one usually computes estimations of the instantaneous frequencies of the modes making up the signal. But, due to the finite frequency resolution, the estimations thus obtained are piecewise constant. Our
Marcelo Alejandro Colominas +2 more
openaire +3 more sources
Consistent time-frequency representations
2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)., 2004The paper develops nonnegative, high-resolution time-frequency representations (TFRs) that correspond with intuitive notions of energy distribution. These so-called consistent TFRs require the desired representation to be consistent with a set of spectrogram-based energy measurements.
David S. Roberts, Douglas L. Jones
openaire +1 more source
The beginning of time-frequency analysis
The Journal of the Acoustical Society of America, 2022The Reflections series takes a look back on historical articles from The Journal of the Acoustical Society of America that have had a significant impact on the science and practice of acoustics.
openaire +2 more sources