Results 251 to 260 of about 4,476,448 (287)

Fundamental frequency determination based on instantaneous frequency estimation

Signal Processing, 1995
Abstract For certain types of speech coding algorithms, it is important to determine accurately the pitch period or the fundamental frequency of the speech signals. A new fundamental frequency determination method based on the instantaneous frequency estimation is presented in this paper.
Lunji Qiu, Haiyun Yang, Soo-Ngee Koh
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Instantaneous frequency estimation by using time-frequency distributions

2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221), 2002
Estimation of the instantaneous frequency by using quadratic distributions from the general Cohen class is analyzed. Frequency modulated signals corrupted with a white stationary noise are considered. An expression for the variance is derived. It is shown that the variance is closely related to the non-noisy distribution of a predefined signal.
Vladimir Ivanovic, Milos Dakovic, Igor Djurovic, Ljubisa Stankovic   +3 more
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Nonparametric estimation of instantaneous frequency

IEEE Transactions on Information Theory, 1997
Summary: The local polynomial approximation of time-varying phase is used in order to estimate the instantaneous frequency and its derivatives for a complex-valued harmonic signal given by discrete-time observations with a noise. The considered estimators are high-order nonparametric generalizations of the short-time Fourier transform and the Wigner ...
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Time–frequency distribution spectral polynomials for instantanous frequency estimation

Signal Processing, 1999
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chenshu Wang, Moeness G. Amin
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A WD-RANSAC Instantaneous Frequency Estimator

IEEE Signal Processing Letters, 2016
A Wigner distribution-based random sample consensus (RANSAC) algorithm for the instantaneous frequency estimation is proposed. The algorithm performance is studied for several signal types and compared with the state-of-the-art Viterbi algorithm in both accuracy and complexity.
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Seismic Attenuation Estimation From Instantaneous Frequency

IEEE Geoscience and Remote Sensing Letters, 2010
An approach is proposed for quality (Q) factor estimation from the variation of envelope peak instantaneous frequency (EPIF). For a frequency-independent Q model, assuming that the propagating wavelet can be modeled by a Gaussian function with constant phase, an approximate analytic relation between Q and EPIF variation is derived. Synthetic tests show
Senlin Yang, Jinghuai Gao
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A Doppler frequency estimate using the instantaneous frequency

Proceedings of 13th International Conference on Digital Signal Processing, 2002
In the preamble it is shown that, under a quasi-stationarity assumption of the multi-component Doppler signal. The assimilation of the Doppler frequency to the mean instantaneous frequency is consistent. Basically, this frequency can be estimated from the first moment of a quadratic time-frequency distribution.
J. Crestel, B. Emile, M. Guitton, D. Menard   +3 more
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On the S-method based instantaneous frequency estimation

Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings., 2003
The performance analysis of the S-method (SM) as an instantaneous frequency (IF) estimator, for the case of multicomponent signals, is derived. It has been shown that, when the components are separated in time-frequency (TF) plane, the results obtained for each of them separately can be the same as in the case when all components exist.
Milos Dakovic, Veselin N. Ivanovic, Ljubisa Stankovic   +2 more
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Sequential MCMC Estimation of Nonlinear Instantaneous Frequency

2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07, 2007
Instantaneous frequency (IF) estimation of signals with nonlinear phase is challenging, especially for online processing. In this paper, we propose IF estimation using sequential Bayesian techniques, by combining the particle filtering method with the Markov chain Monte Carlo (MCMC) method.
Ying Li, Donna Simon, Antonia Papandreou-Suppappola, Darryl Morrell, Robin L. Murray   +4 more
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Instantaneous frequency estimation based on the robust spectrogram

2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221), 2002
The robust M-periodogram is defined for the analysis of signals with heavy-tailed distribution noise. In the form of a robust spectrogram (RSPEC) it can be used for the analysis of nonstationary signals. A RSPEC-based instantaneous frequency (IF) estimator, with a time-varying window length, is presented.
Igor Djurovic, Vladimir Katkovnik, Ljubisa Stankovic   +2 more
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