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Sinusoidal model

In statistics, signal processing, and time series analysis, a sinusoidal model to approximate a sequence Yi is: where C is constant defining a mean… 
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Related topics

Related topics

5 relations
Least squaresLeast-squares spectral analysisSeasonalitySignal processing

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Trajectory Prediction of Surrounding Vehicles Considering Individual Driving Characteristics
We propose a method to predict trajectories of surrounding vehicles considering individual driving characteristics. Trajectory… 
2006
2006
The construction of wavelet network for speech signal processing
Wavelet decomposition reconstructs a signal by a series of scaled and translated wavelets. Incorporating discrete wavelet… 
Highly Cited
2006
Highly Cited
2006
Sinusoidal model-based analysis and classification of stressed speech
In this paper, a sinusoidal model has been proposed for characterization and classification of different stress classes (emotions… 
2006
2006
Clean speech reconstruction from MFCC vectors and fundamental frequency using an integrated front-end
2004
2004
New matching pursuit based sinusoidal modelling method for audio coding
A new method is proposed to improve sinusoidal modelling based on energy-adaptive matching pursuits. To reduce the complexity of… 
2002
2002
Speech enhancement using fourth-order cumulants and optimum filters in the subband domain
1999
1999
On asymptotic behavior of least squares estimators and the confidence intervals of the superimposed exponential signals
1999
1999
Exponential sinusoidal modeling of transitional speech segments
A generalized sinusoidal model for speech signal processing is studied. The main feature of the model is that the amplitude of… 
1998
1998
Multiresolution sinusoidal modeling using adaptive segmentation
  • M. Goodwin
  • Proceedings of the IEEE International Conference…
  • 1998
  • Corpus ID: 2963234
The sinusoidal model has proven useful for representation and modification of speech and audio. One drawback, however, is that a… 
1997
1997
Bayesian estimation of parameters of a damped sinusoidal model by a Markov chain Monte Carlo method
A dynamic Monte Carlo method is proposed to compute the posterior means and covariances of the parameters of a damped sinusoidal… 
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