APPLICATIONS OF SIGNAL ANALYSIS USING AUTOREGRESSIVE MODELS FOR AMPLITUDE MODULATION
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The paper argues on examples of selected past works that stochastic and knowledge-based approaches do not contradict each other. Frequency resolution of human hearing is decreasing with increasing frequency. Spectral basis designed for optimal discriminati ...
In this paper, we present new dynamic features derived from the modulation spectrum of the cepstral traje ctories of the speech signal. Cepstral trajectories are projected over the basis of sines and cosines yie lding the cepstral modulation frequency resp ...
Autoregressive modeling is applied for approximating the temporal evolution of spectral density in critical-band-sized sub-bands of a segment of speech signal. The generalized autocorrelation linear predictive technique allows for a compromise between fitt ...
Neoclassical tearing modes are driven by the reduction of bootstrap current inside the island due to the flattening of the pressure profile. This current perturbation enhances the magnetic perturbation responsible for the island formation. Therefore it is ...
OFDM is a widely recognized and standardized modulation scheme for future high bit rate communications. Implementation of OFDM-based systems suffers from inphase-quadrature phase (IQ) imbalances in the front-end analog processing. The IQ imbalances can sev ...
In this paper, we present new dynamic features derived from the modulation spectrum of the cepstral traje ctories of the speech signal. Cepstral trajectories are projected over the basis of sines and cosines yie lding the cepstral modulation frequency resp ...
In the first part, a fast and accurate method to compute the harmonic spectra of PWM modulators is presented. This method allows to compute all measurements based on the harmonics values such as the THD or FWTHD. It is especially advantageous for multileve ...
Autoregressive modeling is applied for approximating the temporal evolution of spectral density in critical-band-sized sub-bands of a segment of speech signal. The generalized autocorrelation linear predictive technique allows for a compromise between fitt ...
The structure of a crystal of Sr0.61Ba0.39Nb2O6 has been solved and refined as an incommensurate structure in five-dimensional superspace. The structure is tetragonal, superspace group P4bm(pp1/2; p-p1/2), unit-cell parameters a = 12.4566 (9), c = 7.8698 ( ...
The paper presents a work-in-progress on several emerging concepts in Automatic Speech Recognition (ASR), that are being currently studied at IDIAP. This work can be roughly categorized into three categories: 1) data-guided features, 2) features based on m ...