The most popular time-frequency analysis tool, the Short-Time Fourier Transform, suffers from blurry harmonic representation when voiced speech undergoes changes in pitch. These relatively fast variations lead to inconsistent bins in frequency domain and cannot be accurately described by the Fourier analysis with high resolution both in time and frequency. In this paper a new analysis tool, cal...

In audio processing applications, phase retrieval (PR) is often performed from the magnitude of short-time Fourier transform (STFT) coefficients. Although PR performance has been observed to depend on considered STFT parameters and data, extent this dependence not systematically evaluated yet. To address this, we studied three algorithms for various types content such as redundancy, time-freque...

The author proposes a computer-graphic animation tool through which the relationship between human motions and subjective impressions can be quantitatively examined. In the system, the three-dimensional human motion was measured with a wireless magnetic motion capture system with a pair of data gloves. The time-series changes of each joint angle were estimated through the measured data, using a...

The main motivation for this project was to study performance of non-linear speech analysis methods in automatic speech recognition. Specifically, we selected wavelet transform as a promising non-linear tool for signal analysis that has been already successfully applied in many tasks, such as in image recognition and compression leading to standards such as JPEG2000. The plan was to perform a c...

Time-frequency techniques constitutes a major improvement in signal analysis, namely at the field of biomedical signals in which the interdisciplinary nature of the proposed questions implies the development of new strategies to answer to specific problems. Timefrequency analysis using Wavelets, Wigner-Ville transform and more recently the HilbertHuang Transform (HHT) constitutes the core of th...