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The present work is a comparative study that matches between carriers and techniques used to prepare solid mixtures with glimepiride. The study is directed towards elucidation of the most promising carrier capable of highly improving drug dissolution along with the most successful technique used for drug formulation. Mixtures were tested for drug content(More)
— Due to non-stationary multicomponent nature of the electrocardiogram (ECG) signal, its analysis by the monodimensional techniques, temporal and frequenctial, can be very difficult. The use of the time-frequency techniques can be inevitable to achieve to a correct diagnosis. Between the different existing parametric and non-parametric time-frequency(More)
Non-parametric time-frequency analysis for multicomponent nonstationary signals is an important issue in signal processing, especially in the biomedical field. Due to the nonstationary, multicomponent nature of the biomedical ECG signal, the use of time-frequency analysis can be very useful to identify the exact multicomponent structure of this biological(More)
In this paper, we introduce the time-frequency AR model as a time-varying autoregressive (TVAR) approach for modeling non-stationary signals, and frequency information is then extracted from the TVAR parameters. The impulse response backscattered by Aluminium cylindrical shell is analysed from the parametric time-frequency representation. This(More)
A new approach is used to predict the pressure backscattered by a tube using the artificial neural networks (ANNs) techniques. The studied tube consists of steel. During the development of the network, several configurations are evaluated for various radius ratio b/a (a: outer radius, b: inner radius of tube). The multilayer perceptron (MLP) is used in the(More)
This work investigates the application of the Ensemble Empirical Mode Decomposition (EEMD) and the time-frequency techniques for treatment of the electromyography (EMG) signal. The EMG signals are usually corrupted by artifacts that hide useful information then the extraction of high-resolution EMG signals from recordings contaminated with back ground noise(More)
This work investigates the application of the Ensemble Empirical Mode Decomposition (EEMD) and the time-frequency techniques for treatment of the electromyography (EMG) signal. The EMG signals are usually corrupted by artifacts that hide useful information then the extraction of high-resolution EMG signals from recordings contaminated with back ground noise(More)
In this paper, we introduce the parametric and non parametric time-frequency representations for modeling non-stationary signals particularly the acoustic signals. The impulse response backscattered by Aluminium cylindrical shell, of radii ratio equal to 0.95, is analyzed from these time-frequency representations. The first representation is called(More)
The dimensional characterization of an elastic tube can be done thanks to its cut-off frequencies of the waves propagating around the tube. In this work, we propose to determine certain geometrical properties of a tube such as the radii radio b/a. The spectrogram and the reassigned spectrogram time-frequency representation of a signal are used in this work(More)
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