Adaptive Mixtures

Predicting Flow Number of Asphalt Mixtures Based on the Marshall Mix design Parameters Using Multivariate Adaptive Regression Spline (MARS)

Rutting is one of the major distresses in the flexible pavements, which is heavily influenced by the asphalt mixtures properties at high temperatures. There are several methods for the characterization of the rutting resistance of asphalt mixtures. Flow number is one of the most important parameters that can be used for the evaluation of rutting. The flow number is measured by the dynamic creep...

Adaptive neuro-fuzzy inference system (ANFIS) applied for spectrophotometric determination of fluoxetine and sertraline in pharmaceutical formulations and biological fluid

The UV-spectrophotometric method of analysis was proposed for simultaneous determination of fluoxetine (FLX) and sertraline (SRT). Considering the strong spectral overlap between UV-Vis spectra of these compounds, a previous separation should be carried out in order to determine them by conventional spectrophotometric techniques. Here, full-spectrum multivariate calibrations adaptive neuro-fuzz...

From Mixtures of Mixtures to Adaptive Transform Coding

Source separation in post nonlinear mixtures: an entropy-based algorithm

This paper proposes a new approach for sources separation in special nonlinear mixtures, called post nonlinear mixtures (PNL). We rst explain the nice separability properties of these mixtures: solutions have almost the same indeterminacies as in instantaneous linear mixtures. The method proposed in this paper is based on the minimization of the mutual information, which needs the knowledge of ...

A Block-Adaptive Subspace Method Using Oblique Projections for Blind Separation of Convolutive Mixtures

This paper presents a block-adaptive subspace algorithm via oblique projection for blind source separation (BSS) problem of convolutive mixtures. In the proposed algorithm, the problem is reformulated into the one of instantaneous mixtures through oblique projections within one block, and then the separation matrix and other model parameters are updated by any static separation approach in a bl...

An Adaptive Algorithm for Speech Source Separation in Overcomplete Cases Using Wavelet Packets

Speech process has benefited a great deal from the wavelet transforms. Wavelet packets decompose signals in to broader components using linear spectral bisecting. In this paper, mixtures of speech signals are decomposed using wavelet packets, the phase difference between the two mixtures are investigated in wavelet domain. A geometrical model is defined and an adaptive algorithm is proposed bas...