Cost estimation is one of the most critical activities in software life cycle. In past decades, a number of techniques have been proposed for cost estimation. Linear regression is yet the most frequently applied method in the literature. However, a number of studies point out that linear regression is prone to low prediction accuracy. The low prediction accuracy is due to a number of reasons su...

This paper deals with the problem of peak clipped speech. Our basic assumption is that the clipped speech is voiced and can be linearly predicted with a high accuracy. The coefficients of linear prediction are computed using two different algorithms: a least square direct method and a recursive Kalman filter. The speech reconstruction is accomplished using backward prediction. Povzetek: Predsta...

Overview A linear predictive filter (LPF) is a short vector of coefficients whose inner product with a fragment of a time-sampled signal predicts one or more points of the 10 signal’s future within some error. When the prediction horizon is short, the filter is interpolative and constitutes a recognizer or classifier of the signal [3, 5]. When the prediction horizon is longer, the filter is ext...

The retention behaviour of 66 organic pollutants in biocompatible micelles was studied by QSPR method. The linear and nonlinear models between the structures of these compounds and their chromatographic retention values were established by using the heuristic method and the RBFNN method, respectively. The correlation coefficients of the two methods are 0.8400 and 0.8642, respectively, and the c...

Recent papers have proposed linear prediction as a useful method for lossless audio coding. Transform coding, however, hasn’t been investigated so far, although it seems to be more adapted to the harmonic structure of most audio signals. In this paper we present first results on lossless transform coding of CD-quality audio data. One main aspect lies on a suitable quantization method to obtain ...

This paper describes a new predictive coding algorithm designed for lossless compression of electric signal waveforms. Prediction coefficients are obtained from the sinusoidal signal autoregressive model. Predictors for a single sinusoid and the sum of two and three sinusoids are considered. Integer-to-integer coding is obtained by the proper (i.e. reversible) quantization of computations. The ...

in order to evaluate the response of emergence rate of oil seed rape seedlings to temperature, a pot experiment was conducted to assess the relationship between emergence rate of three rape seed cultivars (apetalous flower, rgs003 and syn3) by using a non-linear regression against temperature variation. six models (tooth shape, segmented, beta, curve, quadratic and cubic) were used and the supe...

In general, linearity is assumed to hold in multivariate calibration (MVC), but this may not be true. We approach the MVC problem using multidimensional penalized signal regression, which can be extended with an explicit link function between linear prediction and response and in the spirit of single-index models. As the twodimensional surface of calibration coefficients is smoothly and general...

Visible and near infrared (Vis/NIR) spectroscopy was investigated for the fast analysis of superoxide dismutase (SOD) activity in barley (Hordeum vulgare L.) leaves. Seven different spectra preprocessing methods were compared. Four regression methods were used for comparison of prediction performance, including partial least squares (PLS), multiple linear regression (MLR), least squares-support...

In this paper a new model of the vocal tract is proposed. It is based on elliptical cylinders. It uses the vocal tract model based on PARCOR coefficients and midsaggital measurements of the voice tube. PARCOR coefficients were obtained from linear prediction coefficients which had been obtained by Levinson-Durbin method. Midsaggital lengths, understood as the height of a real vocal tract, were ...