Wiener systems consist of a linear dynamic system whose output is measured through a static non-linearity. In this paper we study the identification of single-input single-output Wiener systems with finite impulse response dynamics and polynomial output non-linearities. Using multi-index notation, we solve a least squares problem to estimate products of the coefficients of the non-linearity and...

Three simple speaker verification techniques based on vector quantization, sphericity models and dynamic time warping, respectively, are developed and tested using the same experimental protocol. Two types of feature vectors, the linear prediction derived cepstral coefficients and the melfrequency cepstral coefficients are considered. The efficiency of the combination of the type of acoustic an...

This paper describes an approach for video shot detection. It relies on the temporal analysis of frame to frame optical flow measurements. These measures, which are motion wavelet coefficients directly estimated from image sequence, exhibit discontinuities when shot boundaries occur. These transitions are detected by considering the temporal trajectories of the linear prediction errors of wavel...

This paper concerns the issue of signal analysis by the linear predictive method. It is not only about frequency analysis, that is obtaining the LPC spectrum and comparing it with the Fourier one, but also about analysing prediction coefficients themselves. We will also discuss the program made by the authors of this paper, which beside foregoing functionalities, enables vocal tract visualizati...

By using linear statistical coefficients such as Pearson, Spearman and Kendall’s, and nonlinear methods such as time-delayed transfer entropy and mutual information, the correlation between the observation stations of bridge health monitoring system is obtained. A model for predicting structural safety based on the correlation coefficients is established, which provides a new research method fo...

Abstract We discuss practical methods for computing the space of solutions to an arbitrary homogeneous linear system partial differential equations with constant coefficients. These rest on Fundamental Principle Ehrenpreis–Palamodov from 1960s. develop this further using recent advances in computational commutative algebra.

The following short paper presents an experimental algorithm for onset detection which apply features extraction in the wavelet domain and auditory spectral features to Bidirectional Long Short-Term Memory (BLSTM) recurrent neural networks for decision-making. The presented algorithm exploits multi-resolution time-frequency features via the discrete wavelet transformation to decompose the input...

In linear predictive coding, the benefit of backward adaptation in comparison to forward adaptation of the prediction coefficients is that it allows to save bit rate since no prediction coefficients need to be transmitted from the encoder to the decoder. Also, backward adaptation yields very low complexity and algorithmic delay. Unfortunately, noise shaping techniques which have proven to enabl...