It is difficult to accurately identify the dynamic deformation of bridges from Global Navigation Satellite System (GNSS) due influence multipath effect and random errors, etc. To solve this problem, an improved empirical wavelet transform (EWT)-based procedure was proposed denoise GNSS data modal parameters bridge structures. Firstly, Yule–Walker algorithm-based auto-power spectrum Fourier were...

A Yule tree is the result of a branching process with constant birth and death rates. Such a process serves as an instructive null model of many empirical systems, for instance, the evolution of species leading to a phylogenetic tree. However, often in phylogeny the only available information is the pairwise distances between a small fraction of extant species representing the leaves of the tre...

In this paper, we want to find a continuous function fitting through the discrete covariance sequence generated by stationary AR process. This can be determined as soon Yule–Walker equations are found. The procedure consists of two steps. At first inverse zeros characteristic polynomial process must fixed. second step is based on fact that an also seen difference equation. By solving equation, ...

Online denoising is motivated by real-time applications in the industrial process, where the data must be utilizable soon after it is collected. Since the noise in practical process is usually colored, it is quite a challenge for denoising techniques. In this paper, a novel online denoising method was proposed to achieve the processing of the practical measurement data with colored noise, and t...

The well-known Yule-Nielsen modified spectral Neugebauer model is one of the most accurate predictive models for the spectral reflectance of printed halftone colors which expresses the spectral reflectance of halftones raised to the power 1/n as a linear combination of the spectral reflectance of the fulltone colors (Neugebauer primaries) also raised to the power 1/n, where n is a tunable real ...

Lattice algorithms for estimating the parameters of a multivariate autoregression are generalized to deal with subset models in which some of the coefficient matrices are constrained to be zero. We first establish a recursive prediction-error version of the empirical Yule-Walker equations. The estimated coefficient matrices obtained from these recursions are the coefficients of the best linear ...

This paper presents an adaptive time-domain post-filtering technique based on the modified Yule-Walker filter. Conventionally, post-filtering is derived from an original LPC spectrum [1]. In general, this time-domain technique produces unpredictable spectral tilt that is hard to control by the modified LPC synthesis, inverse and high pass filtering and causes unnecessary attenuation or amplific...

The detection of an error in the motor output and the correction in the next movement are critical components of any form of motor learning. Accordingly, a variety of iterative learning models have assumed that a fraction of the error is adjusted in the next trial. This critical fraction, the correction gain, learning rate, or feedback gain, has been frequently estimated via least-square regres...

1110 CH1841-6/83/0000-1110 $1.00 © 1983 IEEE ICASSP 83, BOSTON ABSTRACT b+ b .+ b _JqW 2 This paper presents a fast recursive S (e3) = 1 — (2) least squares algorithm for estimating the X i + a1e ±.. .+ a e AR coefficients in an AR or ARMA model. The algorithm is based on solving an over— The a and b. coefficients are referred to determined system of "t" Extended Yule as the autoegressive (AR) ...

Ultra-wide band (UWB) communication is one of the most promising technologies for high data rate wireless networks for short range applications. This paper proposes a blind channel estimation method namely IMM (Interactive Multiple Model) Based Kalman algorithm for UWB OFDM systems. IMM based Kalman filter is proposed to estimate frequency selective time varying channel. In the proposed method,...