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On the assumption that the seismic wavelet is causal and nonminimum phase, an ARMA model is introduced to fit the seismic trace. The SVD method based on autocorrelation is used to determine AR order; and the author proposes a new MA model order determination method via combining the information theoretic criteria method with the method based on higher-order cumulant in order to improve the accuracy...
According to the characteristics of non-cooperative bistatic pulse radar systems and the issue that the doppler mismatched loss of the cross-correlation detection of moving targets is serious, two fast methods for joint time delay and doppler shift estimation of moving targets, based on segment correlation-FFT processing and modified partial segment correlation-FFT processing, are proposed, after...
In this article, we use some spectral properties of polynomials presented in [1] and map an auto-correlation sequence to a set of Line Spectral Frequencies(LSFs) and reflection coefficients. This novel characterization of an autocorrelation sequence is used to obtain a lattice structure of a Linear-Phase(LP) FIR filter.
In this paper, the firing rate of the neuron based on temporal coincidence coding is estimated for correlation detection. Two cases are considered: the independent inputs are stochastic spike trains that are modeled by the homogeneous Poisson process or the renew process. The situation that the inputs are correlated is also considered and the conditions for the neuron to detect the correlation among...
Some crucial challenges of estimation over sensor networks are reaching consensus on the estimates of different systems in the network and separating the mutual information of two estimates from their exclusive information. Current fusion methods of two estimates tend to bypass the mutual information and directly optimize the fused estimate. Moreover, both the mean and covariance of the fused estimate...
This paper presents a new approach for estimating nonidealities in unit element feedback digital-to-analog converters (DACs) of sigma-delta analog-to-digital converters (SigmaDelta ADCs). The presented method involves a background correlation technique to determine static and dynamic device mismatches as well as a way to digitally correct a modulators output. Simulations show that the method can be...
Based on characteristics of HVS (human visual system), a new objective image quality assessment is proposed. In this method, the information of luminance, frequency and edge is used to predict the quality of compressed images. Multi-linear regression analysis is used to integrate these information. Experimental results show that this new image quality assessment closely approximates human subjective...
This paper presents an algorithm for the parameter estimation of minimum-phase autoregressive moving average (ARMA) systems from noise-corrupted observations. In order to estimate the AR parameters of the ARMA system, an enhanced autocorrelation function (ACF) of the observed data is employed in a modified form of least-squares Yule-Walker equations. For the estimation of the MA parameters, first,...
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