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Although the existing correlation filter based on trackers has appeared to be more excellent in the visual tracking problem, there is still tremendous space for the improvement of the tracking performance, especially in the occlusion situation which is often ignored due to the difficulty in detection and processing. In this paper, a scale-adaptive tracker is proposed to handle the case of occlusion...
Distributed coherent aperture radar (DCAR) can be applied to improve the target tracking and identification performance through adjusting transmitting/receiving timing and phase of spatial distributed radars via the coherent parameters (CPs). Therefore, estimating high precision of CPs is the core and prerequisite for DCAR to realize coherent synthesis. In this paper, we introduce the workflow of...
A novel two dimension direction-of-arrival (2D-DOA) estimation method for L-shaped array using atomic norm minimization based on the cross-correlation matrix is proposed in this paper. We first reconstruct the autocorrelation matrix of observed signals in the Toeplitz structure by cross-correlation matrix-based atomic norm minimization (CCMANM), and then employ the reconstructed autocorrelation matrix...
Underwater acoustic channel is a time varying, strong multipath, serious Doppler frequency shift, and high noise interference channel. Aiming at the requirements of strong stability and high reliability to support reliable transmission over long distance, a direct sequence spread spectrum based on single carrier underwater acoustic communication system using dual spread spectrum code (SC-CDMA/DSSC)...
Non-linear methods are usually used to analyze and process random sequences with outliers or in presence of impulsive noise. One of these methods is based on order statistics, which includes rank information by increasing the problem size. In this article we use a rank one quadratic measurement model based on sketches and apply it to order statistics. We introduce a method to estimate the correlation...
This paper explores the use of Multiple Linear Regression techniques in order to estimate sections of missing line reactance data sometimes found in the data received from synchrophasor measurement units. The high correlation between transmission line reactance and the system frequency is used to predict these estimates. Dynamic predictor coefficients are used to improve accuracy of the estimations...
The pulse-echo method based on transmission of an ultrasonic pulse and time-of-flight determination of a reflected echo is one of the typical methods of ultrasonic distance measurement. To improve the SNR of the reflected echo, pulse compression using an M-sequence is employed in the pulseecho method. In the case of a moving object, however, the echo is modulated owing to the Doppler effect The Doppler-shifted...
This paper describes three methods for multiple fundamental frequencies estimation based on the multi-scale product analysis. The three methods use the autocorrelation of the multi-scale product analysis for the target pitch estimation. For the intrusion pitch, each one has its techniques. The first one uses the classic comb filtering. The second method employs the rectangular comb filter followed...
In this brief paper we present a low-complexity digital architecture for the probabilistic characterization of ergodic TRBGs. Differently from other methods based on the direct estimation of the generation probabilities of finite sets of binary words, in this study we investigate some theoretical relationships between the autocorrelation function of the binary source and the dynamical symbol generation...
This paper explores the correlation between the low-frequency content of customers' consumption load, measured by a proposed index called predictability index, and the accuracy of Customer Baseline Load (CBL) estimation methods. The customer's consumption signal is transformed from time-domain to frequency-domain to separate its high- and low-frequency components. After reconstructing the time-domain...
In the current transfer machine for the flexible band, the equipment sometimes stops due to fluctuations in the tension of the flexible band, the readjustment is required at this time and the productivity is reduced. Therefore, in this study, we clarified factors influencing the positioning accuracy of the flexible band, proposed a monitoring method of operating condition, and aimed at the improvement...
Hyperspectral images (HSI) have found widespread application in many disciplines because of their ability to characterize the object being imaged in a much more detailed manner as compared to colored or multispectral images. An accurate modelling of the underlying noise is, however, necessary in order to extract the useful data from the HSI. Although, classically noise in HSI has been modelled as...
The objective of the represented work is the effectiveness increase of PJ signals estimation in digital paths of telecommunication systems. The method and the device of phase jitter estimation of clock signals are suggested. That is characterized by enhanced resolving power and statistical stability of estimates by means of digital multistage periodogram-correlogram processing of jitter signals.
Estimation of power-system damping from synchrophasor frequency measurements is studied. Specifically, a procedure for determining the damping of a dominant mode from the turns ratio of the sample autocorrelation function is outlined. The main contribution of the work is to then develop performance bounds on the damping estimates, and demonstrate approximation of these bounds entirely from the measurement...
Distributed energy resources (DER) systems introduce uncertainties in the electrical grid that cannot be addressed by classical deterministic methods. Power system analytic tools, such as Load Flow (LF), should be revisited to address such uncertainties. Probabilistic Load Flow (PLF) provides a solution to this problem by handling these uncertainties as random variables. Among the existing sampling...
Positioning services are increasingly used for applications such as navigation, advertising and social media. While outdoor navigation based on GPS and/or cellular systems works well, indoor navigation is a much tougher challenge. This paper proposes an indoor localization using Wi-Fi received signal strength indicator (RSSI) measurements from existing access points. Using RSSI data from multiple...
In this paper, we address the estimation of power spectral density (PSD) matrix. The accurate estimation of PSD matrix plays an important role in many speech enhancement methods. In traditional PSD estimation methods, only the information of previous frames is employed through a forgetting factor. In the current research, we consider the correlation of inter-band components and incorporate their information...
Various works have been carried out about the Jeffrey's divergence (JD) which is the symmetric version of the Kullback-Leibler (KL) divergence. An expression of the JD for Gaussian processes can be deduced from the definition of the KL divergence and the expression of the Gaussian-multivariate distributions of k-dimensional random vectors. It depends on the k × k Toeplitz covariance matrices of the...
Co-prime arrays and samplers are popular sub-Nyquist schemes for estimating second order statistics at the Nyquist rate. This paper focuses on the perturbations in the array locations or sampling times, and analyzes its effect on the difference set. Based on this analysis we propose a method to estimate the autocorrelation which makes best use of the sampled data in order to improve the estimation...
One important feature of geography phenomenon or spatial object is that there exists the spatial autocorrelation between them. As for a spatial sampling scheme for crop acreage estimation, the spatial autocorrelation of the sampling units has an important effect on the design of the sampling scheme and the improvement of the sampling efficiency. While the related researches on spatial autocorrelation...
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