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A simple mathematical model for predicting the probability that a street-level location within a macrocell enjoys full visibility to its serving base station antenna is proposed and evaluated. The single-parameter, two-tier linear model is based on processing and modeling actual antenna observation data taken at street-level locations around urban cell sites in the city of Caracas. When the only parameter...
This paper proposes the eigen-decomposition template matching. The eigen-decomposition template matching is a method to detect the displacement and the rotational angle accurately between the input and the template image. The proposed method calculates the correlation by matching the images given which is determined by eigen decomposition of the template image to the input image instead of matching...
Novel single integral representations for the multivariate probability density function (PDF) and cumulative distribution function (CDF) of Gaussian class Weibull distributions are derived. A special linear transformation of independent Gaussian random variables is used to generate correlated Weibull random variables. The solutions are expressed in terms of familiar functions which are available in...
Simultaneously recorded neurons often exhibit correlations in their spiking activity. Short-term synaptic plasticity (STP) allows synapses to perform critical computational functions in neural circuits. It is critical to understand the properties and mechanisms that generate correlation and the role of STP in these forms of correlation. A nonmonotonic relationship between the output correlation and...
An image matching algorithm is presented in order to get an accurate matching for dense image points. The main idea is using multiple constrains including affine transformation, epipolar geometry, gray-scale correlation and RGB correlation to do step by step approximation for the matching points. Affine transformation constrain is used for getting the regional similarity of the image points, and then...
This paper presents a new modeling method based on signal flow graph correlation matrix. Firstly, according to the signal flow graph, a signal tree can be selected. Based on the signal tree, a signal branch and the node can be added, finding independent loop - loop incidence matrix. The correlation matrix can determine the relevance of the loop, and help seek its loop gain. Moreover, mathematical...
With the advent of new Global Navigation Satellite Systems (GNSS) and signals, Satellite Based Augmentation Systems (SBAS) will rely also on them to provide higher position accuracy. For services based on such systems it is fundamental to protect the user against potential signal distortions in order to ensure the required integrity and performance. SBAS systems usually implement signal deformation...
Common fMRI data processing techniques usually minimize a temporal cost function or fit a temporal model to extract an activity map. In our previous work we used generalized canonical correlation analysis to extract a highly, spatially reproducible statistical parametric map (SPM) from fMRI data using a cost function that does not depend on a model of the subjects' temporal response. Here we focus...
TDDM-BOC modulation signal is realized to overlap with different signals in the same frequency and has the better anti-jamming ability, because of the unique character of split spectrum and auto-correlation multi-peak. According to the auto-correlation character of TDDM-BOC modulation signal, an algorithm is proposed for direct acquiring TDDM-BOC signal based on sub-sampling. With decreasing Signal-to-Noise,...
Physical phenomena such as temperature, humidity, and wind velocity often exhibit both spatial and temporal correlation. We consider the problem of tracking the extremum value of a spatio-temporally correlated field using a wireless sensor network. Determining the extremum at the fusion center after making all sensor nodes transmitting their measurements is not energy-efficient because the spatio-temporal...
This paper is concerned with the fusion of information from process data and process connectivity and its subsequent use in fault detection and isolation and hazard assessment. The Signed Directed Graph (SDG), as a graphical model for capturing process topology and connectivity to show the causal relationships between process variables by flow and information paths, has been widely used in root cause...
A fast variational fusion model based on partial differential equation (PDE) is presented for pan-sharpening. The functional is constructed with several energy terms. The gradient energy term is created by calculating the gradient vector field of the panchromatic image. The visualization energy term is used for improving the perceptual effect and the spectral preserving energy term is designed for...
This paper presents the sliding exponential window max-correlation matching (SEWMCM) adaptive algorithm and the sliding rectangular window max-correlation matching (SRWMCM) adaptive algorithm for finding the maximum correlation of two different signal vectors. A unified approach to the steady-state excess mean square error (MSE) performance analyses for proposed algorithms is developed, including...
Business Models are formal descriptions representing the components of the business implemented by a company. This provides a strong support in deriving strategic requirements, such as for instance conditions of profitability, that are essential to monitor the operative level. But a strong limitation is that the quantification of the values determining the economical requirements of a model can be...
Traffic prediction is of significant importance for telecommunication network planning and network optimization. In this paper, the traffic series from a certain mobile network in Heilongjiang province in China is studied. The characteristics in respect of both trend and periodicity are explored with autocorrelation function. Based on the characteristics exhibited in the traffic series, multiplicative...
In this paper, we propose a novel method of calculating the degree of similarity between 3-D objects considering translation and rotation along x, y, and z axes using the phase correlation method. The phase correlation method has been used to estimate the translation and rotation between similar images on the 2-D plane. We extend the phase correlation method to estimate the rotations along three axes...
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...
Interpolation filters are considered to be computationally intensive sections of fading channel simulators. They can be implemented by using linear interpolation or zero-padding followed by low-pass IIR or polyphase filtering. In this work, we will investigate how different interpolation techniques affect statistical properties and speed of the simulator. We will show that use of linear interpolation...
Modern electromagnetic theory based on quantum conceptions supposes turn to averages of operator dynamic variables for describing the field state and analyzing experimental results with computational methods. Theoretical analysis of such non-equilibrium phenomenon as Dicke superfluorescence leads to an algebra of variables which are necessary for building a set of evolution equations. Rather different...
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