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Existing asymptotic analysis techniques fail to provide closed-form asymptotic outage probability expressions for lognormal fading channels due to the fact that lognormal fading channel distributions have an infinite diversity order. In this work, we develop a new analytical technique to study the asymptotic outage probability of maximum-ratio combining and equalgain combining over independent lognormal...
The possibilities of substitution of the distributed radar object by the geometrical model, composed of two point radiators for normal distribution correlation, have been analyzed. A distribution law of the coordinate noises was used for an adequacy criterion of the model. Relations, that define the limits of the obtainable values for an expected value and a parameter determining a distribution width...
Radio-based localization has the potential to provide centimeter-level position information. In this paper we apply joint probabilistic data association to multipath-assisted simultaneous localization and mapping (SLAM) for this purpose. In multipath-assisted localization, position-related information in multipath components (MPCs) is exploited to increase the accuracy and robustness of indoor tracking...
The estimation of blurred regions is an important stage in several computer vision applications. In this paper an efficient training-free detector of local blurriness based on edge features is presented. Due to the intrinsic sparsity of edges in natural images a blur map is creating by using an approach based on the heat diffusion principle. A 2D point discrete Poisson solver is concatenated with...
The Levy Walk (or Levy flight) is a concept fromBiomathematics to describe the hunting–behaviour of manypredatory species. It is a very efficient way to find prey in avery short time frame. We now want to use this concept ina clustering–context to – if you so will – "hunt" for clusters. We describe how we convert this concept into an efficient wayto find cluster centres by linking the data...
Modeling wind generation for use in many power system applications requires a massive database of historical wind speeds so that the stochastic nature of the wind at a particular site can be accurately analyzed. The alternative is to use reliable estimates of a probability distribution function (PDF) that can preserve the variable characteristics of wind speed and generate the desired synthetic data...
In this paper, a novel empirical data analysis approach (abbreviated as EDA) is introduced which is entirely data-driven and free from restricting assumptions and pre-defined problem- or user-specific parameters and thresholds. It is well known that the traditional probability theory is restricted by strong prior assumptions which are often impractical and do not hold in real problems. Machine learning...
This paper describes a variant of the Incremental Ant Colony Optimization algorithm for continuous optimization (IACOℝ). The original IACOℝ approach estimates the Probability Density Function (PDF) using Gaussians constructed around candidate solutions to generate new solutions. We use Support Vector Regression (SVR) to fit a regressor to the candidate solutions. The minima of the fitted regressor...
We present a new lower bound on the differential entropy rate of stationary processes whose sequences of probability density functions fulfill certain regularity conditions. This bound is obtained by showing that the gap between the differential entropy rate of such a process and the differential entropy rate of a Gaussian process with the same autocovariance function is bounded. This result is based...
Some variants of quantitative evaluation of radio electronic devices quality by using one- and two-dimensional densities of parameter distributions are considered. Mathematical techniques for evaluating the reliability of elements and their parametric synthesis employing “parameter - tolerance zone” and “load - carrying capability of construction” models is given.
In this paper, we propose a parameter-free image reconstruction algorithm that is based on the maximum a posteriori (MAP) estimation method and so called "integrate-out" approach for determining the prior distribution. The resulting objective function is minimized using the majorize-minimize optimization technique. The proposed algorithm avoids the computational burden associated with using...
The assumption of additive white Gaussian noise (AWGN) to model measurement is not valid since many applications such as in RF power measurement the noise is colored with 1/f spectrum characteristics. With this characteristics, the assumption of independently identically distribution (IID) used in signal detection and estimation becomes not valid. The autocorrelation function and power spectrum can...
Dealing with the whole dataset in big data estimation problems is usually unfeasible. A common solution then consists of dividing the data into several smaller sets, performing distributed Bayesian estimation and combining these partial estimates to obtain a global estimate. A major problem of this approach is the presence of a non-negligible bias in the partial estimators, due to the mismatch between...
Estimation of a signal transmitted through a communication channel usually involves channel identification. This scenario can be modeled as random parameter estimation in the presence of unknown deterministic parameter. In this paper, we address the question of how accurately one can estimate a random signal intercepted by an array of sensors, subject to an unknown deterministic array response. The...
We study maximum likelihood (ML) position estimation using quantized received signal strength measurements. In order to mitigate the undesired quantization effect in the observations, the dithering technique is adopted. Various dither noise distributions are considered and the corresponding likelihood functions are derived. Simulation results show that the proposed ML estimator with dithering is able...
In this paper, we show a convenient way of generating a Laplace process of a desired autocorrelation. Our approach is based upon the fact that the real or imaginary component of the product of two independent complex Gaussian random variables has a Laplace marginal probability density function (pdf). We, therefore, generate a Laplace process by multiplying two independent complex Gaussian autoregressive...
This paper analyzes the performance of optimum combining (OC) cooperative interference-limited systems in the presence of co-channel interference (CCI). In particular, we investigate a dual-hop decode-and-forward relaying system comprising a pair of source-destination, multiple relays and multiple interferers affecting the relays as well as the destination. Under this scenario, we first derive the...
In this paper, we propose a novel scheme of Local Histogram Equalization (LHE) using guided image filter. The sub-blocks are segmented from the input image, after which we individually compute each local histogram used for multiple transformation functions. To further remove the block artifacts caused by LHE, we employ the input image to guide the texture information, while keeping the enhancement...
In this paper, we propose an approach to reduce the average number of samples (ASN) required by the Truncated Sequential Energy Detector (TSED) for Cognitive Radio. The reduction in overall ASN is achieved by forcing as many decisions as possible early on during the detection process with the tolerable error limits as the constraints. The sequential thresholds for each sample point are individually...
This paper addresses the problem of rate selection for the cooperative hybrid automatic repeat request with chase combination (HARQ-CC) system, where time correlated Nakagami-m fading channels are considered. To deal with this problem, the closed-form cumulative distribution function (CDF) for the combine SNRs through maximal ratio combining (MRC) is first derived as a generalized Fox's H̄ function...
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