The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In general, the evaluation of complicated stochastic systems is difficult only from the viewpoint of conventional structural approach based on their physical internal mechanisms. In this case, we adopt very often the regression analysis model between input and output signals from the viewpoint of functional approach. In the previous paper, an extended regression analysis method was proposed by considering...
In dispersion-unmanaged 100-Gbit/s single-channel transmission, the one-to-one relationship between error-rate and noise variance does not hold at high powers. More accurate error assessment than with Gaussian modeling can be obtained by involving high order statistics.
Comparative study between the proposed technique and MATLAB-built-in deconvolution-functions with regard to deconvolution errors is discussed, which have a crucial impact in reversing the effects of convolution with Random Telegraph Noise (RTN) and Random Dopant Fluctuation (RDF) on overall SRAM margin variations. The proposed algorithm successfully avoids noise amplification thanks to eliminating...
Although decreasing IC feature size and increasing I/O speed enable better system capability and performance, they also introduce technological challenges. One of the most important challenges is as I/O speed increases: jitter should decrease accordingly to ensure a reasonable bit error rate (BER) for a link system. Precise jitter characterization of signals at critical internal nodes provides valuable...
An information geometric algorithm is proposed to control the shape of the conditional output probability density function for stochastic distribution control systems. The considered system is of multi-input and multi-output with stochastic noises and a output feedback vector. Based on the assumption that the probability density function of the stochastic noise is known, we obtain the conditional...
In this paper, a mixture noise model, which is a sum of symmetric Cauchy and zero-mean Gaussian random variables in time domain, is studied. The Cauchy and Gaussian distributions are characterized by the unknown median γ and variance σ2, respectively. The probability density function (PDF) and characteristic function (CF) of the mixture are also investigated which are calculated by the convolution...
In this paper, we consider an impulsive mixture noise process, which commonly comes across in applications such as multiuser radar communications, astrophysical imaging in the microwave range and kick detection in oil drilling. The mixture process is in the time domain, whose probability density function (PDF) corresponds to the convolution of the components' PDFs. In this work, we concentrate on...
Speckle noise is an inherent phenomenon in medical ultrasound (US) images. Since it degrades an ultrasound image quality and reduces its diagnostic value, reduction of speckle noise is a very important pre-processing step in ultrasound image processing. For this purpose, the knowledge of the statistics of speckle noise is necessary; especially in the multiresolution transform domain due to their sparse...
The error probability performance of convolutional codes are mostly evaluated by computer simulations, and few studies have been made for exact error probability of convolutional codes. In [1], the moments of decision variable are derived by a recurrence relation for maximum a-posteriori probability (MAP) decoding of 4-state convolutional code. However, due to the convergence problem of moment techniques,...
The paper presents a new approach to defining the relationships between small amounts of input and output data. This approach proceeds from involving randomized (static and dynamic) models and estimating the probabilistic characteristics of their random parameters. We consider static and dynamic models described by Volterra polynomials. The procedures of robust parametric and non-parametric estimation...
A time-of-arrival (TOA) measurements-based tracking method for passive bistatic radar (PBR) in the presence of glint noise is proposed. To improve the TOA-based tracking precision in glint, an improved particle filter (PF) based on differential evolution algorithm is used for target tracking. It is shown that the proposed method can improve the tracking precision of PBR in glint noise compared with...
In this correspondence, we address the problem of predicting the usable rates of a multiple access communications channel under real world conditions. In particular, we are interested in channels and communications signals that cannot be easily modeled by the usual Gaussian assumptions, and call for alternative methods of analysis. The examples we use in our development typically involve two communicators,...
This paper presents spectrum occupancy results from spectrum surveys conducted at three locations: Denver, CO,Table Mountain near Boulder, CO, and Point Loma, near San Diego, CA. Equipment setups are described along with the measurement algorithms used to measure various emission types. Various statistical graphs, M4 statistics plots and FS-CCDF plots, as well astime vs. frequency or waterfall plotsgive...
Flashing ratchet is a mechanism which employs noise under isothermal and non equilibrium conditions. Its primary is to transport of small particles, possibly against a load force, under the influence of thermal noise and potential energy landscapes that can be realized locally, near the particles position. In this article we present a dynamic programming based approach to analyze and synthesize optimal...
In this paper, we investigate a downlink model for underlay cognitive radio networks (CRNs). In particular, we assume that the secondary transmitter (SU-Tx) sends common packets to secondary receivers (SU-Rx) under the outage constraint of a single primary user (PU) and the peak transmit power constraint of the SU-Tx. All channels undergo Rayleigh fading. Given these settings, an adaptive transmit...
In this paper, spectrum sensing in cognitive radio systems is studied for non-Gaussian channels in the presence of prior distribution uncertainty. In most practical cases, some amount of prior information about signals of primary users is available to secondary users but that information is never perfect. In order to design optimal spectrum sensing algorithms in such cases, we propose to employ the...
In studies of complex heterogeneous networks, particularly of the Internet, significant attention was paid to analysing network failures caused by hardware faults or overload. There network reaction was modelled as rerouting of traffic away from failed or congested elements. Here we model network reaction to congestion on much shorter time scales when the input traffic rate through congested routes...
Nonextensive statistical mechanics represents a consistent theoretical framework for investigation of complex systems. We propose the nonlinear stochastic differenctial equations yielding q-Gaussian distribution of signal intensity, featured in the nonextensive statistical mechanics. In addition, the proposed equations generate signals with 1/f behavior of the power spectral density. The joint reproduction...
Despite the extensive literature, describing the probability content of measurements remains an important topic for engineering problems. The histogram remains the golden standard, even though kernel density estimation is a strong competitor when smooth estimates are desired.
Medical ultrasound images are inherently corrupted with speckle noise in a multiplicative manner. The most popular approach of despeckling is homomorphic filtering, in which the multiplicative speckle noise converted to an additive one by log-transformation. The knowledge of the statistics of the log-transformed speckle is necessary for developing effective methods for speckle reduction. The Bessel...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.