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Individuals make commitments towards others in order to influence others to behave in certain ways. Most commitments may depend on some incentive that is required to ensure that the action is in the agent's best interest and thus, should be carried out to avoid eventual penalties. Similarly, individuals may ground their decision on an accurate assessment of the intentions of others. Hence, both commitments...
The performance of environment perception sensors plays an important roll for the effectiveness of advanced driver assistance systems (ADAS). This paper analyzes different methods for sensor model generation for effectiveness simulations and derives a new sensor model unifying the main advantages of common deterministic and stochastic approaches. As an example, the paper utilizes the new sensor model...
SRAM failure-rate, induced by failure mechanisms such as process variations or cosmic neutrons, increases with reduction in the supply-voltage. Thus, appropriate supply-voltage margins must be used to mitigate or control the failure-rate. This work models and analyzes the interaction of two failure-mechanisms in an SRAM cell during the hold-operation (standby): (i) power-supply noise (due to switching...
Standard analysis techniques for Functional Magnetic Resonance Imaging (fMRI) assume a linear, time invariant model of underlying signal behaviour. These assumptions are valid for some but not all data. Hence each model characteristic should be formally tested for its validity when analysing particular data. Diagnosing model violations is a necessary step in statistical modeling but is not yet common...
One of the today challenges for the mesh networks researches is reliable transmission of multimedia traffic. This traffic demands high quality of service (QoS), to provide which it is suitable to use Mesh Coordinated Channel Access (MCCA) — the novel medium access method described in IEEE 802.11s. According to MCCA, mesh stations (STAs) set up periodic reservations; if all STAs in the network support...
In this paper we have analyzed multiple user interference based Standard Gaussian Approximation (SGA) model and packets collision (PC) model in IR-UWB wireless communication system., The paper also compares the system performance between the models based Gaussian pulse UWB and model based Hermit pulse UWB. Here we have considered the TH-PAM and TH-PPM based Impulse radio systems for evaluating MUI.
Spectrum sensing plays a critical role in cognitive radio networks (CRNs). The majority of spectrum sensing algorithms aim to detect the existence of a signal on a channel, i.e., they classify a channel into either busy or idle state, referred to as a two-state sensing model in this paper. While this model works properly when there is only one CRN accessing a channel, it significantly limits the potential...
This paper studies the identification of the wiener-Hammerstein model where the static nonlinearities are surrounded by two linear dynamic system. Therefore, we use a special form of nonlinearity representation ‘the multisegment piecewise-linear characteristic’ and the half-substitution approach to linearize and to separate the model parameters. Hence, due to linearity in the model parameters, we...
In this paper, we propose the application of low-rank matrix completion techniques for array signal processing. Specifically, under the assumption that the number of targets is generally much smaller than the number of antennas, the received signals can form a low-rank matrix with noise. According to the recently proposed matrix completion theory, only a subset of the entries are enough to recover...
This paper investigates analysis operator learning for the recently introduced cosparse signal model that is a natural analysis complement to the more traditional sparse signal model. Previous work on such analysis operator learning has relied on access to a set of clean training samples. Here we introduce a new learning framework which can use training data which is corrupted by noise and/or is only...
The use of fixed point arithmetic for digital signal processing applications has several benefits in terms of cost, energy consumption and time to market. The existing analytical approaches for evaluating fixed-point systems performance are not able to evaluate the error caused by quantization noise in the case of un-smooth operators such as decision operators and especially when the quantization...
In Mamdani Fuzzy modeling, the determination of fuzzy rules is easily influenced by the artificial factor and noise. Therefore the redundant rules are generated, the compatibility of rule base and the distinguishability of the fuzzy partition is decreased. I.e., the interpretability of the Mamdani model is weakened. Considering this, an Envolution-Objective Cluster Analysis-based Mamdani fuzzy modeling...
We study the parameters (knobs) of distribution-based anomaly detection methods, and how their tuning affects the quality of detection. Specifically, we analyze the popular entropy-based anomaly detection in detecting covert channels in Voice over IP (VoIP) traffic. There has been little effort in prior research to rigorously analyze how the knobs of anomaly detection methodology should be tuned....
Using the software package LabVIEW tools developed computer models of wireless communication channel with the possibility of their use in practical studies.
This paper presents analysis of 1/f phase noise compensation in a small signal common-base bipolar junction transistor (BJT) amplifier and experimental data of the compensation modeling. Analysis is performed with the computer algebra system Maxima and takes into account parameters that affected BJT performance at microwaves. The experiment showed the 10 dB reduction of phase fluctuations.
Noise Modeling and OFDM Based Receiver Design in Power-Line Communication Electromagnetic interference, man-made noise and multi-path effects are the main causes of bit errors in power line communication (PLC). In this paper, frequency domain characteristics of the power-line noise are investigated. The noise amplitude distribution of each individual frequency in the spectrum is analyzed and a suitable...
Risk and reward are fundamental concepts in the cooperative control of unmanned systems. In this research, we focus on developing a constructive relationship between cooperative planning and learning algorithms to mitigate the learning risk, while boosting system (planner & learner) asymptotic performance and guaranteeing the safety of agent behavior. Our framework is an instance of the intelligent...
We have revised the Markov model used in the analysis of microarray time-series data to uncover the gene regulatory network. Previous linear models establishes genetic relations between the microarray data which are assumed to have noise. We propose a new model to distinguish between observed data and real expression levels. The new model does not overestimate the noise and fits better the nature...
An interesting generalization of dynamic factor analysis models has been proposed recently by Forni, Lippi and collaborators. These models, called generalized dynamic factor analysis models describe observations of infinite cross-sectional dimension. Quite surprisingly the inherent non-uniqueness of factor analysis models does not occur in this generalized context. We attempt an explanation of this...
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