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This article, discusses the problem with the influence of offset voltages and their drives generated in the measuring system in the process of forming a digital equivalent to a pre-formed value. A method and a schematic solution are proposed to reduce the total offset voltages in a measuring line, based on the mixed signal technology. Its limitations have been defined in relation to transformation...
The key to the Smart Grid vision are the communication networks, which serve as the fundamental information infrastructure to provide bidirectional end-to-end data communication in the Smart Grid. To enable this bidirectional end-to-end data communication, narrowband power line communication (PLC) systems are attractive because they can be deployed over existing outdoor power lines. The paper describes...
Chaotic detection is presented to deal with the problem that the weak electrical signals of a stator are difficult to measure when a motor is at a low speed. In practice, traditional chaotic method will take a long time, and it is not accurate enough, so cell mapping theory is introduced, and this approach is faster and more accurate compared with the traditional chaotic method.
We consider practical aspects of lossy compression with application to multispectral images provided by Landsat sensor. Two facts are taken into account: 1) the inherent noise presence and its properties; 2) rather high degree of component correlation. These properties in different degree are used in 2D and 3D lossy compression. Comparison of the suggested approaches has been carried out for some...
We investigated differentiated signal from output of filter widely used in engineering, which is based on moving average method. We determined influences of different parameters on filtered signal error. We provided filter structure, that does not require further heuristic tuning.
with becoming a complex structure of the electricity network, smart grid architecture and technologies became very important. The most widespread smart grid technology is PLC for managing and controlling the devices in the electricity network. To design a reliable PLC device is not a straightforward issue, especially channel characteristics must be known such as impedance, noise level and attenuation...
A scheme to sample bandlimited graph signals in the presence of noise is analyzed. Samples are aggregated at a single node by successive applications of the so-called graph-shift operator that encodes the local structure of the underlying graph. In contrast to the noiseless case, when noise is present the choice of the sampling node and the local sample-selection scheme plays a major role in determining...
While observation sets for an individual object in orbit can be quite data-sparse, the sheer number of objects in orbit makes the tracking problem as a whole data-rich. As such it is infeasible for humans to process these measurements manually. While orbit determination procedures are largely automated the resulting solutions can be quite poor when the assumed dynamics are flawed due to mismodeled...
Interaction analysis is defined as the generation of semantic descriptions from machine perception. This can be achieved through a combination of fuzzy metric temporal logic (FMTL) and situation graph trees (SGTs). We extended the FMTL/SGT framework with modules for clustering and parameter learning and we showed their advantages. The contributions of this paper are 1) the combination of FMTL/SGT...
Contrast enhancement is one of the most studied problems in image processing. A plethora of approaches has been proposed in the literature for image enhancement since the pioneer work of Kovasznay and Joseph in 1955 [1] and the famous contribution of Gabor in 1965 on image deblurring [2]. However, very few works have been dedicated to contrast enhancement evaluation. This is mainly due to the fact...
In HF (3–30 MHz) communications the ambient electromagnetic background noise or ‘radio noise’ generally is the limiting factor in reception. Radio noise measurements are needed for spectrum pollution control and to provide reference levels for radio system design. This article discusses the influence of the measurement antenna on the measurement results. A novel method to compare the polarization...
Most of the existing sparse recovery methods are based on the squared error criterion, i.e., ℓ2-norm metric, by appropriately adding to a sparsity-promoting regularizer. This criterion is, however, statistically optimal only when the noise are Gaussian distributed. In fact, non-Gaussian impulsive noise with heavy tailed distribution has been reported in a variety of practical applications. To guarantee...
A convex optimization based approach is presented to perform model-data assimilation of spatial temporal dynamical systems where sensor error characteristics are not available. The key idea of the proposed technique is that one should not make any assumption regarding the statistical properties of sensor data when they are not available. Recently developed quadrature scheme, Conjugate Unscented Transformation...
Most of the image acquisition algorithms neglect the illumination problem like shadows and direction of illumination changes as well the image degradation caused by motion blur, noise introduction in several intermediate process. This paper presents a novel method of high resolution image generation by interpolating local gradient field and subsequent training of LR cluster patches by fuzzy learning...
The predicted increase in the frequency and magnitude of climate extremes threatens the stable delivery of crucial ecosystem services, such as water purification, climate regulation and the delivery of wood and products. Within that context, it is important to assess and monitor the stability of ecosystems with respect to environmental anomalies at large spatial scales. Time series of vegetation properties...
A novel approach for matching event sequences, that result from threshold-based sampling, is introduced. This approach relies on Hermann Weyl's discrepancy norm, which plays a central role in the context of stability analysis of threshold-based sampling. This metric is based on a maximal principle that evaluates intervals of maximal partial sums. It is shown that minimal length intervals of maximal...
Determining test coverage for digital circuits is a commercially solved problem. This solution enables Design-forTest (DfT) which is justified by the increase in test coverage achieved. Applying digital tools to analog and mixed-signal circuits requires modeling analog circuit behavior. By representing single-wire analog behavior using a digital bus, the multi-level nature of analog signals can be...
In today's large social and technological networks, since it is unfeasible to observe all the nodes, the source of diffusion is determined based on the observations of a subset of nodes. The probability of source localization error depends on the particular choice of observer nodes. We propose a criterion for observer node selection based on the minimal pairwise Chernoff distance between distributions...
The main usage of cellular networks has changed from voice to data traffic, mostly requested by static users. In this paper, we analyze how a cellular network should be designed to provide such wireless broadband access with maximal energy efficiency (EE). Using stochastic geometry and a detailed power consumption model, we optimize the density of access points (APs), number of antennas and users...
Robust, scalable place recognition is a core competency for many robotic applications. However, when revisiting places over and over, many state-of-the-art approaches exhibit reduced performance in terms of computation and memory complexity and in terms of accuracy. For successful deployment of robots over long time scales, we must develop algorithms that get better with repeated visits to the same...
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