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For spaceborne phased arrays, real-time antenna calibration plays a critically important role. It is the premise of high performance digital beamforming. Conventional antenna calibration approaches usually need to interrupt normal communication traffic flows to perform calibration and thus data satellite communications are interrupted. In this paper, an online calibration method without interrupting...
Compressed sensing can represent the sparse signal with a small number of measurements compared to Nyquist-rate samples. Considering the high-complexity of reconstruction algorithms in CS, recently compressive detection is proposed, which performs detection directly in compressive domain without reconstruction. Different from existing work that generally considers the measurements corrupted by dense...
A study of different pixel implementations working around 300 GHz is presented. They are monolithically integrated in a standard low-cost CMOS process with a high performances read-out chain for signal processing. All the different pixel configurations are compliant with the integrated metal stack and the imposed density rules of the technology. A test-chip, composed of a total of 17 cases of study,...
To better characterize movement-related neurophysiological change, the authors propose to measure not only neural activity through the electroencephalogram (EEG) but also cerebral blood flow (CBF) using a new technology, near-infrared diffuse correlation spectroscopy (DCS). A preliminary trial is described, in which EEG, DCS, and exerted force were simultaneously recorded during a cue-triggered hand...
By injecting false data through compromised sensors, an adversary can drive the probability of detection in a sensor network-based spatial field surveillance system to arbitrarily low values. As a countermeasure, a small subset of sensors may be secured. Leveraging the theory of Matched Subspace Detection, we propose and evaluate several detectors that add robustness to attacks when such trusted nodes...
One of the most important issues that define the quality of life is the security and security of the people against the current threats mainly coming from terrorism. Traffic with narcotics and the irresponsible consumption of some drugs are also serious problems for humanity. The science and technology is on the permanent race to help authorities combat illegal activities such as explosives and narcotics...
In crowded scene abnormal event detection is a major issue. Many existing methods are there. Abnormal events are those which cannot be well represented. For example, if a flight is hijacked or it is damaged, it is due to some abnormal activities. Abnormal activities may occur due to human intervention or due to some weather conditions. So in this system we are using abnormal detector to detect the...
The purpose of this paper is to derive new asymptotic properties of the robust adaptive normalized matched filter (ANMF). More precisely, the ANMF built with Tyler estimator (TyE-ANMF) is analyzed under the framework of complex elliptically symmetric (CES) distributions. We show that the distribution of TyE-ANMF can be accurately approximated by the well-known distribution of the ANMF built with the...
The cardiovascular disease is one of the most common causes of death around the world. The analysis of electrocardiograms (ECGs) is an important tool in early diagnosis of arrhythmias. However, sometime the measurement data would be corrupted by noises which may cause by the wrong equipment operation, poor contact of the electrode, or even the breath of the users. These noises would make cardiologists...
Electrical arc faults represent a danger for today's power generation systems, and their detection can have a serious positive economic impact. In this paper we present a system for the detection and localization of DC electrical arc faults (typical for a photovoltaic power generation system). Our approach is based on the multidimensionality of the arc fault emissions, therefore we use a dual sensing...
This paper presents a signal processing framework for the problem of automatic credit card fraud detection. This is a critical problem affecting large financial companies that has increased due to the rapid expansion of information and communication technologies. The framework establishes relationships between signal processing and pattern recognition issues around a detection problem with a very...
Introducing random interruptions in the cooperation of the sensing nodes with the fusion center is a new approach to increase the efficiency of the centralized cooperative spectrum sensing in cognitive radio (CR) networks. In this paper, we extend this approach to the multiband cooperative spectrum sensing. Specifically, first, we formally show how to incorporate the random interruptions in a multiband...
The Median of Maxima Estimate (MOME) receiver is a distribution-free Constant False Alarm Rate (CFAR) receiver used to detect signal bursts against a time-varying, non-Gaussian background. Receiver configuration requires selecting four parameters that determine detection performance and adaptation rate. A semi-analytic method of determining the false alarm rate is proposed. This procedure avoids time...
We develop two resistant to noise secure communication schemes based on time-delayed feedback oscillators with switching of chaotic regimes. One of the proposed schemes exploits the identical synchronization between the transmitter and receiver while another system uses the regime of generalized synchronization. The proposed schemes are studied numerically and implemented in a physical experiment.
This paper describes the application and time domain signal processing of polyharmonic sinc function as an excitation signal for eddy current metal detectors. Limitations of all conventional eddy current metal detectors or induction devices in general reside in its limited ability to discriminate or unequivocally identify detected materials. To better identify or classify materials, the excitation...
The MicroBooNE experiment is a Liquid Argon Time Projection Chamber (LArTPC) detector located in the Booster Neutrino Beamline (BNB) at Fermilab at a baseline of 470 m and contains an active mass of 89 tons. The detector consists of a 2.5m × 2.3m × 10.4m TPC and includes an array of 32 PMTs used for triggering purposes. The inner TPC is housed in an evacuable and foam insulated cryostat vessel with...
This paper introduces the detector simulation code DECIMO under development at the ESRF as well as some of its first applications. The code is organized as a modular Python package designed to simulate in a relatively easy and efficient way the complete detection chains of future X-ray detectors for synchrotron radiation experiments. The core of the simulation engine is based on Monte Carlo techniques...
Recently we reported on a high efficiency, low gamma-sensitivity, high count rate capable 1D neutron detector consisting of ZnS:6LiF scintillator readout with WLS-fibers coupled to SiPMs which showed a performance comparable with a 3He-based detector. In this work we discuss a possible extension of the developed technology to large area 2D detectors with high count rate capability suitable, for example,...
‘Open-field’ PET imaging of freely moving rodents is a powerful paradigm because it enables the correlation of functional and behavioral outputs in response to environmental or pharmacologic stimuli. Use of motion compensation techniques provides a feasible framework for imaging a moving animal. However, to overcome the geometric and performance limitations encountered in adapting motion compensation...
A new, highly pixelated, PET scanner dedicated to mouse imaging is being developed based on the LabPET II detector module. Each module includes four monolithic array of 4×8 avalanche photodiodes (APD) individually coupled to four 4×8 array of 1.12×1.12 mm2 scintillator pixels aimed at achieving submillimetric spatial resolution. A PCB routes the signals from four detector arrays to two 64-channel,...
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