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In this paper, fractional spur suppression techniques for all-digital PLLs (ADPLLs) are summarized. The attention is paid to the recently proposed digital-to-time converter (DTC)-based ADPLL architecture. DTC's nonlinearity dominates the fractional spurs contribution. Its influence is modeled with a pseudo phase-domain ADPLL and its relationship with the spur level is quantitatively described. An...
This paper proposes a novel content removal technique for enhancing the camera identification performance. Here, very low bit rate videos with the overall noise patterns having time varying statistics are considered. First, different two dimensional discrete fractional Fourier transforms with different rotational angles are applied to the overall noise pattern of each frame of each video. Second,...
This paper reports the design of a 1mW, 10ns-latency mixed signal system in 0.18μm CMOS which enables filtering out uncorrelated background activity in event-based neuromorphic sensors. Background activity (BA) in the output of dynamic vision sensors is caused by thermal noise and junction leakage current acting on switches connected to floating nodes in the pixels. The reported chip generates a pass...
Significant improvement in no-reference image quality assessment (NR-IQA) methods has been demonstrated in recent years. The demonstrated prediction performance of proposed NR-IQA methods, in terms of correlations between predicted and subjective scores, has reached similar performance levels with full-reference image quality assessment (FR-IQA) measures, on popular image datasets. However, in our...
Despite recent advances, robust automatic segmentation for vertebrae computed tomography (CT) image still presents considerable challenges, mainly due to its inherent limitations, such as topological variation, irregular boundaries (double boundary, weak boundary) and image noises, etc. Therefore, this paper proposes a novel automatically initialized level set approach based on region correlation,...
Currently the volume of telecom network management data is expanding exponentially, mainly due to the explosive growth in the number of communicating devices along with the increase in heterogeneity of the networks. Such scale of data obsoletes the traditional approach of extracting offline analytics from the network traces governed by some pre-defined schemes. In order to increase the efficiency...
In this paper performance of Walsh-Hadamard sequences (WHS) for binary encoding of radar signals is described. It is shown that between WHS with length 8, 16 and 32 it is possible to find a set of orthogonal sequences with good properties. Probability of correct range detection of selected WHS in presence of active noise jamming is described and it is compared with cases when Barker code is used for...
Near-infrared spectroscopy (NIRS) is a noninvasive measurement method used to gain the information regarding brain activities through the scalp. Near-infrared light can penetrate several centimeters into the scalp tissue and indicate the oxygen concentration in the outer part of the cerebral cortex. Three major disturbances of NIRS are respiratory, the heartbeat, and Mayer waves. The nonlinear coupling...
Typically 2.5D maps provide a compact and efficient representation of the environment. When sensor data is obtained from multiple sets of noisy measurements at differing resolutions, the problem of compounding this information together to provide an effective and efficient means of mapping is not trivial, particularly as the size of the environment increases. In this paper, we propose a general framework...
Driven by the problems that the Tracking and Data Relay Satellite System (TDRSS) cannot meet the requirement of cooperative burst communication (CBC), a spreading code structure based on the burst signal pilot channel and a fast acquisition algorithm based on this new signal structure are proposed. The new designed spreading code is composed of short spreading code sequence modulated by overlay code...
In this paper, we propose a test of hypothesis improvement, by phase study of the analytical cross-correlation function in acoustical detection application. Robustness of false alarms probability for the Time Of Arrival (TOA) estimation represents the goal of the proposed method. After signal detection, TOA will be used to localize one receiver, thanks to a grid of transmitters (more than 3), thanks...
We have recently completed a project to create a swarm of 20 miniature, 1.5 liter vehicles that can be deployed autonomously to track underwater currents. The results of several afternoons of experiments, where the vehicles were kept at depth, indicate the passage of several internal waves, illustrating their utility. However, a time consuming and complicated aspect of their deployment is the installation...
Important processes that affect the Earth, for example climate change and geohazards, are driven by phenomena that take place in the oceans. To better understand and mitigate the effects of these processes, an important international effort is taking place to deploy permanent and remotely controlled seafloor and water-column observatory systems. In Europe, large cabled systems with marine sensors...
Calibration models have been widely used for estimating product quality or other key variables with near-infrared spectroscopy (NIRS), and it is important to select appropriate input variables (wavelengths) for building a highly accurate calibration model. A novel input variable selection method based on nearest correlation spectral clustering (NCSC), which is a correlation-based clustering method,...
In this paper, we construct a composite label sets for optical multi-protocol label switching (MPLS) network. Relatively prime lengths maximal-length (M-sequence) codes are taken to compose into spectral-amplitude coding (SAC) labels. These composite M-labels possess good orthogonality and are compatible with packet labels stacking. With correlation subtraction scheme in packet routing node, local...
We consider the problem of narrow-band signal detection in a passive sonar environment. The classical method employs a fast Fourier Transform (FFT) delay-sum beamformer in which the feature used in detection is the output of the FFT spectrum analyser in each frequency bin. This is compared to a locally estimated mean noise power to establish a likelihood ratio test (LRT). In this paper, we suggest...
A common algorithm-level effective countermea-sure against side-channel attacks is random masking. However, second-order attack can break first-order masked devices by utilizing power values at two time points. Normally 2nd-order attacks require the exact temporal locations of the two leakage points. Without profiling, the attacker may only have an educated guessing window of size nw for each potential...
"Outliers" or "anomalous data points" occur frequently in practice and can have devastating effects on process data analysis, empirical modeling, or controller implementation. This paper briefly examines the nature of these anomalous data points, their influence, and three possible approaches to dealing with them. One of the key points of this paper is that effective procedures...
If there are significant amounts of data missing, this requires special algorithms for system identification. Such methods have been previoulsy developed and typically result in iterative procedures for the parameter estimation. Since missing data could be viewed as irregular sampling (decimation) of the signals, it is obvious that there is a risk for aliasing. In this case aliasing manifests itself...
Heart sound is a valuable biosignal for early detection of a large set of cardiac diseases. Ambient and physiological noise interference is one of the most usual and high probable incidents during heart sound acquisition. It tends to change the prominent and crucial characteristics of heart sound which may possess important information for heart disease diagnosis. In this paper, we propose a new method...
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