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Swarm robots are employed to measure scalar field on many missions. Estimating the scalar value of points near the swarm robots are necessary, when robots are deployed to explore a 2D(Two-Dimensional) scalar field or track some extreme points in it. But it would not to be effortless to get accurate value, since the sampled data are always contaminated by noise. In this paper a discrete state transition...
This paper presents the first stage of the analysis on determining the Signal Quality Coefficient in the vibro-acoustic domain. This stage is mandatory in order to determine if two analog signals, one considered “target” and the other “reference”, have a certain amount of similarity and the “target” waveform maintain its integrity reported to the “reference” waveform. This analysis can be used for...
We propose a novel noise cancellation method based on the scale-adaptive remixing and demixing of Intrinsic Mode Functions (IMFs) constructed using Empirical Mode Decomposition (EMD). The method addresses the problem of mode mixing in the EMD by performing mode demixing. An illustrative example using noisy random binary sequence is presented. The proposed approach allows achieving better denoising...
For secure transmissions, we consider direct sequence/spread spectrum (DS/SS) systems where pseudo-random (PN) sequences are used for spreading. To generate PN sequences, linear feedback shift registers (LFSRs) are employed, which are also used to generate keystreams in stream ciphers. For steam ciphers that use LFSRs, there are known attacks including correlation attacks that can regenerate keystreams...
In this paper, we propose a novel greedy iteration algorithm, called block matching pursuit (BMP), for arbitrary block sparse signal recovery. BMP can recover the target signal without prior information of block structure or block length and can estimate the true sparsity level. In each iteration, BMP processes a correlation test to estimate nonzero entries of signal with a fixed step size, and then...
This paper reports the anomaly of instruments that uses cross-spectrum method for the measurement of oscillator phase noise. Although, cross-spectrum techniques facilitate high sensitivity by correlation and averaging, it can give disingenuous measurement data depending upon many unknowns (phase-inversion, multi-mode spectrum associated with negative index dynamics, odd order harmonics, impedance/phase...
The Internet-of-Things (IoT) is the key enabling technology for transforming current urban environments into so-called Smart Cities. One of the goals behind making cities smarter is to provide a healthy environment that improves the citizens' quality of life and wellbeing. In this work, we introduce a novel data aggregation mechanism tailored to the application of large-scale air pollution monitoring...
The noise correlation matrix and noise parameters are parameters of interest for antennas, and antenna arrays, particularly in the radio-astronomy context. For a passive network, such as an antenna, 2-port scattering parameters can be used to establish a noise correlation matrix and consequently the antenna noise parameters. In this paper we show how the 2-port scattering parameters of an antenna...
Security Operation Centers rely on data triage to identify the true "signals" from a large volume of noisy alerts and "connect the dots" to answer certain higher-level questions about the attack activities. This work aims to automatically generate data triage automatons directly from cybersecurity analysts' operation traces. Existing methods for generating data triage automatons,...
We discuss the cross-spectral collapse due to anticorrelated thermal noise that originates from the common-mode power divider (splitter) in a cross-spectrum noise measurement system. We studied this effect for different power splitters and discuss its influence on the measurement of thermal-noise limited oscillators.
In this paper, we present noise-robust photoplethysmographic (PPG) based biometric authentication method for wireless body area networks and m-health applications. The method consists of four steps: (i) preprocessing of PPG signals, (ii) systolic peak detection, (iii) ensemble averaged pulsatile waveform extraction and (iv) pulsatile waveform similarity matching using a normalized cross correlation...
The paper outlines the main results of a novel and comprehensive analysis for the determination of the noise parameters of linear noisy microwave networks with any number of ports. The well-established approach by Lane for the case of linear 2 port networks becomes a particular case of this analysis. A thorough discussion of the results identifies practical requirements as well as constraints for...
Gate-last high-k metal gate technology introduced for the 45nm technology node added two new polishing steps in the front end of line (FEOL) flow: poly open polishing (POP) and Al replacement metal gate (Al RMG) chemical-mechanical polishing (CMP). For 20nm technology and below, even transistor gate height variation of only a few nanometers may lead to significant performance degradation of transistors...
Automatic food intake monitoring using wearable systems is a promising research direction in the fight against obesity and eating disorders. Previous work has indicated progress towards automatic food intake monitoring using acoustic sensors for detecting periods of food intake, swallowing and chewing detection, and discriminating between solid and liquid food intake. However, little effort has been...
We propose a new hybrid technique for reduction of poisson noise in scintigraphic images. Our proposed method is a combination of Gradient calculation and Adaptive Trimmed Mean filter (ATMF). In a predefined window, gradient of the center pixel is averaged out. ATMF remove the lowest and highest variations in the pixel values of Gradient denoised image and average out remaining neighborhood pixel...
Normalized cross-correlation template matching is used as a detection method in many scientific domains. To be practical, template matching must scale to large datasets while handling ambiguity, uncertainty, and noisy data. We propose a novel approach based on Dempster-Shafer (DS) Theory and MapReduce parallelism. DS Theory addresses conflicts between data sources, noisy data, and uncertainty, but...
The assumption of additive white Gaussian noise (AWGN) to model measurement is not valid since many applications such as in RF power measurement the noise is colored with 1/f spectrum characteristics. With this characteristics, the assumption of independently identically distribution (IID) used in signal detection and estimation becomes not valid. The autocorrelation function and power spectrum can...
Denoising a video data is one of the well-known problems in the field of video processing. The problem is still drags focus of researchers due to its relevance in data transmission, video display and other machine vision applications. Though, several algorithms are proposed for denoising a video, most of them denoise it frame by frame considering the spatial information present in a scene. The algorithms,...
In this paper we present a non-parametric approach to identification in networks. The main advantage of a non-parametric approach is that consistent estimates can be obtained with very little prior knowledge about the system. This is a particularly important consideration for a network identification problem which can easily become very complex with high order dynamics and many inputs. We consider...
Hyper spectral imaging is the latest imaging technologies which observe the Earth's surface using some hyper spectral sensors. The aim of this imaging is to obtain the spectrum for each detailed pixels carrying the image of the scene, for classifying objects, identifying materials. Noisy elements can decrease the classification accuracy by affecting the boundaries of particular objects so it will...
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