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A novel noise whitening technique of blind subspace channel estimations is proposed for cyclic prefixing multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems. A fast convergence subspace channel estimation for cyclic prefixed MIMO-OFDM systems was presented in [1] where the repetition index was used to increase the number of equivalent received signals. However,...
The modified Luise and Reggiannini (L&R) algorithm is one of the frequency offset estimation algorithms suitable for use with the Digital Video Broadcasting — Satellite (DVB-S2) standard. Recently we demonstrated an enhanced poly-polarization multiplexing (EPPM) system incorporating L&R frequency recovery as a hardware prototype in order to evaluate its high spectral-efficiency in a real satellite...
Sensor pattern noise (SPN) has been proved to be an inherent fingerprint of a camera, and it has been broadly used in the fields of image authentication and camera source identification. However, the SPN extracted using current denoising algorithm always contains image content residual, which would significatively influence the accuracy of camera source identification. In this paper, a novel patch-based...
Incorporation of user feedback in enterprise management products can greatly enhance our understanding of modern technology challenges and amplify the ability for those products to home in to user environments. In this paper we present an entropy-based confidence determination approach to process user feedback data (direct or indirect) to automatically rank and update the beliefs of any recommender...
Noises are inevitable when mining software archives for software fault prediction. Although some researchers have investigated the noise tolerance of existing feature selection methods, few studies focus on proposing new feature selection methods with a certain noise tolerance. To solve this issue, we propose a novel method FECS (FEature Clustering with Selection strategies). This method includes...
We address the task of restoring RGB images taken under low illumination (e.g. night time), when an aligned near infrared (NIR or simply N) image taken under stronger NIR illumination is available. Such restoration holds the promise that algorithms designed to work under daylight conditions could be used around the clock. Increasingly, RGBN cameras are becoming available, as car cameras tend to include...
In this paper, different strategies for the calculation of the Harte's Harmonic Change Detection Function (HCDF) are discussed. HCDFs can be used for detecting chord boundaries for Automatic Chord Estimation (ACE) tasks, where the chord transitions are identified as peaks in the HCDF. We show that different audio features and different novelty metric have significant impact on the overall accuracy...
In Continuous Wave (CW) Radars, especially ones transmitting noise signals, the masking effect may cause weak echoes to be completely masked in the sidelobes of strong echo targets. In radars where the transmit and receive antennas are close to each other, the strongest signals are direct crosstalk and close reflections. In this paper a novel mismatched filter is considered for suppressing the range...
This paper presents the method and a special approach to signal processing in acoustic passive radar for retrieving aircraft motion parameters. The algorithm of aircraft position determination based on its acoustic noise measurement is developed. This algorithm makes processing of multiple input signals, which are received from several acoustic aerials with definite number of microphones in each of...
Functional magnetic resonance imaging (fMRI) has become a common tool in investigating brain activities on human subjects. Although each region of the brain was thought to be independent and responsible only for particular tasks and specialized functions, recent studies have shown that different regions of the brain interact with each other in performing specific tasks or even during the resting state...
In many radar applications, including marine, automotive and MIMO, there is a need for orthogonal transmission from different radar sets to mitigate mutual interference; the same applies to the different channels in a MIMO radar. New techniques, belonging to the cyclic algorithm family, might be used to generate orthogonal signals with, in addition, low sidelobes in their autocorrelation function...
G.fast is the most recent ITU-T standard for copper-based transmission, which targets at short distances and adopts a bandwidth of 106 MHz extensible to 212 MHz. In several scenarios G.fast systems will be composed by or coexist with uncoordinated lines, which are sources of strong crosstalk. This work focuses on evaluating an alien (out-of-domain) crosstalk mitigation method based on noise prediction...
The root cause of degradation and failure in nanoscale logic and memory devices originates from discrete defects (traps) that are created in the ultra-thin dielectrics during fabrication (process-induced) and / or voltage and temperature stress (stress-induced). In order to probe the chemistry of every discrete trap in terms of its bond state, charge state, physical location, region of influence,...
In this paper we describe the space grade camera we developed for the Polarimetric and Helioseismic Imager (PHI) instrument of the Solar Orbiter (SO) mission. The camera, called Correlation Tracking Camera (CTC) will be part of the Image Stabilization System (ISS) used to compensate the spacecraft jitter. Since the ISS works on a correlator basis, the CTC requires a high frame rate while keeping the...
Electromagnetic spectrum scarcity is undoubtedly an issue nowadays given the demand for quality of service of wireless communication systems and its development. It makes necessary to use this resource efficiently. One possible solution is the spectrum sensing task in cognitive radio networks. This paper aims to analyze some cooperative eigenvalue-based spectrum sensing techniques under correlated...
The algorithm of correlation detection of seismic pulses in grid nodes, which are located by the original method of hydraulic fracturing monitoring, is explored and applied in this work. The algorithm provides high quality of detection with a random initial phase of a seismic pulse.
The algorithm of synthesis of a two-point distributed object model has been treated. Algorithm permits to determine the ability to replace the two-point distributed object model, also to calculate the parameters of the model: position of model emitters, the signal power received on its transducers and the autocorrelation and cross-correlation functions of quadrature components of the signals that...
Background modeling and subtraction is a classical topic in compute vision. Gaussian mixture modeling (GMM) is a popular choice for its capability of adaptation to background variations. Lots of improvements have been made to enhance the robustness by considering spatial consistency and temporal correlation. In this paper, we propose a sharable GMM based background subtraction approach. Firstly, a...
Signal recovery from the magnitude of the Fourier transform, or equivalently, from the autocorrelation, is a classical problem known as phase retrieval. Due to the absence of phase information, some form of additional information is required in order to be able to uniquely identify the underlying signal. In this work, we consider the problem of phase retrieval using masks. Due to our interest in developing...
Detecting the presence of target subspace signals with unknown clutters is a well-known hard problem encountered in various signal processing applications. Traditional methods fails to solve this problem because prior knowledge of clutter subspace is required, which can not be obtained when target and clutter are intimately mixed. In this paper, we propose a novel subspace detector that can detect...
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