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Ballistocardiogram (BCG) has been revisited in the last years as an unobtrusive method to detect heart beats. New electromechanical film (EMFi) sensors are now able to detect minimal oscillations in its surface, allowing to detect the mechanical action of the heart as it beats. This has allowed to develop unobtrusive systems for heart rate monitoring to be used as Point-of-Care devices, and to deploy...
According to the state conversion idea of Markov process, we propose a new chaotic sequence quantization algorithm. The Markov quantization algorithm (MQA) we proposed solves the problem of poor sequence balance which is caused by the asymmetry of probability distribution on both sides of the threshold in binary quantization algorithm (BQA). Both the theoretical and simulation study results show that...
In this paper, the problem of single-channel blind source separation (SCBSS) of a mixture of two co-frequency phase-shift keying (PSK) signals with unknown carrier frequency offsets (CFOs) is investigated. Two SCBSS algorithms which are robust to CFOs are proposed to perform separation of the mixture signals. In the first algorithm, the phase changes of the received signals caused by CFOs are tracked...
Benefiting from compressed sensing theory, sub-Nyquist spectrum sensing (SNSS) has been considered as a promising way to deal with the implementation limitations of conventional wideband spectrum sensing in cognitive radio (CR) networks. However, in most existing SNSS methods, the prior knowledge of the monitored frequency bands is needed to determine the termination condition of the iteration process...
In this paper, several methods based on signal processing on graphs are proposed to improve the performance of credit card fraud detection. The proposed methods consist of a variant of the classic iterative amplitude adjusted Fourier transform (IAAFT) and two methods that we have called iterative surrogate signals on graph algorithms (ISSG). The objective is to generate surrogate samples from the...
This paper addresses the problem of speech quality enhancement and acoustic noise reduction by adaptive filtering algorithms. In this paper, we propose a new version of the set-membership partial-update normalized least mean square (SM-PU-NLMS) algorithm. The proposed algorithm is based on the use of the cross-correlation of the output error signal and the noisy to control the variable-step-size in...
To address the problem of direction of arrival (DOA) of fast moving target in accelerated scenario, a new DOA estimation algorithm based on the generalized almost-cyclostationary processes analysis is proposed. First, the property of fast moving target signal with a constant relative acceleration is discussed. We reveal that the received signal arises cyclostationarity even for the accelerated target...
This paper presents the computational procedure of the most generalized version of the stabilized fast Recursive Least Squares (RLS) adaptive filtering algorithm. It is considered the algorithm for the adaptive filters with an unequal number of weights in channels. The using of the sliding window and dynamic regularization, when the correlation matrix is estimated, allows the algorithm to process...
The prediction of the movement of a floating object in the ocean, such as an iceberg, is a challenging problem. Large uncertainties in the driving forces and possibly in the geometry of the object itself prevent accurate forecasts. However, if observations of the past trajectory of the object are available the forecast can be improved considerably. This article proposes an adaptive data-driven forecast...
We consider the problem of covariance estimation with projected or missing data, and in particular the application to spatial channel covariance estimation in a multi-user Massive MIMO wireless communication system with arbitrary (possibly time-varying and/or non-orthogonal) pilot sequences. We introduce batch and online estimators based on the expectation-maximization (EM) approach, and provide sufficient...
The recovery of periodic signals from their noisy single channel mixtures has made wide use of the adaptive line enhancer (ALE). The ALE, however, is not designed for detection of two-(2-D) or three-dimensional (3-D) periodic signals such as tremor in an unconstrained hand motion. An ALE which can perform restoration of 3-D periodic signals is therefore required for such purposes. These signals may...
We study the problem of interference mitigation in a phased array, where a subset containing k out of a total of N receivers creates a virtual spatial null for an incoming interference. The signal-of-interest and interference are represented by their corresponding steering vectors, and an optimum subarray is chosen such that the two vectors are as orthogonal as possible. This optimization is a binary...
A new phantom excludability algorithm based on speciality of sensor and target was proposed in this paper in order to exclude the false intersection points on direction finding process for emitting lines in passive cross location. Firstly, deduce the correlation stretch angle, candidate observation set and effective observation set with maximum detection range of each sensor, relative location of...
It is indispensable to take a low complexity and high accuracy channel estimation algorithm into account under rapidly growth in wireless communication. In this paper, we propose an algorithm for channel estimation using complementary sequence (CS). By utilizing the fantastic autocorrelation property of CS, time domain channel estimation can be easily achieved. We analyzed the complementary sequence,...
This paper considers a multi-user multiple-input multiple-output (MU-MIMO) visible light communication (VLC) interference channel. The multi-user interference (MUI) can be successfully eliminated with the perfect knowledge of channel state information (CSI). However, the perfect information may not be available at transmitter, which will lead to severe interference and consequently degrade the system...
In this paper the long standing major challenge of designing binary sequences with good (aperiodic) autocorrelation properties in terms of Peak Sidelobe Level (PSL) and Integrated Sidelobe Level (ISL) is considered. The problem is formulated as a bi-objective Pareto optimization forcing the binary constraint at the design stage. An iterative novel FFT-based approach exploiting the coordinate descent...
In order to improve the signal-to-noise ratio(SNR) of the noise-contaminated signal and speed up the calculation speed. Firstly, digital average and correlation analysis two traditional methods is introduced in this paper, and then a new fusion algorithm method based on packet digital average and correlation analysis is proposed. Furthermore, simulations based on MATLAB of digital average, correlation...
In this paper, a strategy is proposed to estimate the R-peaks in ECG signals recorded inside a 7 T magnetic resonance imaging (MRI) scanner in order to reduce the disturbances due to the magnetohydrodynamic (MHD) effect and to finally obtain high quality cardiovascular magnetic resonance (CMR) images. We first show that the cyclostationarity property of the ECG signal disturbed by the MHD effect can...
In the near future, digital subscriber line (DSL) network operators will start deploying G.fast technology to stay competitive in the broadband market. G.fast provides data rates of up to 1 Gbps, which is a 10× higher data rate than offered by the widely deployed very high speed DSL 2 (VDSL2) technology. In this paper we propose a novel algorithm to prequalify existing VDSL2 customers for G.fast services...
Accurate and robust state estimation is a fundamental problem in signal processing. Particle filter is an effective tool to solve the filtering problem in nonlinear stochastic dynamic systems. However, when the system is mean-field dependent and the data is high-dimensional in spatial and temporal domain, the estimator may become inaccurate or even diverge. In this paper, we propose a Correlative...
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