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In this paper, a joint synchronization and Doppler scaling factor estimation algorithm has been proposed for underwater acoustic communications. The training sequence, which consists of two Zadoff-Chu (ZC) sequences being conjugate with each other, is utilized to synchronize and estimate Doppler scaling factor, time delay and carrier frequency offsets (CFOs). ZC sequences are well designed to show...
Methods based on order statistics are often used in finance, quality control, data and signal processing, especially when signals of interest are immersed in impulsive noise. These allow to include rank information by increasing the dimension of the problem. In large dimension problems, we are usually required to know only the second order statistics. In this article we use a rank-one quadratic measurement...
The paper deals with the estimation method of a carrier and time of arrival by chirp-like phase-coded sequence. The developed estimation method of the carrier and time of arrival is suitable for primary synchronization upon signal detection in phase and frequency modulation modems. This method is of less computational complexity relative to the realization of matched filter assembly. To implement...
Obesity is increasing globally and is a risk factor for many chronic conditions such as such as heart disease, sleep apnea, type-2 diabetes, and some cancers. Research shows that food logging is beneficial in promoting weight loss. Crowdsourcing has also been used in promoting dietary feedback for food logging. This work investigates the feasibility of crowdsourcing to provide support in accurately...
The speed of the target can be estimated by the sound pressure cross-correlation of the line spectrum of the moving target at different time intervals. However, a slight deviation of the line spectrum has a significant influence on the estimated result. In this paper this phenomenon is analyzed from the theory, then the speed of the target is estimated when the line spectrum is biased. Experimental...
The micro-Doppler (m-D) feature is regarded as a unique characteristic for target recognition. Sparse recovery based approaches for m-D parameter estimation using the single measurement vector (SMV) model have shown their effectiveness recently. However, SMV only fits for narrowband m-D signals, and accurate parameters can hardly be estimated using SMV in strong noise. The signals with the same sparse...
Communication system commonly exists cochannel interference, which is the main reason why the accuracy of directions-of-arrival (DOAs) estimation is low especially in an alpha stable distribution noise environment. Though the second-order DOA estimation algorithms work well in Gaussian noise, while the methods based on fractional lower-order statistics may do well but which depend on much of apriori...
This paper proposes an on-board state-of-health (SoH) estimation method based on the charging current curve during the constant-voltage (CV) stage. Through analyzing the battery aging cycle data, the equivalent time constant based on the equivalent circuit model (ECM) is introduced to describe the dynamic characteristic of the current curve during the CV stage. In addition, only partial current curves...
Accurate estimation of the vehicle sideslip angle is fundamental in vehicle dynamics control and stability. In this paper two different methods for vehicle sideslip estimation, based on Principal Component Analysis (PCA) and Neural Networks (NN), are presented comparing the procedure responses with full-scale vehicle acquired test data. The estimation algorithms use driver's steering angle, lateral...
The radio holography method performs the direction-of-arrival (DOA) estimation of radio waves with a relatively simple array system because it uses a reference antenna. This paper proposes a new radio holography method in which cyclic correlations of digital-modulation signals are introduced for the DOA estimation of desired signals only. The DOA estimation accuracy of the method is evaluated by computer...
The recent advances of compressive sensing (CS) have witnessed a great potential of traffic condition estimation in road networks. In this paper, we propose a traffic estimation approach that applies compressive sensing technique to achieve a city-scale traffic estimation with only a small number of vehicle probes. In particular, we construct a new type of random matrix for CS which can significantly...
We propose an efficient method to estimate source power spectral densities (PSDs) in a multi-source reverberant environment using a spherical microphone array. The proposed method utilizes the spatial correlation between the spherical harmonics (SH) coefficients of a sound field to estimate source PSDs. The use of the spatial cross-correlation of the SH coefficients allows us to employ the method...
In this paper, an adaptive error concealment method is proposed to recover the motion vectors of degraded macroblocks (MBs) in a frame, based on analyzing the behavior of the MBs in the frames. In this method, the behavior of the degraded MB is first estimated considering the obtained information from motion vectors of neighboring MBs in the current frame and collocated MBs in the previous frames...
Multi-rotor UAV is a popular platform for low-cost SAR system because it has small volume, lightweight and flexible motion. However, due to complicated flight trajectory and low-accuracy motion sensor, autofocus in SAR processing becomes a challenging problem. In consideration of the characteristics of multi-rotor UAV SAR, this paper proposes an autofocus algorithm based on improved Mapdrift technology...
Presented paper deals with a model of the electromagnetic sources localization in near-field sources region and verification of selected algorithms for correct modelling estimations. The localization is performed from cross-correlation matrix of planar sensors network signals and further cross-correlation matrix decomposition — Multiple Signal Classification (MUSIC). The whole mathematical model from...
We propose an efficient meta-algorithm for Bayesian inference problems based on low-degree polynomials, semidefinite programming, and tensor decomposition. The algorithm is inspired by recent lower bound constructions for sum-of-squares and related to the method of moments. Our focus is on sample complexity bounds that are as tight as possible (up to additive lower-order terms) and often achieve statistical...
The article is devoted to the construction of a mathematical model and the algorithm for reducing a set of staganalytical correlated methods taking into account the computational complexity of the problem. The basic steganographic methods for the images spatial domain are described. Known steganalytical algorithms for the spatial domain are reviewed. It is shown that a significant number of steganalytical...
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 a personalized preference estimation method for video recommendation. Our method not only uses deep convolutional neural network (DCNN)-based video features but also transforms them based on user's viewing behavior in order to improve accuracy of preference estimation for a video. Specifically, we adopt supervised multi-view canonical correlation analysis (sMVCCA) in order to calculate...
Aesthetic quality assessment plays an important role in how people organize large image collections. Many studies on aesthetic quality assessment are based on design of hand-crafted features without considering whether attributes conveyed by images can actually affect image aesthetics. This paper presents an aesthetic quality assessment method which uses new visual features. The proposed method utilizes...
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