Articles

Sequential Monte Carlo for inference of latent ARMA time-series with innovations correlated in time

We consider the problem of sequential inference of latent time-series with innovations correlated in time and observed via nonlinear functions. We accommodate time-varying phenomena with diverse properties by ...

Authors: Iñigo Urteaga, Mónica F. Bugallo and Petar M. Djurić

A novel time of arrival estimation algorithm using an energy detector receiver in MMW systems

This paper presents a new time of arrival (TOA) estimation technique using an improved energy detection (ED) receiver based on the empirical mode decomposition (EMD) in an impulse radio (IR) 60 GHz millimeter ...

Authors: Xiaolin Liang, Hao Zhang, Tingting Lyu, Han Xiao and T. Aaron Gulliver

A novel method for the detection of R-peaks in ECG based on K-Nearest Neighbors and Particle Swarm Optimization

Cardiovascular diseases are associated with high morbidity and mortality. However, it is still a challenge to diagnose them accurately and efficiently. Electrocardiogram (ECG), a bioelectrical signal of the he...

Authors: Runnan He, Kuanquan Wang, Qince Li, Yongfeng Yuan, Na Zhao, Yang Liu and Henggui Zhang

A reverberation-time-aware DNN approach leveraging spatial information for microphone array dereverberation

A reverberation-time-aware deep-neural-network (DNN)-based multi-channel speech dereverberation framework is proposed to handle a wide range of reverberation times (RT60s). There are three key steps in designi...

Authors: Bo Wu, Minglei Yang, Kehuang Li, Zhen Huang, Sabato Marco Siniscalchi, Tong Wang and Chin-Hui Lee

Evaluation of a speaker identification system with and without fusion using three databases in the presence of noise and handset effects

In this study, a speaker identification system is considered consisting of a feature extraction stage which utilizes both power normalized cepstral coefficients (PNCCs) and Mel frequency cepstral coefficients ...

Authors: Musab T. S. Al-Kaltakchi, Wai L. Woo, Satnam Dlay and Jonathon A. Chambers

Bayesian fault detection and isolation using Field Kalman Filter

Fault detection and isolation is crucial for the efficient operation and safety of any industrial process. There is a variety of methods from all areas of data analysis employed to solve this kind of task, suc...

Authors: Jerzy Baranowski, Piotr Bania, Indrajeet Prasad and Tian Cong

A hardware-oriented concurrent TZ search algorithm for High-Efficiency Video Coding

High-Efficiency Video Coding (HEVC) is the latest video coding standard, in which the compression performance is double that of its predecessor, the H.264/AVC standard, while the video quality remains unchange...

Authors: Nghia Doan, Tae Sung Kim, Chae Eun Rhee and Hyuk-Jae Lee

A RSSI-based parameter tracking strategy for constrained position localization

In this paper, a received signal strength indicator (RSSI)-based parameter tracking strategy for constrained position localization is proposed. To estimate channel model parameters, least mean squares method (...

Authors: Jinze Du, Jean-François Diouris and Yide Wang

Intelligent assistant carer for active aging

We present the concept of an Intelligent Assistant Carer system for the elderly, designed to help with active aging and to facilitate the interactions with carers. The system is modular, allowing the users to ...

Authors: Jani Bizjak, Anton Gradišek, Luka Stepančič, Hristijan Gjoreski and Matjaž Gams

Strategies for informed sample size reduction in adaptive controlled clinical trials

Clinical trial adaptation refers to any adjustment of the trial protocol after the onset of the trial. The main goal is to make the process of introducing new medical interventions to patients more efficient. ...

Authors: Ognjen Arandjelović

A novel segmentation method for uneven lighting image with noise injection based on non-local spatial information and intuitionistic fuzzy entropy

Local thresholding methods for uneven lighting image segmentation always have the limitations that they are very sensitive to noise injection and that the performance relies largely upon the choice of the init...

Authors: Haiyan Yu and Jiulun Fan

On the security of compressed encryption with partial unitary sensing matrices embedding a secret keystream

The principle of compressed sensing (CS) can be applied in a cryptosystem by providing the notion of security. In this paper, we study the computational security of a CS-based cryptosystem that encrypts a plai...

Authors: Nam Yul Yu

On the robustness of set-membership adaptive filtering algorithms

In this paper, we address the robustness, in the sense of l ₂-stability, of the set-membership normalized least-mean-square (SM-NLMS) and the set-membership affine projection (SM-AP) algor...

Authors: Hamed Yazdanpanah, Markus V. S. Lima and Paulo S. R. Diniz

MapReduce particle filtering with exact resampling and deterministic runtime

Particle filtering is a numerical Bayesian technique that has great potential for solving sequential estimation problems involving non-linear and non-Gaussian models. Since the estimation accuracy achieved by ...

Authors: Jeyarajan Thiyagalingam, Lykourgos Kekempanos and Simon Maskell

Categorization of species based on their microRNAs employing sequence motifs, information-theoretic sequence feature extraction, and k-mers

Diseases like cancer can manifest themselves through changes in protein abundance, and microRNAs (miRNAs) play a key role in the modulation of protein quantity. MicroRNAs are used throughout all kingdoms and h...

Authors: Malik Yousef, Dawit Nigatu, Dalit Levy, Jens Allmer and Werner Henkel

Analysis of the maximum likelihood channel estimator for OFDM systems in the presence of unknown interference

This paper is a theoretical analysis of the maximum likelihood (ML) channel estimator for orthogonal frequency-division multiplexing (OFDM) systems in the presence of unknown interference. The following theore...

Authors: Azzouz Dermoune and Eric Pierre Simon

UWB pulse detection and TOA estimation using GLRT

In this paper, a novel statistical approach is presented for time-of-arrival (TOA) estimation based on first path (FP) pulse detection using a sub-Nyquist sampling ultra-wide band (UWB) receiver. The TOA measu...

Authors: Yan Xie, Gerard J.M. Janssen, Siavash Shakeri and Christiaan C.J.M. Tiberius

An adaptive dynamically weighted median filter for impulse noise removal

A new impulsive noise removal filter, adaptive dynamically weighted median filter (ADWMF), is proposed. A popular method for removing impulsive noise is a median filter whereas the weighted median filter and c...

Authors: Sajid Khan and Dong-Ho Lee

Approximate equiangular tight frames for compressed sensing and CDMA applications

Performance guarantees for recovery algorithms employed in sparse representations, and compressed sensing highlights the importance of incoherence. Optimal bounds of incoherence are attained by equiangular uni...

Authors: Evaggelia Tsiligianni, Lisimachos P. Kondi and Aggelos K. Katsaggelos

Sequential estimation of intrinsic activity and synaptic input in single neurons by particle filtering with optimal importance density

This paper deals with the problem of inferring the signals and parameters that cause neural activity to occur. The ultimate challenge being to unveil brain’s connectivity, here we focus on a microscopic vision...

Authors: Pau Closas and Antoni Guillamon

DOA estimation for conformal vector-sensor array using geometric algebra

In this paper, the problem of direction of arrival (DOA) estimation is considered in the case of multiple polarized signals impinging on the conformal electromagnetic vector-sensor array (CVA). We focus on mod...

Authors: Tianzhen Meng, Minjie Wu and Naichang Yuan

Efficient multichannel acoustic echo cancellation using constrained tap selection schemes in the subband domain

Acoustic echo cancellation (AEC) is a key speech enhancement technology in speech communication and voice-enabled devices. AEC systems employ adaptive filters to estimate the acoustic echo paths between the lo...

Authors: Naveen Kumar Desiraju, Simon Doclo and Tobias Wolff

NLOS mitigation in indoor localization by marginalized Monte Carlo Gaussian smoothing

One of the main challenges in indoor time-of-arrival (TOA)-based wireless localization systems is to mitigate non-line-of-sight (NLOS) propagation conditions, which degrade the overall positioning performance....

Authors: Jordi Vilà-Valls and Pau Closas

A novel aliasing-free subband information fusion approach for wideband sparse spectral estimation

Wideband sparse spectral estimation is generally formulated as a multi-dictionary/multi-measurement (MD/MM) problem which can be solved by using group sparsity techniques. In this paper, the MD/MM problem is r...

Authors: Ji-An Luo, Xiao-Ping Zhang and Zhi Wang

DOA-informed source extraction in the presence of competing talkers and background noise

A desired speech signal in hands-free communication systems is often degraded by noise and interfering speech. Even though the number and locations of the interferers are often unknown in practice, it is justi...

Authors: Maja Taseska and Emanuël A. P. Habets

Efficient reversible data hiding in encrypted image with public key cryptosystem

This paper proposes a new reversible data hiding scheme for encrypted images by using homomorphic and probabilistic properties of Paillier cryptosystem. The proposed method can embed additional data directly i...

Authors: Shijun Xiang and Xinrong Luo

Iterative robust adaptive beamforming

The minimum power distortionless response beamformer has a good interference rejection capability, but the desired signal will be suppressed if signal steering vector or data covariance matrix is not precise. ...

Authors: Yang Li, Hong Ma and Li Cheng

Variable forgetting factor mechanisms for diffusion recursive least squares algorithm in sensor networks

In this work, we present low-complexity variable forgetting factor (VFF) techniques for diffusion recursive least squares (DRLS) algorithms. Particularly, we propose low-complexity VFF-DRLS algorithms for dist...

Authors: Ling Zhang, Yunlong Cai, Chunguang Li and Rodrigo C. de Lamare

The Ensemble Kalman filter: a signal processing perspective

The ensemble Kalman filter (EnKF) is a Monte Carlo-based implementation of the Kalman filter (KF) for extremely high-dimensional, possibly nonlinear, and non-Gaussian state estimation problems. Its ability to ...

Authors: Michael Roth, Gustaf Hendeby, Carsten Fritsche and Fredrik Gustafsson

Robust transceiver design for reciprocal M × N interference channel based on statistical linearization approximation

This paper focuses on robust transceiver design for throughput enhancement on the interference channel (IC), under imperfect channel state information (CSI). In this paper, two algorithms are proposed to impro...

Authors: Ali D. Mayvan, Hassan Aghaeinia and Mohammad Kazemi

Particle rejuvenation of Rao-Blackwellized sequential Monte Carlo smoothers for conditionally linear and Gaussian models

This paper focuses on sequential Monte Carlo approximations of smoothing distributions in conditionally linear and Gaussian state spaces. To reduce Monte Carlo variance of smoothers, it is typical in these mod...

Authors: Ngoc Minh Nguyen, Sylvain Le Corff and Éric Moulines

A mesh-free algorithm for ROF model

The total variation (TV) denoising method is a PDE-based technique that preserves the edges well but has undesirable staircase effect in some cases, namely, the translation of smooth regions (ramps) into piece...

Authors: Mushtaq Ahmad Khan, Wen Chen, Asmat Ullah and Zhuojia Fu

3D shape representation with spatial probabilistic distribution of intrinsic shape keypoints

The accelerated advancement in modeling, digitizing, and visualizing techniques for 3D shapes has led to an increasing amount of 3D models creation and usage, thanks to the 3D sensors which are readily availab...

Authors: Vijaya K. Ghorpade, Paul Checchin, Laurent Malaterre and Laurent Trassoudaine

Robust depth enhancement and optimization based on advanced multilateral filters

Stereo matching of two distanced cameras and structured-light RGB-D cameras are the two common ways to capture the depth map, which conveys the per-pixel depth information of the image. However, the results wi...

Authors: Ting-An Chang, Yang-Ting Chou and Jar-Ferr Yang

Comments on ‘Area and power efficient DCT architecture for image compression’ by Dhandapani and Ramachandran

In [Dhandapani and Ramachandran, “Area and power efficient DCT architecture for image compression”, EURASIP Journal on Advances in Signal Processing 2014, 2014:180] the authors claim to have introduced an appr...

Authors: Renato J. Cintra and Fábio M. Bayer

Binaural noise reduction via cue-preserving MMSE filter and adaptive-blocking-based noise PSD estimation

Binaural noise reduction, with applications for instance in hearing aids, has been a very significant challenge. This task relates to the optimal utilization of the available microphone signals for the estimat...

Authors: Masoumeh Azarpour and Gerald Enzner

Low-complexity DOA estimation from short data snapshots for ULA systems using the annihilating filter technique

This paper addresses the problem of DOA estimation using uniform linear array (ULA) antenna configurations. We propose a new low-cost method of multiple DOA estimation from very short data snapshots. The new e...

Authors: Faouzi Bellili, Souheib Ben Amor, Sofiène Affes and Ali Ghrayeb

Special issue: advanced techniques for radar signal processing

Authors: D. Orlando, C. Hao, A. Aubry, G. Cui, A. C. Gurbuz and S. Gazor

A splitting algorithm for a novel regularization of Perona-Malik and application to image restoration

In this paper, we focus on a numerical method of a problem called the Perona-Malik inequality which we use for image denoising. This model is obtained as the limit of the Perona-Malik model and the p-Laplacian op...

Authors: Fahd Karami, Lamia Ziad and Khadija Sadik

Canonic FFT flow graphs for real-valued even/odd symmetric inputs

Canonic real-valued fast Fourier transform (RFFT) has been proposed to reduce the arithmetic complexity by eliminating redundancies. In a canonic N-point RFFT, the number of signal values at each stage is canonic...

Authors: Yingjie Lao and Keshab K. Parhi

Multi-linear sparse reconstruction for SAR imaging based on higher-order SVD

This paper focuses on the spotlight synthetic aperture radar (SAR) imaging for point scattering targets based on tensor modeling. In a real-world scenario, scatterers usually distribute in the block sparse pat...

Authors: Yu-Fei Gao, Guan Gui, Xun-Chao Cong, Yue Yang, Yan-Bin Zou and Qun Wan

Human tracking over camera networks: a review

In recent years, automated human tracking over camera networks is getting essential for video surveillance. The tasks of tracking human over camera networks are not only inherently challenging due to changing ...

Authors: Li Hou, Wanggen Wan, Jenq-Neng Hwang, Rizwan Muhammad, Mingyang Yang and Kang Han

Intra-pulse modulation recognition using short-time ramanujan Fourier transform spectrogram

Intra-pulse modulation recognition under negative signal-to-noise ratio (SNR) environment is a research challenge. This article presents a robust algorithm for the recognition of 5 types of radar signals with ...

Authors: Xiurong Ma, Dan Liu and Yunlong Shan

Learning from label proportions for SAR image classification

Synthetic aperture radar (SAR) image classification plays a key role in SAR interpretation. Due to the cost and difficulty of truth labeling for SAR images, the newly labeled samples available for image classi...

Authors: Yongke Ding, Yuanxiang Li and Wenxian Yu

Two-way DF relaying assisted D2D communication: ergodic rate and power allocation

In this paper, we investigate the ergodic rate for a device-to-device (D2D) communication system aided by a two-way decode-and-forward (DF) relay node. We first derive closed-form expressions for the ergodic r...

Authors: Yiyang Ni, Yuxi Wang, Shi Jin, Kai-Kit Wong and Hongbo Zhu

Computer-aided detection of breast lesions in DCE-MRI using region growing based on fuzzy C-means clustering and vesselness filter

A computer-aided detection (CAD) system is introduced in this paper for detection of breast lesions in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). The proposed CAD system firstly compensate...

Authors: Shahriar B. Shokouhi, Aida Fooladivanda and Nasrin Ahmadinejad

Spectrum sensing based on cumulative power spectral density

This paper presents new spectrum sensing algorithms based on the cumulative power spectral density (CPSD). The proposed detectors examine the CPSD of the received signal to make a decision on the absence/prese...

Authors: A. Nasser, A. Mansour, K. C. Yao, H. Abdallah and H. Charara

Hybrid digital-analog coding with bandwidth expansion for correlated Gaussian sources under Rayleigh fading

Consider communicating a correlated Gaussian source over a Rayleigh fading channel with no knowledge of the channel signal-to-noise ratio (CSNR) at the transmitter. In this case, a digital system cannot be opt...

Authors: Pradeepa Yahampath

Novel maximum likelihood approach for passive detection and localisation of multiple emitters

In this paper, a novel target acquisition and localisation algorithm (TALA) is introduced that offers a capability for detecting and localising multiple targets using the intermittent “signals-of-opportunity” ...

Authors: Marcel Hernandez

Dynamic configuration management of a multi-standard and multi-mode reconfigurable multi-ASIP architecture for turbo decoding

The multiplication of connected devices goes along with a large variety of applications and traffic types needing diverse requirements. Accompanying this connectivity evolution, the last years have seen consid...

Authors: Vianney Lapotre, Guy Gogniat, Amer Baghdadi and Jean-Philippe Diguet