Articles

Class-specific discriminant time-frequency analysis using novel jointly learnt non-negative matrix factorization

Time-frequency (TF) representation has found wide use in many challenging signal processing tasks including classification, interference rejection, and retrieval. Advances in TF analysis methods have led to th...

Authors: Behnaz Ghoraani

Target vibration estimation in SAR based on phase-analysis method

An efficient vibration estimation method for synthetic aperture radar (SAR) systems based on phase-analysis method is presented. Small vibrations, which consist of multiple frequency components and are usually...

Authors: Weijie Xia and Linlin Huang

The RIP and block-RIP analysis of Nyquist folding receiver for recovering signals

Modern radar and communication systems require the detection and parameter estimation of signal under a broadband radio frequency (RF) environment. The Nyquist folding receiver (NYFR) is an efficient analog-to...

Authors: Kaili Jiang, Sujuan Chen and Bin Tang

Ionospheric decontamination based on sparse reconstruction for skywave radar

Ionospheric phase decontamination is the key factor to improve the target detection capability of skywave radar. In this paper, a new ionospheric phase decontamination algorithm is proposed based on sparse rec...

Authors: Jinfeng Hu, Hui Ai, Changpiao Xue, Xuan He, Wange Li, Huiyong Li, Wei Xia and Julan Xie

Probabilistic distance-based quantizer design for distributed estimation

We consider an iterative design of independently operating local quantizers at nodes that should cooperate without interaction to achieve application objectives for distributed estimation systems. We suggest a...

Authors: Yoon Hak Kim

A parameter estimation algorithm for LFM/BPSK hybrid modulated signal intercepted by Nyquist folding receiver

Nyquist folding receiver (NYFR) is a novel ultra-wideband receiver architecture which can realize wideband receiving with a small amount of equipment. Linear frequency modulated/binary phase shift keying (LFM/...

Authors: Zhaoyang Qiu, Pei Wang, Jun Zhu and Bin Tang

Robust time-of-arrival source localization employing error covariance of sample mean and sample median in line-of-sight/non-line-of-sight mixture environments

We propose a line-of-sight (LOS)/non-line-of-sight (NLOS) mixture source localization algorithm that utilizes the weighted least squares (WLS) method in LOS/NLOS mixture environments, where the weight matrix i...

Authors: Chee-Hyun Park and Joon-Hyuk Chang

Large-scale monocular FastSLAM2.0 acceleration on an embedded heterogeneous architecture

Simultaneous localization and mapping (SLAM) is widely used in many robotic applications and autonomous navigation. This paper presents a study of FastSLAM2.0 computational complexity based on a monocular visi...

Authors: Mohamed Abouzahir, Abdelhafid Elouardi, Samir Bouaziz, Rachid Latif and Abdelouahed Tajer

Generalized Hampel Filters

The standard median filter based on a symmetric moving window has only one tuning parameter: the window width. Despite this limitation, this filter has proven extremely useful and has motivated a number of ext...

Authors: Ronald K. Pearson, Yrjö Neuvo, Jaakko Astola and Moncef Gabbouj

Joint training of DNNs by incorporating an explicit dereverberation structure for distant speech recognition

We explore joint training strategies of DNNs for simultaneous dereverberation and acoustic modeling to improve the performance of distant speech recognition. There are two key contributions. First, a new DNN s...

Authors: Tian Gao, Jun Du, Yong Xu, Cong Liu, Li-Rong Dai and Chin-Hui Lee

Erratum to: A survey of machine learning for big data processing

Authors: Junfei Qiu, Qihui Wu, Guoru Ding, Yuhua Xu and Shuo Feng

Resource allocation in shared spectrum access communications for operators with diverse service requirements

In this paper, we study inter-operator spectrum sharing and intra-operator resource allocation in shared spectrum access communication systems and propose efficient dynamic solutions to address both inter-oper...

Authors: Mirza Golam Kibria, Gabriel Porto Villardi, Kentaro Ishizu, Fumihide Kojima and Hiroyuki Yano

Group-based single image super-resolution with online dictionary learning

Recently, sparse representation has been successfully used in single image super-resolution reconstruction. Unlike the traditional single image super-resolution methods such as image interpolation, the super-r...

Authors: Xuan Lu, Dingwen Wang, Wenxuan Shi and Dexiang Deng

A recursive kinematic random forest and alpha beta filter classifier for 2D radar tracks

In this work, we show that by using a recursive random forest together with an alpha beta filter classifier, it is possible to classify radar tracks from the tracks’ kinematic data. The kinematic data is from ...

Authors: Lars W. Jochumsen, Jan Østergaard, Søren H. Jensen, Carmine Clemente and Morten Ø. Pedersen

Sparsity-aware multiple relay selection in large multi-hop decode-and-forward relay networks

In this paper, we propose and investigate two novel techniques to perform multiple relay selection in large multi-hop decode-and-forward relay networks. The two proposed techniques exploit sparse signal recove...

Authors: A. Gouissem, R. Hamila, N. Al-Dhahir and S. Foufou

Resolution enhancement for ISAR imaging via improved statistical compressive sensing

Developing compressed sensing (CS) theory reveals that optimal reconstruction of an unknown signal can be achieved from very limited observations by utilizing signal sparsity. For inverse synthetic aperture ra...

Authors: Lei Zhang, Hongxian Wang and Zhi-jun Qiao

A gradient-adaptive lattice-based complex adaptive notch filter

This paper presents a new complex adaptive notch filter to estimate and track the frequency of a complex sinusoidal signal. The gradient-adaptive lattice structure instead of the traditional gradient one is ad...

Authors: Rui Zhu, Feiran Yang and Jun Yang

Phase reference for the generalized multichannel Wiener filter

The multichannel Wiener filter (MWF) is a well-established noise reduction technique for speech processing. Most commonly, the speech component in a selected reference microphone is estimated. The choice of th...

Authors: Simon Grimm, Toby Christian Lawin-Ore, Simon Doclo and Jürgen Freudenberger

Dynamic rainfall monitoring using microwave links

In this work, we propose a sparsity-exploiting dynamic rainfall monitoring methodology using rain-induced attenuation measurements from microwave links. To estimate rainfall field intensity dynamically from a ...

Authors: Venkat Roy, Shahzad Gishkori and Geert Leus

Discrete-time hands-off control by sparse optimization

Maximum hands-off control is a control mechanism that maximizes the length of the time duration on which the control is exactly zero. Such a control is important for energy-aware control applications, since it...

Authors: Masaaki Nagahara, Jan Østergaard and Daniel E. Quevedo

Fault detection reduced-order filter design for discrete-time Markov jump system with deficient transition information

The paper addresses the fault detection (FD) problem for a class of discrete-time Markov jump linear systems (MJLSs) with deficient transition rates, which simultaneously considers the totally known, partly un...

Authors: Lihong Rong, Xiuyan Peng and Biao Zhang

Optimal watermark embedding combining spread spectrum and quantization

This paper presents an optimal watermark embedding method combining spread spectrum and quantization. In the method, the host signal vector is quantized to embed a multiple-bit watermark, and meanwhile, the qu...

Authors: Xin-Shan Zhu, Ya Sun, Qing-Hao Meng, Biao Sun, Ping Wang and Ting Yang

Erratum to: Color interpolation algorithm for an RWB color filter array including double-exposed white channel

Authors: Ki Sun Song, Chul Hee Park, Jonghyun Kim and Moon Gi Kang

Performance analysis of transmit antenna selection for cognitive radio systems with imperfect channel estimation

In this article, we consider a spectrum sharing cognitive radio network with a transmit antenna selection scheme, subject to the peak interference constraint of primary user (PU) and the maximum transmit power...

Authors: Peng Lan, Lizhen Chen, Guowei Zhang and Fenggang Sun

One-bit compressive sampling via ℓ ₀ minimization

The problem of 1-bit compressive sampling is addressed in this paper. We introduce an optimization model for reconstruction of sparse signals from 1-bit measurements. The model targets a solution that has the ...

Authors: Lixin Shen and Bruce W. Suter

An image auto-focusing algorithm for industrial image measurement

Auto-focusing task, which automatically obtains the best image focus, plays an important role to improve the image definition for the industrial image measurement application. Image-based auto-focusing is one ...

Authors: Shuxin Liu, Manhua Liu and Zhongyuan Yang

A generalized gamma correction algorithm based on the SLIP model

Traditional contrast enhancement techniques were developed to enhance the dynamic range of images with narrow histograms. However, it is not unusual that an image with a broad histogram still suffers from low ...

Authors: Guang Deng

Robust feature representation for classification of bird song syllables

A novel feature set for low-dimensional signal representation, designed for classification or clustering of non-stationary signals with complex variation in time and frequency, is presented. The feature repres...

Authors: Maria Sandsten, Mareile Große Ruse and Martin Jönsson

A survey of machine learning for big data processing

There is no doubt that big data are now rapidly expanding in all science and engineering domains. While the potential of these massive data is undoubtedly significant, fully making sense of them requires new w...

Authors: Junfei Qiu, Qihui Wu, Guoru Ding, Yuhua Xu and Shuo Feng

Singular spectrum-based matrix completion for time series recovery and prediction

Big data, characterized by huge volumes of continuously varying streams of information, present formidable challenges in terms of acquisition, processing, and transmission, especially when one considers novel ...

Authors: Grigorios Tsagkatakis, Baltasar Beferull-Lozano and Panagiotis Tsakalides

Adaptive tracking of people and vehicles using mobile platforms

Tracking algorithms have important applications in detection of humans and vehicles for border security and other areas. For large-scale deployment of such algorithms, it is critical to provide methods for the...

Authors: Haifa Ben Salem, Thyagaraju Damarla, Kishan Sudusinghe, Walter Stechele and Shuvra S. Bhattacharyya

A limited feedback scheme for massive MIMO systems based on principal component analysis

Massive multiple-input multiple-output (MIMO) is becoming a key technology for future 5G cellular networks. Channel feedback for massive MIMO is challenging due to the substantially increased dimension of the ...

Authors: Tiankui Zhang, Anmeng Ge, Norman C. Beaulieu, Zhirui Hu and Jonathan Loo

Advances in adaptive filtering theory and applications to acoustic and speech signal processing

Authors: Markus Rupp, Walter Kellermann, Abdelhak Zoubir and Gerhard Schmidt

A novel distributed fusion algorithm for multi-sensor nonlinear tracking

The covariance intersection (CI), especially with feedback structure, can be easily combined with nonlinear filters to solve the distributed fusion problem of multi-sensor nonlinear tracking. However, this pap...

Authors: Jingxian Liu, Zulin Wang and Mai Xu

Adaptive parameter particle CBMeMBer tracker for multiple maneuvering target tracking

Cardinality-balanced multi-target multi-Bernoulli (CBMeMBer) filter has been demonstrated as a promising algorithm for multi-target tracking, and the multi-model (MM) method has been incorporated into the CBMe...

Authors: Jinlong Yang, Le Yang, Zhiyong Xiao and Jianjun Liu

A robust generalized sidelobe canceller via steering vector estimation

In the presence of the direction of arrival (DOA) mismatch, the performance of generalized sidelobe canceller (GSC) may suffer severe degradation due to the gain loss of the desired signal in the main array an...

Authors: Xu Wang, Julan Xie, Zishu He and Huiyong Li

Robust detection in ultra-wideband impulse radar using DPSS-MMSE estimator

In this paper, it has been shown that non-stationary received signals at ultra-wideband impulse radars can be addressed by Fourier series model with time-varying coefficients. Next, simply by computing statist...

Authors: S. M. Ali Tayaranian Hosseini, Hamidreza Amindavar and James A. Ritcey

Color interpolation algorithm for an RWB color filter array including double-exposed white channel

In this paper, we propose a color interpolation algorithm for a red-white-blue (RWB) color filter array (CFA) that uses a double exposed white channel instead of a single exposed green (G) channel. The double-...

Authors: Ki Sun Song, Chul Hee Park, Jonghyun Kim and Moon Gi Kang

An incremental learning algorithm for the hybrid RBF-BP network classifier

This paper presents an incremental learning algorithm for the hybrid RBF-BP (ILRBF-BP) network classifier. A potential function is introduced to the training sample space in space mapping stage, and an increme...

Authors: Hui Wen, Weixin Xie, Jihong Pei and Lixin Guan

Quantization in zero leakage helper data schemes

A helper data scheme (HDS) is a cryptographic primitive that extracts a high-entropy noise-free string from noisy data. Helper data schemes are used for preserving privacy in biometric databases and for physic...

Authors: Joep de Groot, Boris Škorić, Niels de Vreede and Jean-Paul Linnartz

Efficiently sphere-decodable physical layer transmission schemes for wireless storage networks

Three transmission schemes over a new type of multiple-access channel (MAC) model with inter-source communication links are proposed and investigated in this paper. This new channel model is well motivated by,...

Authors: Hsiao-feng (Francis) Lu, Amaro Barreal, David Karpuk and Camilla Hollanti

A phase trajectories optimization method for CPM signal based on Pan-function model

The continuous phase modulation (CPM) signal has the characteristics of continuous phase, excellent spectral properties, less out-band radiation, and constant envelope. Thus, CPM technology is widely used in c...

Authors: Wei Xue, Wenjing Shang, Sergey B. Makarov and Yidong Xu

Exploiting sensor mobility and covariance sparsity for distributed tracking of multiple sparse targets

The problem of distributed tracking of multiple targets is tackled by exploiting sensor mobility and the presence of sparsity in the sensor data covariance matrix. Sparse matrix decomposition relying on norm-o...

Authors: Guohua Ren, Vasileios Maroulas and Ioannis D. Schizas

Advanced flooding-based routing protocols for underwater sensor networks

Flooding-based protocols are a reliable solution to deliver packets in underwater sensor networks. However, these protocols potentially involve all the nodes in the forwarding process. Thus, the performance an...

Authors: Elvin Isufi, Henry Dol and Geert Leus

Distributed piecewise filtering design for large-scale networked nonlinear systems

This paper investigates the problem of distributed piecewise filtering for discrete-time large-scale nonlinear systems. The considered large-scale system is composed of a numb...

Authors: Zhenhua Shao and Tianxiang Chen

Multi-camera object tracking using surprisal observations in visual sensor networks

In this work, we propose a multi-camera object tracking method with surprisal observations based on the cubature information filter in visual sensor networks. In multi-camera object tracking approaches, multip...

Authors: Venkata Pathuri Bhuvana, Melanie Schranz, Carlo S. Regazzoni, Bernhard Rinner, Andrea M. Tonello and Mario Huemer

Motion detection using binocular image flow in dynamic scenes

Motion detection is a hard task for intelligent vehicles since target motion is mixed with ego-motion caused by moving cameras. This paper proposes a stereo-motion fusion method for detection of moving objects...

Authors: Qi Min and Yingping Huang

Online rate adjustment for adaptive random access compressed sensing of time-varying fields

We develop an adaptive sensing framework for tracking time-varying fields using a wireless sensor network. The sensing rate is iteratively adjusted in an online fashion using a scheme that relies on an integra...

Authors: Naveen Kumar, Fatemeh Fazel, Milica Stojanovic and Shrikanth S. Naryanan

Partial interference cancellation with maximum likelihood sequence detection in FBMC spatial multiplexing system

Intrinsic interference in filter bank multicarrier (FBMC) modulation prevents the maximum likelihood (ML) detection in spatial multiplexing (SM) system. This intrinsic interference is caused by the transmultip...

Authors: Rostom Zakaria and Didier Le Ruyet

Performance of regression-based precoding for multi-user massive MIMO-OFDM systems

We study the performance of a single-cell massive multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) system that uses linear precoding to serve multiple users on the same tim...

Authors: Ali Yazdan Panah, Karthik Yogeeswaran and Yael Maguire