Articles

Target detection in complex scene of SAR image based on existence probability

This study proposes a target detection approach based on the target existence probability in complex scenes of a synthetic aperture radar image. Superpixels are the basic unit throughout the approach and are l...

Authors: Shuo Liu, Zongjie Cao, Honggang Wu, Yiming Pi and Haiyi Yang

Significance-aware filtering for nonlinear acoustic echo cancellation

This article summarizes and extends the recently proposed concept of Significance-Aware (SA) filtering for nonlinear acoustic echo cancellation. The core idea of SA filtering is to decompose the estimation of ...

Authors: Christian Hofmann, Christian Huemmer, Michael Guenther and Walter Kellermann

Improved analysis of SP and CoSaMP under total perturbations

Practically, in the underdetermined model y=A x, where x is a K sparse vector (i.e., it has no more than K nonzero entries), both y and A could be totally perturbed. A more relaxed conditi...

Authors: Haifeng Li

Low probability of intercept-based adaptive radar waveform optimization in signal-dependent clutter for joint radar and cellular communication systems

In this paper, we investigate the problem of low probability of intercept (LPI)-based adaptive radar waveform optimization in signal-dependent clutter for joint radar and cellular communication systems, where ...

Authors: Chenguang Shi, Sana Salous, Fei Wang and Jianjiang Zhou

A residual range cell migration correction algorithm for bistatic forward-looking SAR

For bistatic forward-looking synthetic aperture radar (BFSAR), images are often blurred by uncompensated radar motion errors. To get refocused images, autofocus is a useful postprocessing technique. However, a...

Authors: Wei Pu, Yulin Huang, Junjie Wu, Jianyu Yang and Wenchao Li

Fast GNSS satellite signal acquisition method based on multiple resamplings

A fast Global Navigation Satellite System (GNSS) satellite signal acquisition method based on resampling is presented. In contrast to traditional approaches, which perform a single-round search with a high dat...

Authors: Yong Wang and Gang Mao

Robust compressive sensing of sparse signals: a review

Compressive sensing generally relies on the ℓ ₂ norm for data fidelity, whereas in many applications, robust estimators are needed. Among the scenarios in which robust performance is requi...

Authors: Rafael E. Carrillo, Ana B. Ramirez, Gonzalo R. Arce, Kenneth E. Barner and Brian M. Sadler

Multistatic adaptive CFAR detection in non-Gaussian clutter

This work addresses the problem of target detection for multistatic radars. We propose an algorithm that is able to keep constant the false alarm rate, when the disturbance samples associated with each receive...

Authors: Riccardo Palamà, Maria Greco and Fulvio Gini

Self-organizing kernel adaptive filtering

This paper presents a model-selection strategy based on minimum description length (MDL) that keeps the kernel least-mean-square (KLMS) model tuned to the complexity of the input data. The proposed KLMS-MDL fi...

Authors: Songlin Zhao, Badong Chen, Zheng Cao, Pingping Zhu and Jose C. Principe

Design of resolution/power controllable Asynchronous Sigma-Delta Modulator

This paper presents the design of a Programmable Asynchronous Modulator (PAM) with field control of resolution and power. A novel variable hysteresis Schmitt Trigger (ST) is used for external programmability. ...

Authors: Anita Arvind Deshmukh and Raghvendra B. Deshmukh

Subarray-based FDA radar to counteract deceptive ECM signals

In recent years, the frequency diverse array (FDA) radar concept has attracted extensive attention, as it may benefit from a small frequency increment, compared to the carrier frequency across the array elemen...

Authors: Ahmed Abdalla, Wen-Qin Wang, Zhao Yuan, Suhad Mohamed and Tang Bin

MIMO-OFDM signal optimization for SAR imaging radar

This paper investigates the optimization of the coded orthogonal frequency division multiplexing (OFDM) transmitted signal in a synthetic aperture radar (SAR) context. We propose to design OFDM signals to achi...

Authors: J.-Y. Baudais, S. Méric, V. Riché and É. Pottier

Fuzzy probabilistic data association filter and its application to single maneuvering target

The fuzzy recursive least squares-probabilistic data association (FRLS-PDA) filter is presented for tracking single maneuvering target in cluttered situations with unknown process noises. In the proposed filte...

Authors: Xiaobin Li, En Fan, Shigen Shen, Keli Hu and Pengfei Li

A priori SNR estimation and noise estimation for speech enhancement

A priori signal-to-noise ratio (SNR) estimation and noise estimation are important for speech enhancement. In this paper, a novel modified decision-directed (DD) a priori SNR estimation approach based on singl...

Authors: Rui Yao, ZeQing Zeng and Ping Zhu

Practical security and privacy attacks against biometric hashing using sparse recovery

Biometric hashing is a cancelable biometric verification method that has received research interest recently. This method can be considered as a two-factor authentication method which combines a personal passw...

Authors: Berkay Topcu, Cagatay Karabat, Matin Azadmanesh and Hakan Erdogan

Array signal recovery algorithm for a single-RF-channel DBF array

An array signal recovery algorithm based on sparse signal reconstruction theory is proposed for a single-RF-channel digital beamforming (DBF) array. A single-RF-channel antenna array is a low-cost antenna arra...

Authors: Duo Zhang, Wen Wu and Da Gang Fang

Autonomous radar pulse modulation classification using modulation components analysis

An autonomous method for recognizing radar pulse modulations based on modulation components analysis is introduced in this paper. Unlike the conventional automatic modulation classification methods which extra...

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

Reduced-dimension space-time adaptive processing based on angle-Doppler correlation coefficient

Traditional space-time adaptive processing (STAP) is a strategy for clutter suppression in airborne radar, which requires a large number of computational complexity and secondary data. In order to address the ...

Authors: Ruiyang Li, Jun Li, Wei Zhang and Zishu He

Change detection of bitemporal multispectral images based on FCM and D-S theory

In this paper, we propose a change detection method of bitemporal multispectral images based on the D-S theory and fuzzy c-means (FCM) algorithm. Firstly, the uncertainty and certainty regions are determined b...

Authors: Aiye Shi, Guirong Gao and Shaohong Shen

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

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

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

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

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

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

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

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