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IEEE International Conference on signal and Image processing (ICSIP)

作者： Yan Liu Yonggui Li Yonggang Zhu Yingtao Niu Peng Jia National University of Defense Technology Nanjing China Beijing Electro-Mechanical Engineering Institute Beijing China

ISBN: (数字)9781728168968

ISBN: (纸本)9781728168975

This paper presents a brief review on deep learning in application of communication signal processing. As an important branch of artificial intelligence technology, deep learning schemes are independent of the underlying object model and can extract meaningful features from the observed data. When applied to communication signal processing, deep learning algorithms perform the following main functions: symbol detection, anti-interference and modeling the channel information. Furthermore, several challenges confronted by application of deep learning technology in communication signal processing are proposed as well.

关键词： Deep learning Conferences signal processing algorithms signal processing Feature extraction Data models Data mining

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Optimization of array geometry for identifiable high resolution parameter estimation in sensor array signal processing

Optimization of array geometry for identifiable high resolut...

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International Conference on Information, Communications and signal processing

作者： C.W. Ang C.M. See A.C. Kot School of Electrical and Electronic Engineering Nanyang Technological University Singapore

This paper is concerned with the optimization of array geometry using genetic algorithms as the optimization tool. Recent advances in array processing have been focused on developing high resolution algorithms for estimating signal parameters. The problem of optimal design of the array geometry has been neglected and therefore addressed in this paper. An optimal array geometry will correspond to one with the lowest Cramer-Rao bound (CRB) and which gives rise to minimal ambiguities at low SNR. An approach using genetic algorithms (GA) to minimise the CRB, subjected to the ambiguity constraint is proposed and implemented. By utilizing the parallel search capability of the GA, this approach constitutes an efficient design tool for the design of an array of any size and configuration. An alternative using simulated annealing is also proposed. Both approaches are shown to produce optimum array geometries that are superior to the conventional circular array in terms of accuracy and identifiability.

关键词： Sensor arrays Geometry Parameter estimation Array signal processing Genetic algorithms signal resolution Direction of arrival estimation Estimation error Narrowband signal processing algorithms

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Adaptive IQ Mismatch Compensation in Time-Domain Using Frequency-Domain Observations

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IEEE TRANSACTIONS ON signal processing 2021年 69卷 655-668页

作者： Nayebi, Elina Dayal, Pranav Song, Kee-Bong Samsung Semicond Inc SOC R&D Lab San Diego CA 92121 USA

The imbalance between in-phase (I) and quadrature (Q) branches of quadrature down-conversion receivers creates interference between the mirror frequencies in baseband. We introduce two new adaptive algorithms for compensating frequency-dependent IQ imbalance in orthogonal frequency-division multiplexing (OFDM) systems. The proposed algorithms utilize frequency-domain observations to update filter weights of a time-domain IQ mismatch compensator (IQMC) based on a mini-batch gradient descent search approach. The update rule in the first algorithm is based on the kurtosis criterion, which is a blind adaptation method. The second algorithm is based on minimizing the Euclidean distance (ED) between the frequency-domain impaired signal and the known received reference signal, which is a pilot-aided method. A low-complexity method is introduced to obtain the gradient of cost functions that are only based on the IQMC coefficients and the frequency-domain observations. Numerical results demonstrate that the proposed algorithms reduce IQ imbalance considerably. The proposed adaptation schemes outperform conventional time-domain IQMC schemes in high signal-to-noise ratio region and also use a much smaller number of adaptation parameters than the previous frequency-domain IQMC methods.

关键词： Frequency-domain analysis Time-domain analysis OFDM signal processing algorithms signal to noise ratio Cost function Receivers FD-IQMM real-valued compensator time-domain compensation frequency-domain observations kurtosis Euclidean distance

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A New Approach for Secure Cloud-Based Electronic Health Record and its Experimental Testbed

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IEEE ACCESS 2022年 10卷 1082-1095页

作者： Jusak, Jusak Mahmoud, Seedahmed S. Laurens, Roy Alsulami, Musleh Fang, Qiang Dinamika Univ Dept Comp Engn Surabaya 60298 Indonesia James Cook Univ Sch Sci & Technol Singapore 387380 Singapore Shantou Univ Dept Biomed Engn Shantou 515063 Peoples R China Univ Cent Florida Dept Comp Sci Orlando FL 32816 USA Umm Al Qura Univ Dept Informat Syst Mecca 24382 Saudi Arabia

The tremendous development of the Internet of Things (IoT) technology in the last decades has fostered advancement in automatic medical assistive devices to support the existing Electronic Health Record (EHR) system. As an integral part of the EHR electronic model, public cloud servers store medical data. Unfortunately, public cloud servers are prone to security and privacy breach. This paper introduces a novel non-cryptographic approach to preserve electrocardiograph (ECG) data confidentiality and integrity in the EHR environment. The main objective of the proposed anonymization algorithm is to obscure the patient's cardiac information during transmission and to protect information stored in the cloud database. Although we focus on ECG data, generalization to other types of clinical data can be derived using the proposed method. Performance evaluation of the proposed scheme showed that the algorithm conceals both fiducial and non-fiducial features of the data. Therefore, confidentiality feature is preserved. This paper examined confidentiality of the anonymized data using the Percentage Residual Difference (PRD) and investigated the integrity of the reconstructed data in terms of cross-correlation. Security analysis carried out using the PRD, brute force attack, and performance comparison between the proposed algorithm and existing methods. Evaluation showed that the proposed scheme offers a secure non-cryptographic model for transmission and storing clinical data in the cloud. Moreover, in terms of processing time, the proposed algorithm is ten times faster than the existing wavelet packet method when processing long ECG data, 65,536 sample points. In a real-time experimental testbed, the implemented proposed system was successful.

关键词： Electrocardiography Cloud computing Security signal processing algorithms Wavelet packets Encryption Data privacy Eelectrocardiography electronic health record fast Fourier transform information security

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Fresh, Fair and Energy-Efficient Content Provision in a Private and Cache-Enabled UAV Network

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IEEE JOURNAL OF SELECTED TOPICS IN signal processing 2022年第1期16卷 97-112页

作者： Yang, Peng Guo, Kun Xi, Xing Quek, Tony Q. S. Cao, Xianbin Liu, Chenxi Beihang Univ Sch Elect & Informat Engn Beijing 100083 Peoples R China Beihang Univ Minist Ind & Informat Technol China Key Lab Adv Technol Near Space Informat Syst Beijing 100083 Peoples R China Singapore Univ Technol & Design Informat Syst Technol & Design Pillar Singapore 487372 Singapore East China Normal Univ Sch Commun & Elect Engn Shanghai 200062 Peoples R China Beijing Univ Posts & Telecommun State Key Lab Networking & Switching Technol Beijing 100876 Peoples R China

In this paper, we investigate a private and cache-enabled unmanned aerial vehicle (UAV) network for content provision. Aiming at delivering fresh, fair, and energy-efficient content files to terrestrial users, we formulate a joint UAV caching, UAV trajectory, and UAV transmit power optimization problem. This problem is confirmed to be a sequential decision problem with mixed-integer non-convex constraints, which is intractable directly. To this end, we propose a novel algorithm based on the techniques of subproblem decomposition and convex approximation. Particularly, we first propose to decompose the sequential decision problem into multiple repeated optimization subproblems via a Lyapunov technique. Next, an iterative optimization scheme incorporating a successive convex approximation (SCA) technique is explored to tackle the challenging mixed-integer non-convex subproblems. Besides, we analyze the convergence of the proposed algorithm and derive the theoretical value of the expected peak age of information (PAoI) to estimate the content freshness. Simulation results demonstrate that the proposed algorithm can achieve the expected PAoI close to the theoretical value and is more 22.11% and 70.51% energy-efficient and fairer than benchmark algorithms.

关键词： Unmanned aerial vehicles Trajectory signal processing algorithms Wireless networks Servers Authentication 5G mobile communication Fresh content private UAV network UAV caching trajectory design power control

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INDIRECT TESTING OF DIGITAL-CORRECTION CIRCUITS IN ANALOG-TO-DIGITAL CONVERTERS WITH REDUNDANCY

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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-ANALOG AND DIGITAL signal processing 1995年第7期42卷 437-445页

作者： LEWIS, SH RAMACHANDRAN, R SNELGROVE, WM AT&T BELL LABS ALLENTOWNPA 18103 CARLETON UNIV DEPT ELECT ENGNOTTAWAON K1S 5B6CANADA

This paper presents a study of indirect fault testing of digital-correction circuits that operate as a part of analog-to-digital converters with redundancy. Design and test techniques that improve the fault coverage a... 详细信息

关键词： Circuit testing Analog-digital conversion Redundancy Logic testing Circuit faults CMOS technology BiCMOS integrated circuits Costs signal processing algorithms Power dissipation

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THE BOND-ENERGY ALGORITHM REVISITED

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IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS 1990年第1期20卷 268-274页

作者： ARABIE, P HUBERT, LJ Department of Psychology University of Illinois Champaign IL USA

The bond energy algorithm of W.T. McCormick, P.J. Schweitzer, and T.W. White (Oper. Res., vol.20, p.993-1009, 1972) is examined in the context of related strategies of data analysis that seek to solve problems in production research, imaging, and related engineering problems. A taxonomy of types of input data and forms of matrix structure, adopted from other areas of data analysis, serves to clarify some distinctions that have been at most implicit in published alternatives to the bond energy approach. The objective function initially proposed for this approach is considered, and some of its properties and resulting limitations are deduced. Some extensions of the original technique are offered, and one alternative is criticized.< >

关键词： Bonding Biological system modeling signal processing algorithms signal processing Data analysis Production Correlators Transducers Retina Brightness

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A ROBUST ALGORITHM FOR RANDOM PARAMETER TRACKING

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IEEE TRANSACTIONS ON AUTOMATIC CONTROL 1994年第6期39卷 1211-1221页

作者： JUDITSKY, A PRIOURET, P UNIV PARIS 06 PROBABILITIES LAB F-75230 PARIS 05 FRANCE

An algorithm for tracking time-varying parameters is studied. It is shown to be exponentially stable independently of the choice of algorithm parameters. We derive some useful nonasymptotic estimates for the tracking ... 详细信息

关键词： Robustness signal processing algorithms Resonance light scattering Covariance matrix Random variables Convergence Stochastic resonance signal processing Adaptive equalizers Phase locked loops

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Decision Learning and Adaptation Over Multi-Task Networks

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IEEE TRANSACTIONS ON signal processing 2021年 69卷 2873-2887页

作者： Marano, Stefano Sayed, Ali H. Univ Salerno DIEM I-84084 Fisciano Italy Ecole Polytech Fed Lausanne Sch Engn CH-1015 Lausanne Switzerland

This paper studies the operation of multi-agent networks engaged in multi-task decision problems under the paradigm of simultaneous learning and adaptation. Two scenarios are considered:one in which a decision must be taken among multiple states of nature that are known but can vary over time and space, and another in which there exists a known "normal" state of nature and the task is to detect unpredictable and unknown deviations from it. In both cases the network learns from the past and adapts to changes in real time in a multi-task scenario with different clusters of agents addressing different decision problems. The system design takes care of challenging situations with clusters of complicated structure, and the performance assessment is conducted by computer simulations. A theoretical analysis is developed to obtain a statistical characterization of the agents' status at steady-state, under the simplifying assumption that clustering is made without errors. This provides approximate bounds for the steady-state decision performance of the agents. Insights are provided for deriving accurate performance prediction by exploiting the derived theoretical results.

关键词： signal processing algorithms Clustering algorithms Task analysis Steady-state Random variables Indexes Error probability Learning and adaptation distributed detection multi-task networks diffusion schemes ATC rule

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The Curvelet Transform

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IEEE signal processing MAGAZINE 2010年第2期27卷 118-133页

作者： Ma, Jianwei Plonka, Gerlind Tsinghua Univ Inst Seism Explorat Beijing Peoples R China Univ Duisburg Essen Essen Germany INRIA Grenoble Grenoble France Ecole Mines Paris Paris France

Multiresolution methods are deeply related to image processing, biological and computer vision, and scientific computing. The curvelet transform is a multiscale directional transform that allows an almost optimal nonadaptive sparse representation of objects with edges. It has generated increasing interest in the community of applied mathematics and signal processing over the years. In this article, we present a review on the curvelet transform, including its history beginning from wavelets, its logical relationship to other multiresolution multidirectional methods like contourlets and shearlets, its basic theory and discrete algorithm. Further, we consider recent applications in image/video processing, seismic exploration, fluid mechanics, simulation of partial different equations, and compressed sensing.

关键词： signal resolution signal processing algorithms Discrete wavelet transforms Image resolution Image processing Computer vision Scientific computing signal generators Mathematics Biomedical signal processing

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