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18th IEEE Int Symp on Parallel and Distributed Proc with Applicat (ISPA) / 10th IEEE Int Conf on Big Data and Cloud Comp (BDCloud) / IEEE Int Symp on Social Comp and Networking (SocialCom) / IEEE Int Conf on Sustainable Comp and Commun (SustainCom)

作者： Shang, Jiaxing Jin, Ziwei Feng, Yong Wei, Ran Qiang, Baohua Xie, Wu Chongqing Univ Coll Comp Sci Chongqing 400044 Peoples R China Chongqing Med Data Informat Technol Co Ltd Chongqing 401336 Peoples R China Guilin Univ Elect Technol Guangxi Key Lab Trusted Software Guilin 541004 Peoples R China

ISBN: (纸本)9781665414852

With the fast development of mobile technologies, mobile marketing has become an import task for telecom operators. As a result, customer classification has attracted the attention of many scholars and companies. Decision tree is a computational intelligence technique having been widely used in the field of machine learning and data mining. To solve the customer classification problem, we propose an iterative decision tree-based (ITDT) approach. Through the communication data provided by one of the largest telecom operators in China, we aim to identify student customers from non-student ones. We first build the customers' social network through their phone call and SMS records. Then we make statistical analysis on the network, which helps us to determine the network-based features used for customer classification. Last, we propose an iterative decision tree-based algorithm to identify the student customers. We conduct experiments under different algorithm parameters and the results show the effectiveness of our algorithm.

关键词： Decision Tree iterative algorithm Telecom Customer Classification Mobile Marketing Social Networks

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A Fast Analytic Multiple-Sources Angle-of-Arrival Estimation algorithm for Automotive MIMO Radars

A Fast Analytic Multiple-Sources Angle-of-Arrival Estimation...

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IEEE International Symposium on Antennas and Propagation / North American Radio Science Meeting

作者： Cai, Xiuzhang Sarabandi, Kamal Univ Michigan Elect Engn & Comp Sci Dept Ann Arbor MI 48109 USA

ISBN: (纸本)9781728166704

Traditionally, the angle of arrival (AOA) estimation problem for multiple sources is considered as a nonlinear problem with no analytic solutions. In this paper, an analytic iterative multiple-source AOA algorithm (AIMA) is presented for fast and accurate estimation of the AOA. The approach is most useful for automotive MIMO radars where there can be a large number of scatterers in the scene. The AOA estimation problem is divided into two main tasks: (1) estimate one AOA with the prior knowledge of all other AOA;(2) estimate all AOA by iteratively solving Task 1. It can be shown that for a uniform linear array (ULA) Task 1 has analytic solutions and Task 2 converges very fast, which makes this method effective, efficient and practical for real-time processing. Unlike many other AOA estimation methods, this approach doesn't need the information about the number of sources and can be applied for coherent signals and single snapshot as well.

关键词： angle of arrival direction of arrival iterative algorithm

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Intelligent Reflecting Surface Assisted Non-Orthogonal Multiple Access

Intelligent Reflecting Surface Assisted Non-Orthogonal Multi...

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IEEE Wireless Communications and Networking Conference (IEEE WCNC)

作者： Yang, Gang Xu, Xinyue Liang, Ying-Chang Univ Elect Sci & Technol China Chengdu Peoples R China

ISBN: (纸本)9781728131061

Intelligent reflecting surface (IRS) is a new and disruptive technology to achieve spectrum-, energy, and cost-efficient wireless networks. In this paper, we consider an IRS-assisted non-orthogonal-multiple-access (NOMA) system in which a base station (BS) transmits superposed down-link signals to multiple users. A combined-channel-strength (CCS) based user ordering scheme is first proposed. In order to optimize the rate performance and ensure user fairness, we further maximize the minimum decoding signal-to-interference-plus-noise-ratio (i.e., equivalently the rate) of all users, by jointly optimizing the power allocation at the BS and the phase shifts at the IRS. However, the formulated problem is non-convex and difficult to be solved optimally. By leveraging the block coordinate descent and semidefinite relaxation techniques, an efficient algorithm is then proposed to obtain a suboptimal solution. Simulation results show that the IRS-assisted downlink NOMA system can enhance the rate performance significantly, compared to traditional NOMA without IRS and traditional orthogonal multiple access with/without IRS, and the rate degradation due to the IRS's finite phase resolution is slight.

关键词： Non-orthogonal multiple access intelligent reflecting surface rate optimization iterative algorithm

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Robust twin extreme learning machines with correntropy-based metric

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KNOWLEDGE-BASED SYSTEMS 2021年 214卷

作者： Yuan, Chao Yang, Liming China Agr Univ Coll Informat & Elect Engn Beijing 100083 Haidian Peoples R China China Agr Univ Coll Sci Beijing 100083 Haidian Peoples R China

In this paper, we propose a novel distance metric based on correntropy and kernel learning. Some properties of the proposed metric are demonstrated such as nonnegativity, non-convexity, boundedness and approximation behaviors. The proposed metric includes and extends classical metrics such as L-0-norm and L-1-norm metrics. Moreover, we develop a fraction loss function satisfying the Bayes rule, and demonstrate its robustness from the perspective of M-estimation. With the proposed robust metric and loss function, a new robust twin extreme learning machines framework (called LCFTELM) is presented to reduce the negative effect of noises and outliers. The proposed LCFTELM retains the advantages of twin extreme machines (TELM) and promotes the robustness. However, the non-convexity of the proposed model makes it difficult to optimize. Furthermore, an effective iterative algorithm for LCFTELM is designed, we present theoretical analysis on the convergence of the proposed algorithm. Following that, we evaluate the proposed algorithm on real-world datasets and artificial dataset under different noise settings. Experimental results show that the proposed method achieves better generalization than the state-of-the-art methods in most cases, which demonstrates the feasibility and robustness of the proposed LCFTELM. (C) 2020 Elsevier B.V. All rights reserved.

关键词： Robustness Metric learning Non-convex loss Classification iterative algorithm

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A new general iterative algorithm with Meir-Keeler contractions for variational inequality problems in q-uniformly smooth Banach spaces

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FIXED POINT THEORY AND APPLICATIONS 2013年第1期2013卷 1-21页

作者： Guan, Jinlin Hu, Changsong Wang, Xin Hubei Normal Univ Sch Math & Stat Huangshi 435002 Peoples R China

In this paper, we generalize the iterative scheme and extend the space studied in (Fixed Point Theory and Applications 2012: 46, 2012). Further, we prove some strong convergence theorems of the new iterative scheme for variational inequality problems in q-uniformly smooth Banach spaces under very mild conditions. Our results improve and extend corresponding ones announced by many others.

关键词： strong convergence iterative algorithm Meir-Keeler contractions fixed point k-strict pseudo-contractions Banach spaces

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High-Performance Blind Spectrum Sensing: An iterative Unsupervised Learning Approach 5

High-Performance Blind Spectrum Sensing: An Iterative Unsupe...

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5th International Conference on Information Science, Computer Technology and Transportation (ISCTT)

作者： Gao, Shishun Zhao, Haitao Zhang, Jiao Wang, Haijun Wei, Jibo Natl Univ Def Technol Coll Elect Sci Changsha 410073 Peoples R China

ISBN: (纸本)9781728185750

In the research of blind spectrum sensing, unsupervised learning has been regarded as a promising technology to detect spectrum status without any prior knowledge or labeled signals. However, the detection performance of the existing unsupervised sensing methods is usually far below that of supervised sensing methods. In order to overcome this problem, we propose an iterative unsupervised learning based cooperative spectrum sensing (CSS) algorithm, where the concept of iteration is introduced to improve detection performance. Specifically, in each iteration, i) The CSS technology is first used to make global labels by combining the local labels of the individual detectors constructed in the last iteration;ii) And then, individual detectors are constructed by utilizing supervised learning to fit the mapping from local sample set to the current global labels. During above iterative process, the global labels contribute to improving individual detectors, while these improved individual detectors can cooperatively make more accurate global labels, which will be utilized in next iteration. Finally, with the increase of the number of iterations, these individual detectors can be used to online cooperatively detect spectrum status when there are only slight changes in global labels. Simulation results show that the proposed algorithm can achieve comparable individual and cooperative detection performance with the existing supervised sensing methods over a wide signal-to-noise ratio (SNR) region.

关键词： Cooperative spectrum sensing unsupervised learning iterative algorithm cognitive radio

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An iterative Wiener Filter for the Identification of Multilinear Forms 43

An Iterative Wiener Filter for the Identification of Multili...

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43rd International Conference on Telecommunications and Signal Processing (TSP)

作者： Dogariu, Laura-Maria Ciochina, Silviu Paleologu, Constantin Benesty, Jacob Oprea, Cristina Univ Politehn Bucuresti Dept Telecommun Bucharest Romania Univ Quebec INRS EMT Montreal PQ Canada

ISBN: (数字)9781728163765

ISBN: (纸本)9781728163765

There are many important fields nowadays which involve multilinear system identification. In this context, the number of parameters of the global impulse response to be identified can represent an important challenge, leading to the need for tensorial decomposition and modelling of such systems. We recently focused on the identification of particular types of multidimensional problems, such as bilinear and trilinear forms. In this paper, our purpose is to extend the solutions obtained for such particular cases to the general case of higher-order multilinear systems. To this aim, we propose an iterative Wiener filter tailored for the identification of multilinear forms of any order. Simulations support the theoretical findings and prove the good performance of the proposed solution.

关键词： Multilinear systems iterative algorithm Wiener filter tensor modelling system identification

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Implementation and Numerical Evaluation for Multiplicative Algebraic Reconstruction Techniques 6

Implementation and Numerical Evaluation for Multiplicative A...

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Conference on Optical System Alignment, Tolerancing, and Verification XIII

作者： Aoyagi, Tomohiro Ohtsubo, Kouichi Aoyagi, Nobuo Toyo Univ Fac Informat Sci & Arts 2100 Kujirai Saitama 3508585 Japan

ISBN: (纸本)9781510638495;9781510638501

Multiplicative algebraic reconstruction techniques (MART) is one of the method of projections onto convex sets (POCS) for solving a system of simultaneous equation. The image reconstruction problem can be discretized and depends on seeking the inverse of some matrix. We apply the MART to image reconstruction problems and evaluate the image quality in computer simulations. It is showed that the error decreases with increasing the number of projections and the number of iterations. It is also showed that the error decreases with increasing the value of initial data.

关键词： image reconstruction MART POCS iterative algorithm tomography

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Weighted multiwindow discrete Gabor transform

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DIGITAL SIGNAL PROCESSING 2021年 117卷

作者： Li, Rui Kwan, Hon Keung Anhui Sci & Technol Univ Coll Informat & Network Engn Bengbu 233030 Anhui Peoples R China Univ Windsor Dept Elect & Comp Engn Windsor ON N9B 3P4 Canada

According to the Heisenberg uncertainty principle, an analysis window with a high time resolution in time domain will result in a low frequency resolution in frequency domain, and vice versa. To obtain the Gabor spectrum with high time-frequency resolution and concentration, weighted multiwindow discrete Gabor transform (M-DGT) using weights and the biorthogonal analysis method for analyzing long (or infinite) sequences is proposed in this paper, in which the combined Gabor coefficients constructed by a combination of M-DGT coefficients can be adaptively changed according to the time-frequency distributions of an analyzed signal containing multiple time-varying frequencies. To obtain the weights of the weighted M-DGT, the M-DGT is converted into a sparse problem with l(1)-l(2) regularization, then an efficient iterative algorithm for solving the weights in terms of real-valued matrix and real-valued vector is derived. The convergence of the iterative algorithm is proved by optimization theory. The experimental results demonstrate that the proposed method is an effective and efficient tool for nonstationary timefrequency analysis of signals. (C) 2021 Elsevier Inc. All rights reserved.

关键词： Discrete Gabor transform Weighted multiwindow discrete Gabor transform Time-frequency analysis Long and infinite sequences iterative algorithm

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Reducing the Noise Impact of Small Aircraft through Indirect Trajectory Optimization

Reducing the Noise Impact of Small Aircraft through Indirect...

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AIAA Aviation Forum

作者： Galles, Matthew B. Newman, Brett NASA Langley Res Ctr Struct Acoust Branch MS 463 Hampton VA 23681 USA Old Dominion Univ Dept Mech & Aerosp Engn Norfolk VA 23529 USA

ISBN: (数字)9781624105982

ISBN: (纸本)9781624105982

This research examined the feasibility of incorporating an acoustic metric into the optimization of an aircraft trajectory to reduce the noise experienced by an observer. The method investigated a perturbed path of an unmanned aerial system with specified boundary conditions on position and velocity while maintaining a nominal flight speed. An acoustic model based on Gutin's work was developed to estimate propeller noise as a function of flight parameters, propulsion characteristics, and spatial location. A trajectory was then optimized a priori to reduce the noise experienced by an observer. Multiple simulations were performed and results showed that integrating an acoustic metric into the path planning process could be used to reduce the noise impact on an observer with no perturbation to the nominal flight speed.

关键词： Pontryagin's Maximum Principle Aircrafts Propeller Noise Real Time Path Planning Aircraft Trajectory Unmanned Aerial Systems Overall Sound Pressure Level Flight Control System iterative algorithm Flight Trajectory

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