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A Block Parallel l_0-Norm Penalized Shrinkage and Widely Linear Affine Projection algorithm for adaptive Filter

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China Communications 2017年第1期14卷 86-97页

作者： Youwen Zhang Shuang Xiao Lu Liu Dajun Sun Acoustic Science and Technology Laboratory Harbin Engineering University Harbin 150001 China College of Underwater Acoustic Engineering Harbin Engineering University Harbin 150001 China

To improve the identification capability of AP algorithm in time-varying sparse system, we propose a block parallel l_0-SWL-DCD-AP algorithm in this paper. In the proposed algorithm, we first introduce the l_0-norm constraint to promote its application for sparse system. Second, we use the shrinkage denoising method to improve its track ability. Third, we adopt the widely linear processing to take advantage of the non-circular properties of communication signals. Last, to reduce the high computational complexity and make it easy to implemented, we utilize the dichotomous coordinate descent(DCD) iterations and the parallel processing to deal with the tapweight update in the proposed algorithm. To verify the convergence condition of the proposed algorithm, we also analyze its steadystate behavior. Several simulation are done and results show that the proposed algorithm can achieve a faster convergence speed and a lower steady-state misalignment than similar APA-type algorithm. When apply the proposed algorithm in the decision feedback equalizer(DFE), the bite error rate(BER) decreases obviously.

关键词： signal processing adaptive algorithm LMS l0-norm shrinkage linear DCD

An adaptive algorithm for pass adaptation in plate rolling

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Journal of University of Science and Technology Beijing 2002年第5期9卷 396-399页

作者： Zhichun Mu, WeimingLi, and Ke LiuInformation Engineering School, University of Science and Technology Beijing, Beijing 100083, China Univ Sci & Technol Beijing Informat Engn Sch Beijing 100083 Peoples R China

A new algorithm for pass adaptation in plate rolling is developedto improve thickness accuracy of plate products. The feature of thealgorithm is that it uses the measured data rather than the schedulecalculated data in adaptation, which leads to notable improvem- entin prediction accuracy of the rolling parameters and thicknessaccuracy of products can be improved according. Results show thatthis adaptive algorithm is effective in practice.

关键词： adaptive algorithm plate rolling measured data

A novel algorithm of adaptive IIR lattice notch filter and performance analysis

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Journal of Shanghai University(English Edition) 2007年第5期11卷 485-489页

作者：秦鹏蔡萍 School of ElectronicInformation and Electrical Engineering Shanghai Jiaotong University Shanghai 200030 P. R. China

A novel adaptive algorithm of IIR lattice notch filter realized by all-pass filter is presented. The time-averaged estimation of cross correlation of the present instantaneous input signal and the past output signal is used to update the step-size, leading to a considerably improved convergence rate in a low SNR situation and reduced steady-state bias and MSE. The theoretical expression for steady-state bounds on the step-size is derived, and the influence factors on the stable performance of the algorithm theoretically are analyzed. A normalized power factor is then introduced to control variation of step-size in its steady-state bounds. This technique prevents divergence due to the influence of large power input signal and improves robustness. Numerical experiments are performed to demonstrate superiority of the proposed method.

关键词： lattice notch filter adaptive algorithm cross correction steady-state bounds normalized power factor.

A multi-crossover and adaptive island based population algorithm for solving routing problems

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Journal of Zhejiang University-Science C(Computers and Electronics) 2013年第11期14卷 815-821页

作者： Eneko OSABA Enrique ONIEVA Roberto CARBALLEDO Fernando DIAZ Asier PERALLOS Xiao ZHANG Deusto Institute of Technology (DeustoTech) University of Deusto

We propose a multi-crossover and adaptive island based population algorithm(MAIPA).This technique divides the entire population into subpopulations,or demes,each with a different crossover function,which can be switched according to the efficiency.In addition,MAIPA reverses the philosophy of conventional genetic algorithms.It gives priority to the autonomous improvement of the individuals(at the mutation phase),and introduces dynamism in the crossover probability.Each subpopulation begins with a very low value of crossover probability,and then varies with the change of the current generation number and the search performance on recent generations.This mechanism helps prevent premature convergence.In this research,the effectiveness of this technique is tested using three well-known routing problems,i.e.,the traveling salesman problem(TSP),capacitated vehicle routing problem(CVRP),and vehicle routing problem with backhauls(VRPB).MAIPA proves to be better than a traditional island based genetic algorithm for all these three problems.

关键词： Island model adaptive algorithm Combinatorial optimization Vehicle routing problems Intelligent transportation systems

Study of a Modified Fast adaptive algorithm for Digital Beamforming

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Journal of Systems Engineering and Electronics 1998年第4期9卷 75-80页

作者： Wang Zhong(Dept. of Electronic Tech., Chengdu Climate College, 610054, P. R. China)Huang Shunji(Department of Electronic Engineering, University of Electronic Science and Technology of China,Cbengdu 610054, P. R. China) Dept. of Electronic Tech. Chengdu Climate College 610054. P. R. China Department of Electronic Engineering University of Electronic Science and Technology of China Chengdu 610054 P. R. China

This paper provides a modified fast adaptive algorithm for digital beamforming. It is analgorithm with strict constraint minimum power sampling matrix gradient (CSMG). It has merits ofboth traditional sampling mains gradient (SMG) and strictly constrained minimum power adaptivealgorithm. 16-element uniform circular array is selected. Some results of computer simulation aregiven. The results indicate that the beam direction will change with constraint angle and can beadaptable to adjust zero very well. The algorithm is fast convergent.

关键词： Beam steering adaptive algorithm Gradient Convergeuce

An adaptive User Service Deployment Strategy for Mobile Edge Computing

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China Communications 2022年第10期19卷 238-249页

作者： Gang Li Jingbo Miao Zihou Wang Yanni Han Hongyan Tan Yanwei Liu Kun Zhai Institute of Information Engineering Chinese Academy of SciencesBeijing 100093China School of Cyber Security University of Chinese Academy of SciencesBeijing 101408China National Computer Network Emergency Response Technical Team/Coordination Center of China Beijing 100029China Sunwise Intelligent Technology Company Beijing 100190China

Mobile edge computing(MEC) is a cloud server running at the edge of a mobile network, which can effectively reduce network communication delay. However, due to the numerous edge servers and devices in the MEC, there may be multiple servers and devices that can provide services to the same user simultaneously. This paper proposes a userside adaptive user service deployment algorithm ASD(adaptive Service Deployment) based on reinforcement learning algorithms. Without relying on complex system information, it can master only a few tasks and users. In the case of attributes, perform effective service deployment decisions, analyze and redefine the key parameters of existing algorithms, and dynamically adjust strategies according to task types and available node types to optimize user experience delay. Experiments show that the ASD algorithm can implement user-side decision-making for service deployment. While effectively improving parameter settings in the traditional Multi-Armed Bandit algorithm,it can reduce user-perceived delay and enhance service quality compared with other strategies.

关键词： edge computing adaptive algorithm reinforcement learning computing unloading service deployment

AN adaptive VARIANT OF CGNR algorithm

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Numerical Mathematics A Journal of Chinese Universities(English Series) 2001年第1期10卷 79-90页

作者：李春光

An adaptive algorithm for solving large nonsymmetric linear systems is presented in this paper. The new algorithm combines polynomial preconditioning technique with the CGNR method. Residual polynomial is used in the preconditioning to estimate the eigenvalues of the s.p.d. matrix A TA, and the residual polynomial is generated from several steps of CGNR by recurrence. The algorithm is adaptive during its implementation. The robustness is maintained, and the iteration convergence is speeded up. Two numerical test results are also reported.

关键词： linear systems CGNR algorithm adaptive algorithm robustness.

An Efficient Reference Free adaptive Learning Process for Speech Enhancement Applications

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Computers, Materials & Continua 2022年第2期70卷 3067-3080页

作者： Girika Jyoshna Md.Zia Ur Rahman L.Koteswararao Deptartment of Electronics and Communication Engineering Koneru Lakshmaiah Education FoundationKL UniversityVaddeswaramGunturAndhra PradeshIndia Department of Electronics and Communication Engineering Koneru Lakshmaiah Education FoundationKL UniversityHyderabadTelanganaIndia

In issues like hearing impairment,speech therapy and hearing aids play a major role in reducing the impairment.Removal of noise signals from speech signals is a key task in hearing aids as well as in speech therapy.During the transmission of speech signals,several noise components contaminate the actual speech components.This paper addresses a new adaptive speech enhancement(ASE)method based on a modified version of singular spectrum analysis(MSSA).The MSSA generates a reference signal for ASE and makes the ASE is free from feeding reference component.The MSSA adopts three key steps for generating the reference from the contaminated speech only.These are decomposition,grouping and reconstruction.The generated reference is taken as a reference for variable size adaptive learning algorithms.In this work two categories of adaptive learning algorithms are used.They are step variable adaptive learning(SVAL)algorithm and time variable step size adaptive learning(TVAL).Further,sign regressor function is applied to adaptive learning algorithms to reduce the computational complexity of the proposed adaptive learning algorithms.The performance measures of the proposed schemes are calculated in terms of signal to noise ratio improvement(SNRI),excess mean square error(EMSE)and misadjustment(MSD).For cockpit noise these measures are found to be 29.2850,-27.6060 and 0.0758 dB respectively during the experiments using SVAL algorithm.By considering the reduced number of multiplications the sign regressor version of SVAL based ASE method is found to better then the counter parts.

关键词： adaptive algorithm speech enhancement singular spectrum analysis reference free noise canceller variable step size

A CLOSED-FORM WIDEBAND DIRECTION-OF-ARRIVAL ESTIMATION WITH CHIRPLET-BASED adaptive SIGNAL DECOMPOSITION algorithm

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Journal of Electronics(China) 2003年第1期20卷 1-7页

作者： Feng Aigang Yin Qinye Wu Xiaojun Zhao Zheng(Institute of Information Engineering , Xi’an Jiaotong University, Xi’an 710019) Institute of Information Engineering Xi'an Jiaotong University Xi'an 710049

The Direction-Of-Arrival (DOA) estimation with Coherent Signal Subspace (CSS)is not easy to cxtend from narrowband to wideband case.Time-frequency analysis is a powerfultechnique to deal with time-variant or non-stationary signal. Its combination with CSS exploresa new field in signal processing, especially the wideband DOA estimation. The chirp function isone of the most fundamental functions in nature. Many nature events can be modeled as chirpletfunction, such as radar system or scismic exploring.Hence,the chirplet-based signal decomposi-

关键词： Time-frequency analysis adaptive algorithm DOA estimation