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检索条件"任意字段=Conference on Advanced Signal Processing Algorithms"

共 3487 条记录，以下是3341-3350 订阅

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Combined Stockwell and Hilbert Transforms Based Technique for the Detection of Islanding Events in Hybrid Power System

Combined Stockwell and Hilbert Transforms Based Technique fo...

引用

Annual conference of Industrial Electronics Society

作者： Om Prakash Mahela Ehsan Heydarian-Forushani Hassan Haes Alhelou Baseem Khan Akhil Ranjan Garg Ameena Saad Al-Sumaiti Power System Planning Division RVPN Jaipur India Esfahan Electricity Power Distribution Company Esfahan Iran Tishreen University Lattakia Syria Hawassa University Ethiopia JNVU Jodhpur India Advanced Power and Energy Center Khalifa University Abu Dhabi UAE

ISBN: (数字)9781728154145

ISBN: (纸本)9781728154152

This paper presents a technique using hybrid features extracted from current signals using Stockwell and Hilbert Transforms for detecting the islanding events and operational events of renewable energy generators and loads. The study is performed on a hybrid power system test network incorporating wind and solar power generators. Results are computed using MATLAB/Simulink software for a variety of case studies. Through the applied technique islanding events are successfully identified and discriminated from operational events.

关键词： Islanding Generators Indexes Transforms Power systems Feature extraction signal processing algorithms

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Energy Efficiency Optimization in IRS-Enhanced mmWave Systems with Lens Antenna Array

Energy Efficiency Optimization in IRS-Enhanced mmWave System...

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GLOBECOM 2020 - 2020 IEEE Global Communications conference

作者： Yazheng Wang Hancheng Lu Dan Zhao Huan Sun Key Laboratory of Wireless-Optical Communications University of Science and Technology of China Hefei China Wireless Technology Laboratory Huawei Technologies Co. Ltd. Shanghai China

ISBN: (数字)9781728182988

ISBN: (纸本)9781728182995

In millimeter wave (mmWave) systems, the advanced lens antenna array can effectively reduce the radio frequency chains cost. However, the mmWave signal is still vulnerable to blocking obstacles and suffers from severe path loss. To address this problem, we propose an intelligent reflecting surface (IRS) enhanced multi-user mmWave communication system with lens antenna array. Moreover, we attempt to optimize energy efficiency in the proposed system. An energy efficiency maximization problem is formulated where the transmit beamforming at base station and the reflect beamforming at IRSs are jointly considered. To solve this non-convex problem, we propose an algorithm based on the alternating optimization technique. In the proposed algorithm, the transmit beamforming is handled by the sequential convex approximation method and the reflect beamforming is optimized based on the quadratic transform method. Our simulation results show that the proposed algorithm can achieve significant energy efficiency improvement under various scenarios.

关键词： Array signal processing Transforms Approximation algorithms Energy efficiency Optimization Antenna arrays Lenses

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An efficient optimal task allocation and scheduling algorithm for cyclic synchronous applications

An efficient optimal task allocation and scheduling algorith...

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IEEE International conference on Embedded and Real-Time Computing Systems and Applications (RTCSA)

作者： Hee-Jun Park Byung Kook Kim Department of Electrical Engineering Korea Advanced Institute of Science and Technology Taejon South Korea

We present an efficient optimal algorithm that allocates and schedules cyclic synchronous tasks into fully connected processors. We consider applications with cyclic synchronous tasks with heavy communication traffic, which run on multiprocessors with a fully connected communication network. We suggest the computing period as the performance measure to minimize the overall computation time. We use an individual start policy for task scheduling, and also introduce concepts and characteristics of the local period and the global period. To solve the complicated optimal scheduling problem in an efficient way, we propose a new spatial scheduling technique using scheduling space which represents all possible schedules in multi-dimensional space. By using spatial searching and an enhanced branch-and-bound technique, the optimal task allocation and schedule which minimizes the computing period can be found efficiently. Various examples and scheduling results show the efficiency of the proposed algorithm.

关键词： Scheduling algorithm Processor scheduling Optimal scheduling Multiprocessing systems signal processing algorithms System-on-a-chip Time measurement Parallel processing Computer architecture Dynamic scheduling

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Clutter Suppression of Wind Farm for Airborne Radar Based on EFA

Clutter Suppression of Wind Farm for Airborne Radar Based on...

引用

IEEE International conference on Radar

作者： Ying Zhang Xinyun Zhang Weikun He Xiaoliang Wang Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China Tianjin China

ISBN: (纸本)9781665468893

With the rapid development of wind power generation, the clutter generated by wind farms may lead to the problems such as decreased detection probability, increased false alarm rate, and target track divergence. Research on the wind farm clutter mitigation technology for airborne radar is vital. Considering the special problems of the wind farm clutter mitigation for airborne radar, such as the less prior information and the more complicated spectrum of the echoes, it is difficult to suppress the wind farm clutter with non-Gaussian and dynamic characteristics. In this paper, the extended factored approach (EFA) algorithm is used to suppress the wind farm clutter through space-time adaptive processing of airborne array radar echoes. The EFA algorithm does not need the prior information of wind farm clutter or a large number of training data and can adaptively form null with a certain width in the Doppler domain. The null is used to suppress the wind farm clutter, which can avoid the interference of the wind farm clutter on the detection of aircraft targets and improve the detection probability of airborne radar. The experiment results verify the effectiveness of the proposed method.

关键词： Radar clutter Spaceborne radar Heuristic algorithms Airborne radar Adaptive arrays Training data Wind farms

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A Novel Deep Learning based Neural Network for Heartbeat Detection in Ballistocardiograph

A Novel Deep Learning based Neural Network for Heartbeat Det...

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Annual International conference of the IEEE Engineering in Medicine and Biology Society

作者： Han Lu Haihong Zhang Zhiping Lin Ng Soon Huat Nanyang Technological University Singapore Singapore SG Agency for Science Technology and Research Singapore SG

Ballistocardiography (BCG) is a revamped technology for cardiac function monitoring. Detecting individual heart beats in BCG remains a challenging task due to various artifacts and low signal-to-noise ratio, which are not well addressed by conventional approaches based on intuitive observations of BCG waveforms. In this paper, we propose to employ deep learning networks to capture the characteristics of the variations of BCG waveforms within and across individual subjects. Particularly, we design a neural network that combines Convolutional-Neural-Network (CNN) and Extreme Learning Machine (ELM). We test the new learning method on a real BCG data set and show better detection result compared with a state-of-the-art method. We demonstrate how the advanced machine learning technology can learn and detect BCG waveforms robustly.

关键词： Feature extraction Heart beat Training Convolution Electrocardiography signal processing algorithms Testing

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Multi-cell Distributed Interference Cancellation for Co-operative Pico-cell Clusters

Multi-cell Distributed Interference Cancellation for Co-oper...

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IEEE Global Communications conference

作者： Shirish Nagaraj M. R. Raghavendra Philip J. Fleming Michael Honig Technology & Strategy - Advanced Technologies Nokia Siemens Networks Dept. of Elec. Engineering and Comp. Science Northwestern University

ISBN: (纸本)9781467309202

Alternative wireless topologies, e.g., an underlay network of Pico-cells, are increasingly seen as being necessary to enhance capacity and coverage in next generation wireless systems. Such networks of closely-spaced base-sites have to contend with high interference issues, wherein interference mitigation via power control or interference co-ordination may not be sufficient. Capacity can be significantly enhanced by Coordinated Multi-Point (CoMP) techniques, which allow cooperative signal processing to jointly decode user's signals, especially given fast communication links between the nodes. In this paper, we present a cooperative system design for the uplink of LTE for providing high capacity solutions in dense deployments. We propose non-linear receiver algorithms for inter-cell interference suppression and cancellation based on a decentralized multistage cancellation architecture using user-specific clustered Pico-cell antennas. An interference cancellation method acting on post-antenna combined signal is proposed to reduce the computational complexity of the receiver. The decoding latency inherent in multistage receivers is another key bottleneck, which is addressed in this paper by a method to predict the ACK/NACK status at the output of the multistage receiver before actually doing the cancellation. Simulation results for a dense stadium deployment of Pico-cells are presented that show significant capacity gains with the proposed approaches.

关键词： Interference cancellation CANCELLATIONS Receivers MULTISTAGE disturbance suppression CARRIER SYSTEM up link Local thermodynamic equilibrium Power control DECODING signal processing complexity classes

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Decision-Directed Channel Equalizer Scheme Based on the Recursive Non Quadratic Adaptive Algorithm

Decision-Directed Channel Equalizer Scheme Based on the Recu...

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Advances in Electronics, Control and Communication Systems (ICAECCS), International conference on

作者： Fatima Lounoughi Mohamed Djendi Electronic dept Signal Processing and Image Laboratory (LATSI) Saad Dahleb University Blida Alegria

This paper presents a new adaptive decision directed equalizer (DDE) for the receivers of advanced Wireless communication systems. The proposed approach is based on the use of a recursive non quadratic (RNQ) adaptive algorithm in a DDE system with a training sequence, the new algorithm is denoted DDE-RNQ. The proposed DDE-RNQ equalizer achieves better performances in different situations even when strong noise components are present in the channel. In the proposed DDERNQ, the non quadratic distance criterion between the equalizer output and the decision circuit is used rather than the squared mean square error (MSE) distance for the computation of the branch metrics. Compared to the conventional DDE based normalized least mean square (DDE-NLMS) equalizer, the proposed DDE-RNQ shows superior performances of speed convergence and residual error versus the original DDE-NLMS equalizer in terms of MSE.

关键词： Training Wireless communication Adaptive systems Equalizers Adaptive algorithms Symbols Modulation

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Improving ALS Diagnosis Based on Human EEG signal Analysis with Machine Learning

Improving ALS Diagnosis Based on Human EEG Signal Analysis w...

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Iranian conference of Biomedical Engineering (ICBME)

作者： Ali Abedi Gholamreza Moradi Reza Sarraf Shirazi Mehran Jahed Electrical Engineering Department Amirkabir University of Technology Tehran Iran Electrical Engineering Department Sharif University of Technology Tehran Iran

ISBN: (数字)9798331529710

ISBN: (纸本)9798331529727

Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease of the motor neurons in the central nervous system, which causes considerable morbidity and mortality. The basis for effective management and intervention rests on early and accurate diagnosis. This paper seeks to propose a method to improve diagnostic precision for ALS using an approach with machine learning techniques coupled with Electroencephalography (EEG) signals. EEG data from 10 ALS patients and 7 healthy controls are broadly classified based on state-of-the-art EEG-based brain signal processing and advanced algorithms of classification. Using the K-Nearest Neighbors and Support Vector Machine classifiers results in an accuracy of $\mathbf{9 4. 1 1 \%}$ and $100 \%$, respectively. We further shared common EEG features across ALS, Parkinson, and Multiple Sclerosis, which we termed as common mode features (CMF), suggesting the possibility of a shared biomarker for these neurodegenerative conditions. Our results emphasize the capability of EEG-based Machine Learning models in distinguishing ALS from healthy conditions, hence opening an avenue for its early diagnosis and distinction from other neurological disorders. This underlines the great potential that machine learning, when combined with EEG analysis, may have for transformational ALS diagnostics.

关键词： Support vector machines Accuracy Machine learning algorithms Biological system modeling Machine learning Nearest neighbor methods Feature extraction Brain modeling Electroencephalography Vectors

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To Cooperate or Not: A Capacity Perspective

To Cooperate or Not: A Capacity Perspective

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IEEE conference on Vehicular Technology (VTC)

作者： Li Wang Lingkun Kong Soon Xin Ng Lajos Hanzo School of ECS University of Southampton Southampton UK

ISBN: (纸本)9781424425181;9781424425198

It is widely recognized that differential decode-and-forward (DDF) cooperative transmission scheme is capable of providing a superior performance compared to classic direct transmissions employing differential detection, where no channel coding is used. However, the diversity gains achieved by the cooperative system become modest in practical channel coded scenarios, where the interleaving and channel coding gains dominate. Therefore, when a cooperative wireless communication system is designed to approach the maximum achievable spectral efficiency by taking the cooperation-induced multiplexing loss into account, it is not obvious, whether or not the relay-aided system becomes superior to its direct-transmission based counterpart, especially, when advanced channel coding techniques are employed. Hence in this paper the capacity of the single-relay-assisted DDF based cooperative system was studied in comparison to that of its direct-transmission based counterpart in order to answer the above-mentioned dilemma.

关键词： Channel coding Diversity methods Cooperative systems Transmitting antennas Wireless communication Relays Mobile antennas Decoding Interleaved codes signal processing algorithms

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Distributed solution of stochastic optimal control problems on GPUs

Distributed solution of stochastic optimal control problems ...

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IEEE Annual conference on Decision and Control

作者： Ajay K. Sampathirao Pantelis Sopasakis Alberto Bemporad Panagiotis Patrinos IMT Institute for Advanced Studies Lucca Piazza S. Fransesco 19 55100 Lucca Italy Dept. Electr. Eng. (ESAT) Stadius Centre for Dynamical Systems Signal Processing & Data Analytics KU Leuven Kasteelpark Arenberg 10 3001 Leuven Belgium

ISBN: (纸本)9781479978878

Stochastic optimal control problems arise in many applications and are, in principle, large-scale involving up to millions of decision variables. Their applicability in control applications is often limited by the availability of algorithms that can solve them efficiently and within the sampling time of the controlled system. In this paper we propose a dual accelerated proximal gradient algorithm which is amenable to parallelization and demonstrate that its GPU implementation affords high speedup values (with respect to a CPU implementation) and greatly outperforms well-established commercial optimizers such as Gurobi.

关键词： stochastic optimal control sampling time parallelization

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