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检索条件"主题词=Adaptive Algorithm"

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NON-NEGATIVE ONLINE ESTIMATION FOR HAWKES PROCESS NETWORKS

NON-NEGATIVE ONLINE ESTIMATION FOR HAWKES PROCESS NETWORKS

引用

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

作者： Piggott, Marc Solo, Victor Univ New South Wales Sch Elect Engn & Telecommun Sydney NSW Australia

ISBN: (纸本)9781538646588

Networks of interacting Hawkes processes have emerged as useful models in neuroscience, geophysics, high frequency finance, and social network analysis. The Hawkes process is of fundamental importance, being a point process analog of an autoregression. Here we develop a fixed gain adaptive (aka online) distributed estimator for the parameters of a Hawkes process model. The stochastic intensity is modeled by a causal Laguerre basis expansion. The natural recursive structure of this basis is exploited to derive a new two time scale adaptive algorithm based on exponentially weighted least squares which preserves non-negativity constraints. Simulations illustrate the results.

关键词： Hawkes process adaptive algorithm NMF distributed algorithm

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adaptive CLAHE Image Enhancement Using Imaging Environment Self-perception 17th

Adaptive CLAHE Image Enhancement Using Imaging Environment S...

引用

17th International Conference on Man-Machine-Environment System Engineering (MMESE)

作者： Liu, Haoting Yan, Beibei Lv, Ming Wang, Junlong Wang, Xuefeng Wang, Wei Beijing Inst Aerosp Control Device Beijing 100854 Peoples R China Chinese Peoples Armed Police Forces Gen Hosp Beijing 100854 Peoples R China

ISBN: (纸本)9789811062322;9789811062315

A novel Contrast Limited adaptive Histogram Equalization (CLAHE) image enhancement method which uses the environment self-perception mechanism is proposed. First, the typical degraded image datasets are collected. Second, several Image Quality (IQ) evaluation metrics are used to assess the imaging effect of these datasets above. Third, a BP network is employed to build the connection between the IQ evaluation results above and the optimal control parameters tuning results of the classic CLAHE. The optimal control parameters tuning results are gotten by the subjective evaluation and the setting of the control parameters of the classic CLAHE. The expert experiences of the optimal enhancement are used as the evaluation benchmark. Finally, when a new degraded image is captured, its IQ evaluation metrics will be computed and its optimal control parameters will be forecasted by the BP network and the computed IQ evaluation metrics. Many experiment results have shown the effectiveness of proposed method.

关键词： Image enhancement CLAHE Environment perception adaptive algorithm Environment adaptability

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Improving Generative Adversarial Networks with adaptive Control Learning 33

Improving Generative Adversarial Networks with Adaptive Cont...

引用

33rd IEEE International Conference on Visual Communications and Image Processing (IEEE VCIP)

作者： Ma, Xiaohan Jin, Rize Sohn, Kyung-Ah Paik, JoonYoung Sun, Jing Chung, Tae-Sun Ajou Univ Dept Software Suwon South Korea Tianjin Polytech Univ Sch Comp Sci & Software Engn Tianjin Peoples R China

ISBN: (纸本)9781538644584

Generative adversarial networks (GANs) are well known both for being unstable to train and for the problem of mode collapse, particularly when trained on data collections containing a diverse set of visual objects. This study introduces an adaptive hyper-parameter learning procedure for GANs as an alternative to the existing static approach. The proposed procedure is designed to mitigate the impact of instability and saturation in the original by dynamically adjusting the ratio of the training steps of both the generator and discriminator. To accomplish this, we track and analyze stable training curves of relatively narrow datasets and use them as the target fitting lines when training more diverse data collections. Experimental results show that the proposed model improves the stability and generates more realistic images.

关键词： Generative adversarial networks image synthesis adaptive algorithm

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A GNSS Receiver Interference Suppression Technique based on Wavelet Packet Transform

A GNSS Receiver Interference Suppression Technique based on ...

引用

作者： Jian Huang Yong Xu Qing Chang School of Electronic and Information Engineering Beihang University Institute of Unmanned Systems Research Beihang University

Global navigation satellite systems(GNSSs) have been widely used in military and civil fields, and the security and application of GNSSs have been greatly weakened by various intentional and unintentional interference. An interference suppression technique based on wavelet packet transform(WPT) is proposed in this paper, which can effectively suppress interference in the same frequency band of the GNSS receiver. First, we introduce the principles and implementation of WPT. The anti-jamming performance of the proposed method is evaluated according to the carrier-to-noise ratio(CNR) at the receiving end. Additionally, the differences in the anti-jamming performance of the proposed algorithm for different types of interference are analyzed. In a case where the spread spectrum code rate is 2.046 MHz, for the pulse interference shown in Table 2, the maximum interference-to-signal ratio(ISR) that can be suppressed by the proposed method is 100 dB. For sweep interference, the maximum ISR that can be suppressed is 80 dB, and for single-tone interference, the maximum ISR that can be suppressed is 80 dB.

关键词： global satellite navigation system wavelet packet transform interference suppression adaptive algorithm

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Weak-Barrier Coverage with adaptive Sensor Rotation 12th

Weak-Barrier Coverage with Adaptive Sensor Rotation

引用

12th Annual International Conference on Combinatorial Optimization and Applications (COCOA)

作者： Aranzazu-Suescun, Catalina Cardei, Mihaela Florida Atlantic Univ Dept Comp & Elect Engn & Comp Sci Boca Raton FL 33431 USA

ISBN: (纸本)9783030046514;9783030046507

Wireless sensor networks have been widely used in environment, climate, animal monitoring, surveillance, and also in the medical field. When deploying sensors to monitor boundaries of battlefields or country borders, sensors are usually dispersed from an aircraft following a predetermined path. In such scenarios sensing gaps are usually unavoidable. We consider a wireless network consisting of randomly deployed sensor nodes and directional border nodes deployed using a random line-based deployment model. In this paper we propose an adaptive distributed algorithm for weak-barrier coverage that allows border nodes to dynamically compute their orientation based on notifications from the sensor nodes, such that to increase the number of intruders detected by the border nodes. We use simulations to analyze the performance of our algorithm and to compare it with a non-adaptive gap mending algorithm.

关键词： adaptive algorithm Directional border nodes Distributed algorithm Wireless sensor networks Weak-barrier coverage

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adaptive Video Content Manipulation for OLED Display Power Management 18

Adaptive Video Content Manipulation for OLED Display Power M...

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15th EAI International Conference on Mobile and Ubiquitous Systems - Computing, Networking and Services (Mobiquitous)

作者： Bhojan, Anand Natl Univ Singapore Singapore Singapore

ISBN: (纸本)9781450360937

Emerged as a choice of display for vivid colours and power efficiency in expensive Smartphones, in recent days Organic Light Emitting Diode (OLED) displays are increasingly replacing Liquid Crystal Displays (LCD) and Plasma in Smartphones and large screen Televisions. Yet, OLED displays are one of the most energy consuming modules in modern Smartphones. Power consumption of OLED displays have strong correlation with the colours illuminated by its pixels. Improvements in pixel density by manufacturers makes the displays more power hungry. In this paper, we present Human Visual System (HVS) aware adaptive colour transformation and darkening methods to create power-efficient videos for OLED displays while preserving visual fidelity of the videos. Our measurements and subjective evaluations show that we can save up to 60% of energy consumption with minimum distortion to visual quality of the video. As our colour transformation process uses pre-computed colour-map and the darkening process uses the gamma-correction function which is already implemented in most of the display hardware, run-time computation overheads are minimum and hence, our method can be used to manipulate realtime/live video streams as well.

关键词： smartphone oled mobile television power energy green tv adaptive algorithm display hardware graphics image video image processing video processing

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Performance Analysis of Positioning and Tracking of Hypersonic Vehicle Based on Improved CS Model

Performance Analysis of Positioning and Tracking of Hyperson...

引用

2019 2nd International Conference on Mechanical,Electronic and Engineering Technology(MEET 2019)

作者： Jianghui Zeng Yongming Gao Dan Ding Graduate School Space Engineering University Aerospace Information Institute Space Engineering University Department of Electronics and Optical Engineering Space Engineering University

Aiming at the problem of positioning and tracking of hypersonic vehicles in adjacent space, the positioning and tracking performance of space-based infrared low-orbit satellite binary star system for hypersonic vehicles is explored. According to the kinematic equation of the established hypersonic vehicle, based on STK and Matlab simulation software, The real trajectory of the target, the tracking observation scene of the binary star for the target aircraft is built in the STK simulation software. The Cubature Kalman filter algorithm based on the CS model is studied. According to the shortcomings of the CS model, the key parameters are self-determined Adapt to the adjustment. The simulation results show that the parameter adaptive algorithm is improved compared to the original algorithm.

关键词： LEO Hypersonic vehicle Binary-Satellites positioning and tracking CS model adaptive algorithm

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Pattern Recognition Using adaptive Schur-like Parametrization of Signals with Forgetting Factor 10

Pattern Recognition Using Adaptive Schur-like Parametrizatio...

引用

International Conference on Signals and Electronic Systems (ICSES)

作者： Libal, Urszula Wroclaw Univ Sci & Technol Signal Proc Syst Dept Wroclaw Poland

ISBN: (纸本)9781538667682

The paper presents a feature extraction method for signal classification tasks. The proposed method is based on linear adaptive Schur-like parametrization. The parametrization performance depends on a forgetting factor. The impact of forgetting factor, used in the adaptive procedure, on the quality of recognition was tested on well-known benchmark data.

关键词： Schur parametrization feature extraction adaptive algorithm signal processing pattern recognition

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A Convex-Combined Step-Size-Based Normalized Modified Filtered-x Least Mean Square algorithm for Impulsive Active Noise Control Systems 26

A Convex-Combined Step-Size-Based Normalized Modified Filter...

引用

European Signal Processing Conference (EUSIPCO)

作者： Akhtar, Muhammad Tahir Nazarbayev Univ Sch Engn Dept Elect & Comp Engn Kabanbay Batyr Ave 53 Astana Kazakhstan

ISBN: (纸本)9789082797015

The celebrated filtered-x least mean square (FxLMS) algorithm does not work well for active noise control (ANC) of impulsive source. In previous attempts, the robustness of FxLMS algorithm has been improved by thresholding the reference and/or error signals used in the ANC system. However, estimating these thresholds is not any easy task in most of the practical scenarios. The need for appropriate thresholds is avoided in a previously proposed improved normalized-step-size FxLMS (INSS-FxLMS) algorithm, however, there is a trade-off situation between the convergence speed and steady-state performance as a fixed step-size needs to be selected properly. In this paper, we propose a novel algorithm for impulsive ANC (IANC) systems. The proposed algorithm is based on the previously proposed INSS-FxLMS. The main idea to employ a convex-combined step-size which automatically converges to a large value to improve the convergence speed during the transient state, and to a small value as the IANC system converges at the steady-state. Extensive simulation results are presented to demonstrate the effective performance of the proposed algorithm.

关键词： adaptive algorithm active noise control impulsive noise convex combination variable step-size

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Satellite Attitude Control Based on Backstepping adaptive sliding-mode Method

Satellite Attitude Control Based on Backstepping Adaptive sl...

引用

Chinese Automation Congress (CAC)

作者： Xie, Fangyuan Zhang, Aimin Zhang, Hang Xi An Jiao Tong Univ Xian Shaanxi Peoples R China

ISBN: (纸本)9781728113128

A backstepping adaptive sliding-mode attitude control method was proposed for a three-axis stabilized satellite attitude control system with uncertain external disturbances. This method combined backstepping control with sliding-mode control, and used adaptive algorithm to estimate the external disturbances. so that. the external disturbances was suppressed Lyapunov stability analysis showed that the closed-loop system was proved to be theoretically stable. The simulation results show that the controller can effectively deal with the influence o f external disturbance in attitude control, and has certain application value.

关键词： satellite attitude tracking adaptive algorithm backstepping sliding-mode

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