检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

9,163 篇 会议
1,178 篇 期刊文献
1 篇 学位论文

馆藏范围

10,342 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

2,345 篇 工学
- 1,392 篇 电气工程
- 749 篇 计算机科学与技术...
- 493 篇 信息与通信工程
- 383 篇 控制科学与工程
- 248 篇 仪器科学与技术
- 161 篇 电子科学与技术（可...
- 160 篇 软件工程
- 128 篇 机械工程
- 97 篇 航空宇航科学与技...
- 59 篇 测绘科学与技术
- 49 篇 生物医学工程（可授...
- 28 篇 交通运输工程
- 27 篇 核科学与技术
- 22 篇 石油与天然气工程
- 18 篇 网络空间安全
- 15 篇 动力工程及工程热...
- 12 篇 土木工程
- 12 篇 环境科学与工程（可...
- 11 篇 船舶与海洋工程
386 篇 理学
- 188 篇 物理学
- 112 篇 系统科学
- 33 篇 地球物理学
- 29 篇 数学
- 12 篇 地理学
126 篇 医学
- 104 篇 临床医学
- 22 篇 特种医学
120 篇 管理学
- 115 篇 管理科学与工程(可...
- 11 篇 图书情报与档案管...
29 篇 文学
- 29 篇 新闻传播学
17 篇 农学
- 11 篇 农业资源与环境
6 篇 艺术学
5 篇 经济学
5 篇 军事学
4 篇 教育学

主题

10,342 篇 filtering algori...
1,683 篇 adaptive filters
1,084 篇 signal processin...
956 篇 algorithm design...
888 篇 information filt...
857 篇 filtering
767 篇 kalman filters
649 篇 convergence
517 篇 least squares ap...
517 篇 target tracking
481 篇 noise
462 篇 nonlinear filter...
451 篇 noise reduction
447 篇 noise measuremen...
436 篇 feature extracti...
426 篇 image edge detec...
398 篇 filtering theory
359 篇 finite impulse r...
350 篇 filters
335 篇 signal processin...

机构

17 篇 school of inform...
17 篇 school of electr...
17 篇 department of el...
16 篇 southwest jiaoto...
15 篇 university of ch...
15 篇 beijing universi...
13 篇 department of el...
13 篇 zhejiang busines...
13 篇 signal processin...
12 篇 information syst...
11 篇 department of el...
11 篇 department of el...
11 篇 school of electr...
11 篇 southwest jiaoto...
10 篇 department of el...
10 篇 school of inform...
10 篇 inrs-emt univers...
10 篇 department of el...
10 篇 harbin institute...
10 篇 school of electr...

作者

17 篇 w.k. jenkins
16 篇 zhao haiquan
15 篇 jacob benesty
15 篇 shin'ichi koike
13 篇 wei li
12 篇 t. kailath
12 篇 y. zhou
11 篇 li zhang
11 篇 asutosh kar
10 篇 kailath t
10 篇 s.c. chan
10 篇 songjie gong
9 篇 d.t.m. slock
9 篇 t. bose
9 篇 j. astola
9 篇 j.k. tugnait
9 篇 jun hu
8 篇 lei wang
8 篇 jian wang
8 篇 ming li

语言

10,167 篇 英文
142 篇 其他
29 篇 中文
2 篇 俄文
1 篇 西班牙文
1 篇 土耳其文

检索条件"主题词=filtering algorithms"

共 10342 条记录，以下是471-480 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Adaptive filtering Algorithm based on Reinforcement Learning

Adaptive Filtering Algorithm based on Reinforcement Learning

引用

Chinese Control and Decision Conference, CCDC

作者： Hongrui Lin Kelin Lu Yibai Wang School of Automation Southeast University Nanjing China

ISBN: (数字)9798350387780

ISBN: (纸本)9798350387797

Real-time state estimation of dynamic systems is a basic task in control theory and signal processing. Kalman filter is a minimum complex optimal state estimator for linear state space models with fully known system parameters, which is widely used in industrial production. However, in practical problems, accurate models and linear state-space models are often difficult to satisfy. In this paper, by combining reinforcement learning and Kalman filter, an adaptive strategy of state space model is designed based on PPO algorithm to improve the performance of state estimation under the inaccuracy conditions of the system model. The algorithm is called Reinforcement Learning Kalman filter algorithm (RLKF). Finally, we prove by numerical results that the Reinforcement Learning Kalman filtering algorithm overcomes the model mismatch and nonlinearity, and the accuracy is better than the traditional filtering algorithm.

关键词： Adaptation models Accuracy Adaptive systems Signal processing algorithms Reinforcement learning filtering algorithms Approximation algorithms

来源：评论

学校读者我要写书评

暂无评论

A Cloud Model-Based Collaborative filtering Approach for Sparse Data Recommendation Systems

A Cloud Model-Based Collaborative Filtering Approach for Spa...

引用

Computer Engineering and Intelligent Communications (ISCEIC), International Symposium on

作者： Xuepin Guo Xinyu Cui School of Information Science and Technology Hainan Normal University Haikou China Key Laboratory of Data Science and Education of Ministry of Education Haikou China

ISBN: (数字)9798331518677

ISBN: (纸本)9798331518684

Collaborative filtering is one of the most prominent recommendation methods, particularly excelling in recommending nonlinear resources. However, with the rapid increase in the number of users and items, the scarcity of co-rated items makes user similarity metrics less reliable. To address this, we first predict the ratings of unrated items based on item similarity, thereby increasing the number of co-rated items among users. Then, we employ user similarity measures to identify the nearest neighbor set for each user, and finally, generate recommendations for the target user. The results indicate that this method improves recommendation quality to a certain extent.

关键词： Measurement Collaborative filtering Computational modeling filtering algorithms Prediction algorithms Vectors Filling Data models Reliability Recommender systems

来源：评论

学校读者我要写书评

暂无评论

Optimizing FPGA Hardware Design for Temporal filtering of High-Definition Video

Optimizing FPGA Hardware Design for Temporal Filtering of Hi...

引用

International Conference on Computers, Communications, and Systems (ICCCS)

作者： Xingjian Fu College of Electrical and Electronic Engineering University of Nottingham Nottingham United Kingdom

ISBN: (数字)9798350350210

ISBN: (纸本)9798350350227

In daily life, noise reduction is an inevitable aspect of video or image processing because noise can affect the subjective quality of viewing. Therefore, video denoising filtering is a crucial operation in video image processing. Among various denoising methods, motion-compensated temporal filtering is a typical and effective filtering technique. However, there is still room for further research in the hardware implementation of this method. Hence, this paper investigates the Multi-hypothesis Motion-Compensated Filter algorithm and proposes an efficient hardware structure for the filtering algorithm. By parallelizing or pipelining various modules, hardware efficiency is effectively improved. By FPGA evaluation, the final experiments demonstrate that the hardware structure for motion-compensated temporal weighted filtering presented in this paper can meet the requirements of video denoising filtering with a resolution of 1920xl080@60fps.

关键词： filtering Communication systems Image processing Noise reduction Noise filtering algorithms Hardware

来源：评论

学校读者我要写书评

暂无评论

RCS Weighted filtering Method Suppresses Target Angle Flicker

RCS Weighted Filtering Method Suppresses Target Angle Flicke...

引用

Computers, Information Processing and Advanced Education (CIPAE), 2020 International Conference on

作者： Wei Hao Weiqiang Wang Yujie Hou Qing Liu Yangmeng Li Huayin Ordnance Weapons Test Centre Weinan China

ISBN: (数字)9798331527662

ISBN: (纸本)9798331527679

The relationship between RCS and target Angle flicker was established, and the calculation model of angle flicker suppression by weighted filter algorithm is established. The model is used to process and compare the simulation data and the measured data respectively, the results shows that the target RCS weighting method is suitable for suppressing target angular flicker. The angle measurement accuracy of radar can be improved by using RCS weighting method. The results show that the method can accurately determine the moment of extinction of the bottom row of projectiles. The method can also be used to determine the moment of ignition or extinction of other types of projectiles.

关键词： Weight measurement Fluctuations Radar cross-sections Accuracy filtering Projectiles Information processing Ignition filtering algorithms Data models

来源：评论

学校读者我要写书评

暂无评论

A Split-Merging K-Means Clustering Algorithm with User Attributes for Collaborative filtering

A Split-Merging K-Means Clustering Algorithm with User Attri...

引用

International Conference on Communications and Electronics, ICCE

作者： Dang Thi Nuong Nguyen Xuan Dung Phuong Xuan Quang Vinh Tran-Quang Hanoi University of Science and Technology Hanoi Vietnam

ISBN: (数字)9798350379792

ISBN: (纸本)9798350379808

Collaborative filtering (CF) stands out as a robust recommendation method that can significantly improve the accuracy of the recommendation system. Nevertheless, conventional CF algorithms face challenges such as cold start and data sparsity. This study presents an approach that combines a split-merging clustering algorithm with user attributes to improve CF performance. Initially, the Split-Merging Clustering (SMKC) algorithm is utilized to cluster users based on their rating vectors, resulting in SMKC. Subsequently, the similarity of the user is calculated by integrating attributes such as age, gender, and occupation to identify the nearest neighbors. Finally, item evaluations are predicted based on user similarities within the nearest-neighbor set to generate the list of recommendations. Experimental findings demonstrate that the proposed method outperforms traditional approaches in generating recommendation lists, addressing issues related to data sparsity and the inherent cold start in the data.

关键词： filtering Collaborative filtering Clustering algorithms filtering algorithms Prediction algorithms Vectors Partitioning algorithms

来源：评论

学校读者我要写书评

暂无评论

An Improved Adaptive filtering Methodology for Through-the-Earth Extremely Low Frequency Electromagnetic Signals

An Improved Adaptive Filtering Methodology for Through-the-E...

引用

IEEE International Conference on Information Communication and Signal Processing (ICICSP)

作者： Baishi Yu Yunju Wu Liang Qian Zhiping Zhao Yunfeng Guan Department of Electronic Engineering Shanghai Jiao Tong University Shanghai China Hanjiang National Laboratory Wuhan China Yichang Testing Technology Research Institute Yichang China Institute of Wireless Communication Technology Shanghai Jiao Tong University Shanghai China

ISBN: (数字)9798350355895

ISBN: (纸本)9798350355901

In through-the-earth extremely low frequency elec-tromagnetic explorations and communications, it is customary to deploy observation receivers with varying transmitter-receiver distances for synchronized observations. The signal-to-noise ratio (SNR) of receiving signals has intense relationship with the distance between the transmitter and receiver. Usually, when the distance is relatively large, it will cause obvious deviations or even errors in the subsequent processing and analysis. However, it is difficult for us to reduce noise without causing phase damage. In this paper, an improved adaptive filtering method was proposed, which took the electric field data with high SNR of the nearby receiver as the reference signal, and then extracted the components related to the reference signal in the electric field data with low SNR of the remote receiver, so as to reduce the local noise in the data of the remote receiver. The processing of simulated and measured data demonstrated that the proposed method did not damaged the phase and effectively improved the data quality.

关键词： Phase measurement Ground penetrating radar Transmitters Sea measurements Geophysical measurement techniques Receivers filtering algorithms Electric fields Electromagnetics Signal to noise ratio

来源：评论

学校读者我要写书评

暂无评论

Acoustic Noise Reduction in Resolver-Based PMSM Servo Drives Using NLMS Adaptive filtering

Acoustic Noise Reduction in Resolver-Based PMSM Servo Drives...

引用

International Conference on Electrical Machines and Systems (ICEMS)

作者： Tao Li Chaohui Liang Duhuang Su Department of Motor and Power Control Research Spintrol Technology (Shenzhen) Co. Ltd. Shenzhen P. R. China

ISBN: (数字)9784886864406

ISBN: (纸本)9798350379105

Servo drives that utilize resolvers for angular feedback typically exhibit higher noise levels than those equipped with optical encoders, particularly when the servo drive system operates with higher control bandwidths. In such cases, resolver noise can introduce additional acoustic noise. This paper presents some of the main causes of noise in servo drive systems associated with resolvers, proposes a novel noise suppression method based on Normalized Least-Mean-Square (NLMS) adaptive filters, and compares it with conventional notch filter-based noise reduction techniques. Simulations and experiments demonstrate that this method can effectively reduce audible noise in the servo system without compromising the dynamic performance of the current control loops.

关键词： Optical filters Current control Adaptation models Noise Noise reduction Adaptive filters Bandwidth filtering algorithms Steady-state Servomotors

来源：评论

学校读者我要写书评

暂无评论

Two-stage CFAR target detection method based on weighted fusion filtering

Two-stage CFAR target detection method based on weighted fus...

引用

Signal, Information and Data Processing (ICSIDP), IEEE International Conference on

作者： Zhijun Yang Jianxi Yang Xin Xie College of Information Science and Engineering Chongqing Jiaotong University Chongqing China School of Information and Electronic Beijing Institute of Technology Beijing China Radar Technology Research Institute Beijing Institute of Technology Beijing China

ISBN: (数字)9798331515669

ISBN: (纸本)9798331515676

In complex scenes, such as leaf vegetation occlusion and strong reflection from thick branches, the signal-to-noise ratio (SNR) of the target echo signal received by the UAV radar is low, and its synthetic aperture radar (SAR) image shows obvious pseudo-target bright spots, which makes it difficult to detect interesting targets based on the image domain and has a high false alarm rate. To solve the above problems, the prerequisite is to filter the SAR image for preprocessing. However, different filters have inconsistent filtering effects on SAR images in different environments and are not universal. Based on the principle of adaptive weighted fusion filtering, a two-stage constant false alarm rate (TSCFAR) detection method is proposed in this work, which comprehensively utilizes the filtering effects of different filters to remove strong interference clutter from SAR images. By retaining more detailed features, a high probability of target detection is achieved. Finally, the effectiveness of the algorithm is verified using measured data.

关键词： Vegetation mapping Radar detection Object detection filtering algorithms Radar imaging Information filters Radar polarimetry Reflection Synthetic aperture radar Signal to noise ratio

来源：评论

学校读者我要写书评

暂无评论

Salt-Pepper Noise Removal Approach Based on ANN and Directional Mean filtering Algorithm

Salt-Pepper Noise Removal Approach Based on ANN and Directio...

引用

Image Processing, Computer Vision and Machine Learning (ICICML), International Conference on

作者： Tusongjiang Kari Ziwei Zhang Yufeng He Dejin Wang Jing Jia Xiaojing Ma School of Electrical Engineering Xinjiang University Urumqi China Sichuan Energy Internet Research Institute Tsinghua University Chengdu China Ultra High Voltage Branch State Grid Sichuan Electric Power Company Chengdu China YGSOFT INC. Zhuhai China China Qiyuan Engineering Corporation Xi’an China

ISBN: (数字)9798350355413

ISBN: (纸本)9798350355420

To preserve the image details more precisely and fully after image filtering, a directional mean filtering algorithm based on the edge direction of noise points is proposed. Firstly, pepper and salt noise recognizer model based on single hidden layer neural network is established. Afterwards, pepper and salt noise recognizer is trained to detect noise points, respectively. Then, according to the neighborhood pixel value of the noise point, the direction with the smallest pixel difference is regarded as the edge direction. Finally, the pixel value of the noise point is replaced by the average value of the pixel in the edge direction. The experimental results indicates that the filtering effect of the algorithm is superior to other algorithms on low and medium noise concentrations, with a PSNR value up to 82.0dB. While for the high concentration of noise, the PSNR value and consumed computational time are less than 3.2dB and 3.91s, respectively. According to the experimental results, the proposed algorithm provides a better capability of filtering and displaying detailed information of the image, and significant guidance on promoting the construction of the energy Internet and digital grid.

关键词： Salt filtering Image edge detection Noise Energy Internet Artificial neural networks Machine learning filtering algorithms Power grids Power transformers

来源：评论

学校读者我要写书评

暂无评论

Study of Wind Power Fluctuation Based on Simulated Annealing Algorithm and Each filtering Algorithm

Study of Wind Power Fluctuation Based on Simulated Annealing...

引用

IEEE International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)

作者： Zhihui Jiao Chuanshi Cui Zhiyuan Gao Youyao Li Tianyi Zhang Xinjiang University Urumqi China

ISBN: (数字)9798350377033

ISBN: (纸本)9798350377040

This paper investigates the wind power fluctuation problem based on the simulated annealing algorithm and multiple filtering algorithms, aiming to improve the output stability of wind farms and enhance the grid's ability to absorb wind energy. To this end, this paper proposes an energy storage system that makes use of decommissioned power batteries in a gradual manner, and constructs a cooperative scheduling model for wind farms and energy storage systems to optimise charging and discharging operations. Firstly, this paper applies low-pass filtering, Gaussian filtering and sliding average filtering algorithms to process the raw wind power data in order to weaken the noise interference and smooth the power output. Secondly, a simulated annealing algorithm is used to optimally configure the capacity of the energy storage system and finally determine the optimal solution for the rated capacity. The study makes gradual use of retired power batteries, combines multiple filtering algorithms and optimal configurations, systematically solves the problem of wind power fluctuation, and improves the ultimate benefit of wind power grid integration.

关键词： Fluctuations filtering Noise Simulated annealing Wind power generation filtering algorithms Wind farms Power system stability Stability analysis Batteries

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共500页 << < 44 45 46 47 48 49 50 51 52 53 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：