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

9,169 篇 会议
1,179 篇 期刊文献
1 篇 学位论文

馆藏范围

10,349 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

2,347 篇 工学
- 1,393 篇 电气工程
- 750 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
387 篇 理学
- 188 篇 物理学
- 112 篇 系统科学
- 33 篇 地球物理学
- 30 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

10,349 篇 filtering algori...
1,683 篇 adaptive filters
1,085 篇 signal processin...
956 篇 algorithm design...
888 篇 information filt...
859 篇 filtering
768 篇 kalman filters
649 篇 convergence
517 篇 least squares ap...
517 篇 target tracking
481 篇 noise
463 篇 nonlinear filter...
452 篇 noise reduction
447 篇 noise measuremen...
438 篇 feature extracti...
425 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

10,174 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 10349 条记录，以下是501-510 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：

Research on Image Defogging Algorithm Combining Homomorphic filtering and Retinex

Research on Image Defogging Algorithm Combining Homomorphic ...

引用

Computer Technology and Information Science (ISCTIS), International Symposium on

作者： Wanni Liu Jinghan Zhang School of Information Engineering Xi'an Eurasia University Xi'an China

ISBN: (数字)9798350354560

ISBN: (纸本)9798350354577

Aiming at the disadvantages of the traditional Retinex algorithm, such as poor adaptive ability and easy to produce halos when processing images with uneven illumination, an improved homomorphic filter and multi-scale Retinex algorithm is proposed in this paper. Firstly, Sigmoid function is used to construct a single parameter homomorphic filter function, which can ensure the filtering effect and reduce the adjustment parameters. The region with large brightness difference in the image is filtered to different degrees. After the improved homomorphic filter correction, the image is enhanced by multi-scale Retinex algorithm. The experimental results show that the improved algorithm can effectively correct the illumination of foggy image, keep the original information of image without loss, enhance the contrast of low-illumination image, and make the processed image more visible.

关键词： Information science Brightness Lighting Transfer functions filtering algorithms Information filters

来源：评论

学校读者我要写书评

暂无评论

Reflection compensation and binary thresholding using the Homomorphic filtering approach for composite manufacturing

Reflection compensation and binary thresholding using the Ho...

引用

Recent Advances in Science and Engineering Technology (ICRASET), International Conference on

作者： M G Ravi Kumar Mrinal Sarvagya Sunil Thimmaiah N Manjesh Annapooorna Channigavi N A Vinay Dept of Electronics & Communication Nagarjuna College of Engineering & Technology Bengaluru India School of Electronics & Communication Engineering REVA University Bengaluru India Dept of Electronics & Communication SJC Institute of Technology Chickballapur India Dept of Electronics & Communication Dayanda Sagar College of Engineering Bengaluru India

ISBN: (数字)9798350388602

ISBN: (纸本)9798350388619

The global aerospace manufacturing industry is witnessing a major paradigm shift in design and material choice from metals to composites such as Carbon Fiber Reinforcement Plastics (CFRP) in civil and military aircraft structure design. In prepreg-based composite fabrication, multiple sheets of prepreg material are manually laid in the desired orientation on a mold. The layout process is subjected to 100 percent ply-by-ply manual visual inspection for detecting inclusion which can arise when the protective films are missed to get removed or due to the tackiness of the prepregs layers, other materials used in the process get included between layers. Manual inspection during layup is skill-based. The black and reflective nature of the surface makes it difficult to detect the inclusions efficiently. Thus, there exists a need for an automated or semi-automated system that can aid the inspector in detecting and identifying inclusions during fabrication. This paper inculcates the preliminary work carried out towards developing a methodology to identify the inclusions using image processing algorithms. One of the challenges to using the images is the reflection from the layers. A homomorphic filtering-based approach was developed to reduce the effects of reflection and binary thresholding to detect the inclusion regions. The developed methodology was validated through experimental results. It is found that Homomorphic filtering-based reflection compensation and binary thresholding can distinguish the inclusion regions, which can be used by the inspector in the clean room environment.

关键词： Fabrication Visualization Thresholding (Imaging) filtering Films Inspection filtering algorithms Reflection Plastics Surface treatment

来源：评论

学校读者我要写书评

暂无评论

Kernel Adaptive filtering with Weibull M-transform Maximum Versoria Criterion

Kernel Adaptive Filtering with Weibull M-transform Maximum V...

引用

IEEE International Conference on Electronic Information and Communication Technology (ICEICT)

作者： Chenchong Bi Yingsong Li Liping Li Nikola Zlatanov Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University China Faculty of Computer and Engineering Sciences Innopolis University Innopolis Russia

ISBN: (数字)9798350384437

ISBN: (纸本)9798350384444

A kernel Weibull M-transform maximum-versoria-criterion (KWMMVC) algorithm is constructed, which is to use for nonlinear system identification. The KWMMVC algorithm ingeniously integrates the Weibull M-transform scheme into the maximum-versoria-criterion to formulate a novel cost function. The ability of KWMMVC algorithm to identify nonlinear channels under various impulse noise environments is tested in the kernel adaptive filters, and the results proved its superior performance.

关键词： Adaptive systems Noise Adaptive filters filtering algorithms Information filters Cost function Information and communication technology

来源：评论

学校读者我要写书评

暂无评论

Gaussian Mixture-Based Point Mass filtering

Gaussian Mixture-Based Point Mass Filtering

引用

International Conference on Information Fusion

作者： Felipe Giraldo-Grueso Andrey A. Popov Renato Zanetti Dept. of Aerospace Engineering and Engineering Mechanics The University of Texas at Austin Austin TX USA Oden Institute for Computational Engineering and Sciences The University of Texas at Austin Austin TX USA

ISBN: (数字)9781737749769

ISBN: (纸本)9798350371420

The accuracy of the point mass filter (PMF) relies on the precise placement of grid points. Since the approximated probability distributions are evaluated only at these points, suboptimal choices in grid placement can result in an inaccurate representation of the posterior distribution. This work addresses this issue by representing the propagated grid points as a Gaussian mixture, enabling a Gaussian sum filter (GSF) update before grid construction. The use of the GSF update enhances the accuracy of the mean and covariance estimates, from which a new grid can be constructed. This approach leads to improved grid placement and reduces the number of points required to achieve satisfactory results. A comparative analysis is conducted between this new approach, the traditional PMF, and a PMF variant that uses an unscented Kalman filter update before grid construction. Using a simple bivariate example, the new variant is shown to approximate the posterior distribution better than the other filters. Furthermore, the new approach is evaluated in two sequential filtering problems: the first involves the Ikeda map, and the second focuses on terrain-relative navigation for Martian exploration. The results show a more accurate, and more consistent filter compared to the other two PMF variants considered.

关键词： Accuracy Navigation filtering algorithms Prediction algorithms Information filters Approximation algorithms Probability distribution Kalman filters Kernel Standards

来源：评论

学校读者我要写书评

暂无评论

Improving Process Discovery Results by filtering Out Outliers from Event Logs with Hidden Markov Models 23

Improving Process Discovery Results by Filtering Out Outlier...

引用

IEEE 23rd Conference on Business Informatics (CBI)

作者： Zhang, Zhenyu Hildebrant, Ryan Asgarinejad, Fatemeh Venkatasubramanian, Nalini Ren, Shangping San Diego State Univ Dept Comp Sci San Diego CA 92182 USA Univ Calif Irvine Dept Comp Sci Irvine CA 92697 USA

ISBN: (纸本)9781665420693

Process Mining is a technique for extracting process models from event logs. Event logs contain abundant explicit information related to events, such as the timestamp and the actions that trigger the event. Much of the existing process mining research has focused on discovering the process models behind these event logs. However, Process Mining relies on the assumption that these event logs contain accurate representations of an ideal set of processes. These ideal sets of processes imply that the information contained within the log represents what is really happening in a given environment. However, many of these event logs might contain noisy, infrequent, missing, or false process information that are generally classified as outliers. Extending beyond process discovery, there are many research efforts towards cleaning the event logs to deal with these outliers. In this paper, we present an approach that uses hidden Markov models to filter out outliers from event logs prior to applying any process discovery algorithms. Our proposed filtering approach can detect outlier behavior, and consequently, help process discovery algorithms return models that better reflect the real processes within an organization. Furthermore, we show that this filtering method outperforms two commonly used filtering approaches, namely the Matrix Filter approach and the Anomaly Free Automation approach for both artificial event logs and real-life event logs.

关键词： Automation Conferences Hidden Markov models Organizations filtering algorithms Information filters Cleaning

来源：评论

学校读者我要写书评

暂无评论

Utilizing Various filtering Methodologies in Digital Image Processing

Utilizing Various Filtering Methodologies in Digital Image P...

引用

Electrical Electronics and Computing Technologies (ICEECT), International Conference on

作者： Harshdeep Singh Sarabpreet Kaur Preeti Sharma Institute of Engineering & Technology Punjab Chitkara University Punjab India Chandigarh Engineering College CGC Punjab India

ISBN: (数字)9798350378092

ISBN: (纸本)9798350378108

The development of efficient noise reduction techniques is imperative to maintain the quality and features of digital images, as they are essential in numerous key applications. Specifically, noise from salt and pepper can severely deteriorate the quality of digital images; the impact varies depending on the size and noise ratio of the image. The problem of image smoothing with edge preservation using Gaussian, mean, and median filters is addressed in this suggested work. For applications including computer vision, surveillance, and medical imaging, it seeks to preserve image structure while lowering noise. The results show that the Mean, Median, and Gaussian filters may be effectively compared for different smoothing applications, as indicated by the desirable peak signal to noise ratios (PSNR).

关键词： Salt Filters Smoothing methods PSNR Image edge detection Digital images Noise Noise reduction Adaptive filters filtering algorithms

来源：评论

学校读者我要写书评

暂无评论

Design of $\alpha-\beta$ Digital filtering Algorithm for Foreign Object Detection in Wireless Charging System of Electric Vehicles

Design of $\alpha-\beta$ Digital Filtering Algorithm for For...

引用

International Conference on Power Electronics Systems and Applications (ICPESA)

作者： Jing Xiao Shaonan Chen Rui Ding Yuhong Mo Xiaorui Wu Wireless Power Transmission Joint Laboratory Southern Power Grid Corporation Electric Power Research Institute of Guangxi Power Grid Co. Ltd Nanning China College of Automation Chongqing University Chongqing China

ISBN: (数字)9798350365801

ISBN: (纸本)9798350365818

Currently, the detection of foreign objects in wireless charging of electric vehicles is usually carried out using auxiliary detection coils. However, the signals collected from the auxiliary detection coils under strong power fields after starting wireless charging have significant interference, and it is difficult to effectively restrain interference using hardware filtering. In this paper, a method based on α-β digital filtering is proposed to filter the amplitude and phase signals of foreign object detection under strong power magnetic field, so as to reduce signal interference and improve the reliability of foreign object detection. In this paper, a $\alpha-\beta$ digital filtering algorithm is designed and simulated, and compared with some common digital filtering algorithms, the results show that the AB digital filtering algorithm is better.

关键词： Coils filtering Inductive charging Interference Object detection filtering algorithms Electric vehicles

来源：评论

学校读者我要写书评

暂无评论

Distributed Divided Difference filtering Based on Covariance Intersection over Sensor Network

Distributed Divided Difference Filtering Based on Covariance...

引用

Youth Academic Annual Conference of Chinese Association of Automation (YAC)

作者： Pengfei Yang Xi Liu School of Systems Science and Engineering Sun Yat-sen University Guangzhou China

ISBN: (数字)9798350379228

ISBN: (纸本)9798350390780

This paper explores the distributed state estimation (DSE) for the nonlinear systems over a sensor network. Divided difference filtering (DDF) is one of the well-known sigma-point Kalman filtering algorithms, which can be categorized into the first-order divided difference (DD1) filter and the second-order divided difference (DD2) filter. Compared with the extended Kalman filter (EKF), DDF possesses numerous advantages. However, a corresponding distributed filtering algorithm has yet to be developed. Therefore, this paper combines the covariance intersection (CI) fusion algorithm and DDF to propose two distributed DDF type consensus algorithms, called the covariance intersection-based first-order divided difference (CI-DD1) filter and the covariance intersection-based second-order divided difference (CI-DD2) filter, which retain the advantages of distributed filters and the DDF. The effectiveness of the two proposed algorithms is demonstrated via a typical air traffic control scenario.

关键词： Target tracking Automation filtering Simulation Consensus algorithm filtering algorithms Kalman filters

来源：评论

学校读者我要写书评

暂无评论

Analysis of Improved Algorithm for Digital filtering in Micro controller System

Analysis of Improved Algorithm for Digital Filtering in Micr...

引用

Information Technology, Electronics and Intelligent Communication Systems (ICITEICS), IEEE International Conference on

作者： Jian Yang Sichuan University Jinjiang College Sichuan Province China

ISBN: (数字)9798350382693

ISBN: (纸本)9798350382709

In order to solve the challenge of improved algorithm analysis of digital filtering in single-chip microcomputer system, in view of the shortcomings of the existing clustering analysis algorithms, an improved algorithm analysis method based on D-P algorithm based on D-P algorithm is introduced. This new scheme uses the principle of overlapping sub-problem theory to accurately identify and locate the key influencing factors, and accordingly carries out a wise classification of indicators to reduce possible interference. At the same time, using the unique mechanism of the D-P algorithm, the proposed scheme cleverly constructs an improved design strategy for digital filtering. The empirical results show that the proposed scheme shows a significant improvement compisd with the traditional clustering analysis algorithm in terms of the accuracy of the analysis of the improved algorithm of digital filtering, the processing efficiency of key factors and other key performance indicators, showing its obvious strong advantages. In the MCU system, the improved algorithm analysis of digital filtering plays a vital role, which can accurately predict and optimize the growth trend and output results of the improved algorithm analysis of the digital filtering of the MCU system. However, in the face of complex simulation tasks, traditional clustering algorithms show some inherent shortcomings, especially when dealing with multi-level challenges, their performance is often unsatisfactory. To overcome this problem, this study introduces a new idea of improved algorithm analysis of digital filtering optimized by D-P algorithm, and accurately controls the influencing parameters through the overlapping sub-problem theory, which is used as the road map for index allocation, and then uses the D-P algorithm to innovate and construct a system scheme. The test results clearly point out that in the context of the evaluation criteria, the new scheme has been significantly optimized in terms of a

关键词： Accuracy filtering Key performance indicator Clustering algorithms Microcomputers filtering algorithms Prediction algorithms

来源：评论

学校读者我要写书评

暂无评论

Improved Kalman filtering Algorithm Based Multi-Sensor Integration for Silicon Single Crystal Growth Process

Improved Kalman Filtering Algorithm Based Multi-Sensor Integ...

引用

International Symposium on Autonomous Systems (ISAS)

作者： Ruidong Xie Pei Zhu Wenle Ma Zheqi Zhang Yingmin Yi Zheng Guo Key Lab of Manufacturing Equipment of Shaanxi Province Xi’an University of Technology Xi’an China Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi’an University of Technology Xi’an China

ISBN: (数字)9798350363173

ISBN: (纸本)9798350363180

The study primarily delves into addressing the data filtering challenge inherent in the silicon single crystal growth process by proposing a multi-sensor integrated detection approach. This approach is designed to alleviate the diminished filtering accuracy resulting from the reliance on a single sensor and the conventional Kalman filtering algorithm. By utilizing an enhanced adaptive Kalman filtering algorithm and the maximum likelihood estimation criterion to incorporate the innovation variance directly into the gain calculation of the Kalman filter, dynamic adjustment of the estimation model is achieved while interference from system noise and measurement noise is reduced. Finally, simulation-based comparative experiments between the adaptive and conventional Kalman filtering algorithms are performed. The results show that the performance of the adaptive Kalman filtering algorithm is superior to that of the conventional Kalman filtering algorithm in terms of accuracy and stability when detecting signals from multiple sensors. The research findings furnish dependable data support for refining the decision-making process in crystal growth technology, augmenting the precision and scientific integrity of crystal safety production scheduling and decision-making endeavors.

关键词： Crystal growth filtering Noise Decision making Crystals Production filtering algorithms

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 << < 47 48 49 50 51 52 53 54 55 56 > >>

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：