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

37,298 篇 会议
6,227 篇 期刊文献
3 篇 学位论文
1 册 图书

馆藏范围

43,529 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

14,584 篇 工学
- 9,908 篇 电气工程
- 3,758 篇 计算机科学与技术...
- 2,936 篇 信息与通信工程
- 1,601 篇 控制科学与工程
- 1,547 篇 仪器科学与技术
- 894 篇 电子科学与技术（可...
- 763 篇 机械工程
- 693 篇 软件工程
- 391 篇 测绘科学与技术
- 359 篇 航空宇航科学与技...
- 333 篇 生物医学工程（可授...
- 145 篇 交通运输工程
- 89 篇 材料科学与工程（可...
- 87 篇 网络空间安全
- 72 篇 石油与天然气工程
- 49 篇 光学工程
- 49 篇 土木工程
- 48 篇 生物工程
- 47 篇 船舶与海洋工程
2,662 篇 理学
- 1,245 篇 物理学
- 904 篇 系统科学
- 308 篇 数学
- 156 篇 地球物理学
- 55 篇 化学
- 44 篇 生物学
788 篇 医学
- 566 篇 临床医学
- 182 篇 基础医学(可授医学...
397 篇 管理学
- 389 篇 管理科学与工程(可...
73 篇 文学
- 73 篇 新闻传播学
73 篇 农学
- 45 篇 作物学
28 篇 军事学
17 篇 艺术学
16 篇 教育学
2 篇 经济学
2 篇 法学

主题

43,529 篇 signal processin...
8,928 篇 signal processin...
5,927 篇 estimation
5,136 篇 field programmab...
4,684 篇 algorithm design...
4,438 篇 clocks
4,379 篇 ofdm
4,104 篇 modulation
3,955 篇 filtration
3,752 篇 digital signal p...
2,763 篇 hardware
2,446 篇 convergence
1,785 篇 array signal pro...
1,694 篇 feature extracti...
1,643 篇 optimization
1,610 篇 computer archite...
1,593 篇 signal to noise ...
1,517 篇 robustness
1,487 篇 adaptive filters
1,457 篇 vectors

机构

46 篇 school of inform...
44 篇 department of el...
43 篇 national mobile ...
38 篇 department of el...
36 篇 xidian univ natl...
35 篇 information syst...
34 篇 philips research...
31 篇 univ chinese aca...
31 篇 school of electr...
30 篇 beijing inst tec...
29 篇 ibm thomas j. wa...
28 篇 department of el...
27 篇 hendisli&#x011f
27 篇 signal processin...
26 篇 department of el...
26 篇 school of comput...
25 篇 department of si...
25 篇 tsinghua univers...
25 篇 school of inform...
24 篇 institute for in...

作者

40 篇 lei wang
37 篇 wei liu
35 篇 jun wang
32 篇 danilo p. mandic
30 篇 p. pirsch
28 篇 k. egiazarian
27 篇 marc moonen
27 篇 eldar yonina c.
26 篇 li li
23 篇 sharon gannot
23 篇 t. kailath
22 篇 ming li
22 篇 walter kellerman...
22 篇 wei li
22 篇 poor h. vincent
21 篇 yui-lam chan
21 篇 jian wang
21 篇 jean-christophe ...
21 篇 christian jutten
21 篇 kailath t

语言

42,300 篇 英文
993 篇 其他
236 篇 中文

检索条件"主题词=Signal processing algorithms"

共 43529 条记录，以下是4811-4820 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：

A Speech Dataset for Snoring Detection in Sleep Based on Deep Learning

A Speech Dataset for Snoring Detection in Sleep Based on Dee...

引用

Smart World Congress (SWC), IEEE

作者： Xiaobo Zhao Bing Wei Hengyu Wang Jiaqi Shi Jingyu Zou School of Cyberspace Security Hainan University Haikou China

ISBN: (数字)9798331520861

ISBN: (纸本)9798331520878

Obstructive Sleep Apnea Hypopnea Syndrome (OSAHS) is a common sleep disorder that affects the health and quality of life of millions of people worldwide. Traditional methods for diagnosing OSAHS, such as polysomnography (PSG), are widely recognized but have drawbacks such as high cost, operational complexity, and inconvenience to patients. Snoring sound detection methods based on deep learning offer a low-cost and convenient alternative for OSAHS diagnosis. However, these methods often require large amounts of data for training, and the lack of datasets severely hinders the development of snoring recognition. In this study, we aim to construct a comprehensive snoring audio dataset to support research and diagnosis of OSAHS. This dataset includes four categories: non-snoring, normal snoring, abnormal snoring, and breathing sounds. We utilize four signal processing algorithms—Fast Fourier Transform (FFT), Short-Time Fourier Transform (STFT), Continuous Wavelet Transform (CWT), and Mel-Frequency Cepstral Coefficients (MFCC)—to extract features from the audio. These extracted features are then evaluated using 12 state-of-the-art (SOTA) classification models. Experimental results demonstrate that this dataset can achieve high accuracy across most classification models. We believe this dataset can provide valuable reference and support for related research.

关键词： Deep learning Training Accuracy Continuous wavelet transforms signal processing algorithms signal processing Feature extraction Sleep apnea Speech processing Optimization

来源：评论

学校读者我要写书评

暂无评论

A Direct Position Determination Method of Over-the-Horizon Shortwave Emitters Based on 2-Dimensional DOAs

A Direct Position Determination Method of Over-the-Horizon S...

引用

6th International Conference on Intelligent Computing and signal processing (ICSP)

作者： Gaoyuan Yang Jiexin Yin Bin Yang Ding Wang PLA Strategic Support Force Information Engineering University Zhengzhou Henan China

ISBN: (数字)9798350376548

ISBN: (纸本)9798350376555

This paper investigates the method of Direct Position Determination (DPD) using the Direction of Arrival (DOA) information of Over-the-horizon (OTH) shortwave signals in 3D scenes. We first establish the positioning model of the shortwave signal under the ionospheric virtual height model. Then a DPD method is proposed using 2-dimensional DOAs based on maximum likelihood (ML), which directly locate the emitter in a single step by exploiting the position information embedded in azimuth angles and elevation angles. We use the Monte Carlo method to validate the performance of the proposed algorithm in terms of localization root mean square errors (RMSE). We compare the proposed algorithm with the conventional two-step positioning algorithm as well as Cramer-Rao Bound (CRB). Simulation results verify the superior performance of the proposed algorithm.

关键词： Location awareness Solid modeling Accuracy Direction-of-arrival estimation Three-dimensional displays Time difference of arrival Simulation signal processing algorithms signal processing Root mean square

来源：评论

学校读者我要写书评

暂无评论

Machine Learning Aided Prediction of Pulse Condition in Traditional Chinese Medicine

Machine Learning Aided Prediction of Pulse Condition in Trad...

引用

6th International Conference on Intelligent Computing and signal processing (ICSP)

作者： Ziwei Tian Yunfang Jia College of Electronic Information and Optical Engineering Nankai University Tianjin China

ISBN: (数字)9798350376548

ISBN: (纸本)9798350376555

The human body's pulse waveform signals can indicate the overall health state, and the reliability of pulse diagnosis in Traditional Chinese Medicine (TCM) has been well-accepted. With the enhancing healthy consciousness, an intelligent pulse diagnosis is urgently needed in the field of “Big Health”. Herein, a study about prediction of pulse conditions in TCM is conducted by using 8 machine learning (ML) methods, including Gradient Boosting Decision Tree (GBDT), K Nearest Neighbors (KNN), Support Vector Machine (SVM) and so on. Meanwhile, the parameters in 8 ML methods are optimized by Cuckoo Search (CS) and Grid Search, thus there are 16 combinations of algorithms. By these methods, the models for predicting pulse conditions in the signals collected by our self-made wearable pulse detection device are carefully investigated and evaluated. It is found the best over-all performance is obtained by CS-GBDT model, which is demonstrated by the lowest mean squared error (MSE), mean absolute error (MAE), and the highest coefficient of determination (R).

关键词： Support vector machines signal processing algorithms signal processing Prediction algorithms Boosting Stability analysis Decision trees Reliability Medical diagnostic imaging Thermal stability

来源：评论

学校读者我要写书评

暂无评论

DBCTfuse: A Dual-Branch CNN-Transformer feature extraction network for Infrared and Visible Image Fusion

DBCTfuse: A Dual-Branch CNN-Transformer feature extraction n...

引用

International Conference on signal processing Proceedings (ICSP)

作者： Yujing Li Xiaole Ma Xiaoxuan Chen Shaohai Hu School of Computer Science and Technology Beijing Jiaotong University Beijing China

ISBN: (数字)9798350387384

ISBN: (纸本)9798350387391

The process of fusing infrared and visible images necessitates integrating thermal radiation information from infrared image with the edge and texture detail captured by visible images. Most current fusion methods are based on convolutional neural networks, which can effectively extract local features from source images but are somewhat lacking in global features. To address this, we propose a dual-branch feature extraction fusion network based on convolutional neural network and Transformer—DBCTfuse, to effectively synthesize both local details and global contextual information from source images. Comprehensive experiments conclusively demonstrate the superiority of our DBCTfuse method in infrared and visible image fusion, surpassing contemporary state-of-the-art algorithms in both qualitative and quantitative assessments.

关键词： Measurement Visualization Image edge detection signal processing algorithms signal processing Feature extraction Transformers Convolutional neural networks Image fusion Image reconstruction

来源：评论

学校读者我要写书评

暂无评论

Unveiling Ion Channel Dynamics

Unveiling Ion Channel Dynamics

引用

signal processing, Computation, Electronics, Power and Telecommunication (IConSCEPT), International Conference on

作者： Mulli Likhith Reddy V.J. Renuka Talasila Balaji P. Md. Kalesha Masthan Sirigineedi Dinesh R. Ishwariya Dept of Computer Science and Engineering Amrita school of computing Amrita Vishwa Vidyapeetham Chennai India Dept of Science and Humanities Amrita school of Engineering Amrita Vishwa Vidyapeetham Chennai India

ISBN: (数字)9798331540685

ISBN: (纸本)9798331540692

This paper explains how faults or anomalies might be indicated by changes in the initial condition of tissues, particularly the flow of potassium and sodium ions with leaks. Convolutional Neural Networks (CNNs) are becoming more and more capable of being used, even if these mistakes have been found in tissue systems. CNNs are trained to identify patterns in data, much like digital analysts. By providing information regarding both typical and exceptional motor function, we hope to help peo-ple comprehend that things aren't always correct. Our research examines how CNN s can be used to forecast changes in ion channel function, which could indicate important problems with neural properties. With this approach, we want to increase our capacity to detect and treat arthritis early on. By in-tegrating CNN s into fault detection algorithms, we want to pave the way for more ecologically friendly neural diagnostic and therapeutic approaches.

关键词： Training Computational modeling Sodium Biological system modeling signal processing algorithms Ions Data models

来源：评论

学校读者我要写书评

暂无评论

Advancements in Wireless Networks: Transition from 5G to Beyond

Advancements in Wireless Networks: Transition from 5G to Bey...

引用

Emerging Research in Computational Science (ICERCS), International Conference on

作者： Gunasekaran Thangavel C. Malarvizhi M. Ameena Banu Arun Anthonisamy M. Hemalatha Raja Manikandan Department of Electronics and Communication Engineering University of Technology and Applied Sciences Muscat Sultanate of Oman Department of Electronics and Communication Engineering Rajalakshmi Institute of Technology Chembarambakkam India Department of Electronics and Communication Engineering NPR College of Engineering and Technology Natham India Department of Computer Science and Business System Panimalar Engineering College Chennai Tamil Nadu India Department of Information Technology Nandha Arts and Science College Erode Tamil Nadu India Department of ECE K. Ramakrishnan College of Technology Trichy Tamil Nadu India

ISBN: (数字)9798331534967

ISBN: (纸本)9798331534974

Earlier generations of mobile technology experienced exponential growth in mobile customers, disruptive ecosystems like Internet of Things applications, and massive channel capacity needed to connect trillions of devices. 5G networks are a vital solution. 5G aims to provide 10 Gbps to a single user, as well as quality of service, increased spectrum efficiency, ultra-reliable communication, extended device battery life, massive machine-type communication (mMTC), and a 1000-fold capacity gain. Due to the heavy traffic volume and high resource consumption of 5G applications like augmented reality (AR), virtual reality (VR), and wireless body area networks, there are major barriers to channel capacity and potential service disruptions for other users. New strategies are needed to increase spectral efficiency and channel capacity. This paper explores many major new wireless technologies that aim to increase spectral efficiency and channel capacity to meet growing user demands and improve network performance. This paper also examines these technologies’ benefits and research challenges. Massive Multi-Input Multi-Output (mMIMO) technology’s effectiveness and potential distinguish it for 5G and Beyond 5G (B5G) networks, offering a variety of benefits and characteristics. This article can also assist researchers who are conducting in-depth studies, as well as wireless network operators who aim to streamline the development of 5G and B5G networks.

关键词： Technological innovation 5G mobile communication Channel capacity Spectral efficiency Array signal processing Wireless networks signal processing algorithms Throughput Millimeter wave communication Ultra-dense networks

来源：评论

学校读者我要写书评

暂无评论

VLSI Architecture for the Phase Unwrapping Module in Contactless Vibration Sensing for Biomedical Applications

VLSI Architecture for the Phase Unwrapping Module in Contact...

引用

IEEE International Symposium on Smart Electronic Systems (iSES)

作者： Mujeev Khan Ashi Singhal Mohd Wajid Abhishek Srivastava Department of Electronics Engineering Aligarh Muslim University Aligarh India Centre for VLSI and Embedded Systems Technology IIIT Hyderabad Hyderabad India

ISBN: (数字)9798331533229

ISBN: (纸本)9798331533236

Phase-unwrapping (PU) is a critical signal processing step used in fields such as radar, sonar, and laser technology. This paper presents a faster and more efficient VLSI architecture for implementing the phase-unwrapping algorithm on FPGA platforms. To evaluate the effectiveness of the proposed FPGA-based VLSI architecture for the phase-unwrapping algorithm in chest wall vibration sensing, we compared its performance with both a PYNQ board implementation and an equivalent software solution. The results are compared in terms of speed, resource utilization, and power consumption. Additionally, prototypes were developed on both the ZedBoard and PYNQ board, and the outcomes were physically verified. The proposed VLSI architecture achieves nearly 70 x and 111 x speed-up compared to software-based solutions and PYNQ board implementations, respectively.

关键词： Vibrations Power demand Laser radar Software algorithms signal processing algorithms Computer architecture Very large scale integration Software Sensors Field programmable gate arrays

来源：评论

学校读者我要写书评

暂无评论

A Multi Target Tracking Algorithm Based on Acoustic Feature Correlation

A Multi Target Tracking Algorithm Based on Acoustic Feature ...

引用

IEEE International Conference on Information Communication and signal processing (ICICSP)

作者： Xueli Sheng Yan Wang Bingyu Shi Yichuan Zhu Linna Wan National Key Laboratory of Underwater Acoustic Technology Harbin Engineering University Key Laboratory for Polar Acoustics and Application of Ministry of Education(Harbin Engineering University) Ministry of Education College of Underwater Acoustic Engineering Harbin Engineering University Harbin China

ISBN: (数字)9798350355895

ISBN: (纸本)9798350355901

This paper proposes a joint probability data association based on acoustic feature correlation (JPDA-AF) to address the issue of poor target tracking stability caused by low acoustic positioning accuracy. This algorithm utilizes the correlation information between the measured values and the acoustic characteristics of the tracked target, sets up dual gate detection, and weights the joint probability density of JPDA. The simulation analysis and experimental data processing results show that this method can effectively improve the stability of target tracking, enhance the integrity of tracking trajectory, reduce the number of false targets, and estimate the number of targets more accurately.

关键词： Target tracking Correlation Accuracy signal processing algorithms Acoustic measurements Acoustics Stability analysis Frequency measurement Trajectory Numerical stability

来源：评论

学校读者我要写书评

暂无评论

Network Provisioning in SDN: Optimizing Network Resources for Enhanced Performance

Network Provisioning in SDN: Optimizing Network Resources fo...

引用

International Conference on Wireless Communications, signal processing and Networking (WiSPNET)

作者： G D Nithin D Yathis Kumar S. Nithin K S Sree Hari Nathan R Gandhiraj Department of Electronics and Communication Engineering Amrita School of Engineering Coimbatore India

ISBN: (数字)9798350350845

ISBN: (纸本)9798350350852

Software defined Networking (SDN) provides a comprehensive view of the network and is good at handling changes in a traditional and simple network without needing a lot of updates. The purpose of this study was to determine the performance of SDN in various scenarios. However, the usual SDN architecture faced problems in handling bottlenecks. In our early research, we referred a lot of research papers for creating a model for a regular wired network with less nodes and traffic using standard SDN architecture. We developed the model using NetSim and observed the various network parameters such as overall throughput, delay and jitter. The recorded throughput exhibited a decrease, accompanied by increased delay and jitter, when assessing this basic network configuration. Later, we propose a new model with improved SDN performance, which resembles a normal wireless IoT network in real-time. The proposed model contains a novel priority and congestion control mechanism, called as ‘Updated SDN’, which has worked well in reducing network congestion especially in practical situations. It also maintains network's quality of service. The model provided results which had a significant improvement of 2% from the previous model. In Overall, our model looks at network delays and congestion at the SDN controller and delivers the packet properly with minimized loss. The results were analyzed by comparing the results of updated SDN and the standard SDN.

关键词： Wireless communication Performance evaluation signal processing algorithms Computer architecture Jitter Throughput Delays

来源：评论

学校读者我要写书评

暂无评论

TGD: Topology-Enhanced Framework for Graph Drawing

TGD: Topology-Enhanced Framework for Graph Drawing

引用

International Congress on Image and signal processing, BioMedical Engineering and Informatics (CISP-BMEI)

作者： Peidong Chen Qingming Zhang Desen Yang Jian Gou School of Computer Science and Technology Southwest University of Science and Technology Mianyang China

ISBN: (数字)9798331507398

ISBN: (纸本)9798331507404

Topological structure refers to the geometric properties of an object that remain invariant under continuous transformations. In the task of graph drawing, accurately capturing topological structures ensures that the layout of the graph aligns more closely with its inherent characteristics and relationships, thereby generating aesthetically pleasing layouts. Previous work has demonstrated that by optimizing models using graph topology-related loss functions, it is possible to learn sequences of operations that translate a graph into a layout. To further explore the model's ability to capture graph topological information, the enhanced topological representation framework for graph drawing, called TGD, is proposed in this paper. This framework employs Structural Deep Network Embedding (SDNE) with in-degree centrality encoding and spatial encoding during the graph preprocessing stage to enrich node embedding features, thereby enhancing the topological representation of the graph. By jointly optimizing multiple topology-related loss functions, the framework reduces the noise sensitivity of individual loss functions, allowing the model to better learn graph structure information and balance the overall layout optimization. Upon completion of the model training, it can quickly draw the input graph and achieve good visual representations. Experimental results show that TGD performs excellently in various graph layout tasks and has advantages over existing layout algorithms.

关键词： Training Visualization Biological system modeling Layout Urban areas signal processing algorithms Graph drawing Encoding Topology Optimization

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 << < 478 479 480 481 482 483 484 485 486 487 > >>

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：