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

1,234 篇 会议
19 篇 期刊文献

馆藏范围

1,253 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

768 篇 工学
- 483 篇 计算机科学与技术...
- 360 篇 电子科学与技术（可...
- 342 篇 电气工程
- 308 篇 软件工程
- 245 篇 信息与通信工程
- 106 篇 控制科学与工程
- 57 篇 光学工程
- 50 篇 生物医学工程（可授...
- 45 篇 仪器科学与技术
- 43 篇 机械工程
- 35 篇 生物工程
- 31 篇 动力工程及工程热...
- 28 篇 化学工程与技术
- 20 篇 材料科学与工程（可...
- 12 篇 力学（可授工学、理...
- 12 篇 土木工程
- 11 篇 石油与天然气工程
328 篇 理学
- 204 篇 数学
- 149 篇 物理学
- 41 篇 统计学（可授理学、...
- 35 篇 生物学
- 29 篇 化学
- 11 篇 系统科学
115 篇 医学
- 109 篇 临床医学
- 28 篇 基础医学(可授医学...
- 21 篇 药学(可授医学、理...
76 篇 管理学
- 47 篇 管理科学与工程(可...
- 28 篇 图书情报与档案管...
- 27 篇 工商管理
12 篇 法学
11 篇 经济学
- 11 篇 应用经济学
5 篇 教育学
5 篇 文学
5 篇 农学
1 篇 军事学

主题

83 篇 analog-digital c...
54 篇 signal processin...
51 篇 digital signal p...
47 篇 voltage
35 篇 hardware
33 篇 switches
32 篇 bandwidth
32 篇 clocks
31 篇 sampling methods
30 篇 pulse width modu...
29 篇 digital filters
29 篇 frequency
27 篇 circuits
26 篇 cmos integrated ...
26 篇 analog circuits
26 篇 control systems
26 篇 voltage control
23 篇 costs
22 篇 capacitors
22 篇 cmos technology

机构

36 篇 ieee
9 篇 department of el...
7 篇 department of el...
7 篇 school of comput...
5 篇 division of elec...
5 篇 institute of cir...
5 篇 school of electr...
4 篇 department of el...
4 篇 department of el...
4 篇 department of el...
4 篇 department of el...
4 篇 school of electr...
4 篇 school of electr...
4 篇 design technolog...
4 篇 department of el...
3 篇 peter the great ...
3 篇 department of el...
3 篇 national key lab...
3 篇 department of el...
3 篇 department of el...

作者

8 篇 anon
6 篇 lin bor-ren
6 篇 hussain zahir m.
5 篇 paramesran ravee...
5 篇 jiang gangyi
4 篇 kim yong-deak
4 篇 choi tae-young
4 篇 harris richard j...
4 篇 maskell douglas ...
4 篇 cajote rhandley ...
4 篇 tsay ming-tong
3 篇 yang kai-tsang
3 篇 wikner j. jacob
3 篇 hizon john richa...
3 篇 a.z. sha'ameri
3 篇 prakash edmond c...
3 篇 r. fontaine
3 篇 teng jen-hao
3 篇 ranganath s.
3 篇 jha rajib kumar

语言

1,228 篇 英文
12 篇 其他
12 篇 中文
1 篇 西班牙文

检索条件"任意字段=IEEE Region 10 Conference on Analog and Digital Techniques in Electrical Engineering"

共 1253 条记录，以下是1-10 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：

ieee TENCON 2004 - 2004 ieee region 10 conference Proceedings: analog and digital techniques in electrical engineering - Volume B

IEEE TENCON 2004 - 2004 IEEE Region 10 Conference Proceeding...

引用

ieee TENCON 2004 - 2004 ieee region 10 conference: analog and digital techniques in electrical engineering

The proceedings contain 177 papers from ieee TENCON 2004 - 2004 ieee region 10 conference Proceedings: analog ad digital Technioques in electrical engineering - Volume B. The topics discussed include: cost-balance overlay multicast routing using dynamic estimation;on analysis and evaluation of DIN-based communication;inductive temporal formula specifications;IPMP technology for digital broadcasting contents;efficient key frames extraction based on hierarchical clustering;synthesising a front-pose face image;embedding data in images using wavelet packets;a classification rule mining method using hybrid genetic algorithms;and intelligent tutoring and knowledge base creation for the subject of computer programming.

关键词： analog to digital conversion

来源：评论

学校读者我要写书评

暂无评论

ieee TENCON 2004 - 2004 ieee region 10 conference Proceedings: analog and digital techniques in electrical engineering-Volume D

IEEE TENCON 2004 - 2004 IEEE Region 10 Conference Proceeding...

引用

ieee TENCON 2004 - 2004 ieee region 10 conference: analog and digital techniques in electrical engineering

The proceedings contain 173 papers from the ieee TENCON 2004 - 2004 ieee region 10 conference Proceedings: analog and digital techniques in electrical engineering - Volume D. The topics discussed include: new variable-reluctance resolver for rotor-position sensing;dual-output DC-DC power supply without transformer;single-phase converter with flying capacitor topology;control of high performance DC-AC inverters using iterative learning control;control of shallow P-N junctions with low-power focused ion beam;error analyses of a 3-phase electricity meter with class-0.5 accuracy;analysis of UPS system reliability based on Monte Carlo approach;self-testable full range window comparator;and hybrid algorithm for bisection circuit partitioning.

关键词： electrical engineering

来源：评论

学校读者我要写书评

暂无评论

ieee TENCON 2004 - 2004 ieee region 10 conference Proceedings: analog and digital techniques in electrical engineering - Volume C

IEEE TENCON 2004 - 2004 IEEE Region 10 Conference Proceeding...

引用

ieee TENCON 2004 - 2004 ieee region 10 conference: analog and digital techniques in electrical engineering

The proceedings contain 162 papers from ieee TENCON 2004 - 2004 ieee region 10 conference Proceedings: analog ad digital techniques in electrical engineering - Volume C. The topics discussed include: CSSMA/AI protocol for data services in CDMA packet radio networks;speed scheduling of fixed-priority delay-sensitive jobs;real-time measurement of local QQS states;security methods for web-based applications on embedded system;ASE feedback gain-clamping of C-band EDFA;VLSI architecture for Rayleigh and Rician fading generators;parameterized assembling model of communication service;spectrum management standard for Dsl systems;VSC-HVDC for improvement of quality of power supply;and implementation of UPFC model into fast decoupled load flow.

关键词： electrical engineering

来源：评论

学校读者我要写书评

暂无评论

ieee TENCON 2004 - 2004 ieee region 10 conference Proceedings: analog and digital techniques in electrical engineering - Volume A

IEEE TENCON 2004 - 2004 IEEE Region 10 Conference Proceeding...

引用

ieee TENCON 2004 - 2004 ieee region 10 conference: analog and digital techniques in electrical engineering

The proceedings contain 174 papers from ieee TENCON 2004 - 2004 ieee region 10 conference Proceedings: analog and digital techniques in electrical engineering - Volume A. Topics discussed include: implementation, analysis and performance evaluation of the IRP-Cache replacement policy;high speed signal sampler by multiple-path algorithm;on audio hands-free system design;multipath delay estimation for acoustic echo channel;detection of anatomical features in retinal images using a gradient orientation;edge detection in ultrasonic images using Gabor filters;an efficient method for segmentation step of automated white blood cell classifications;time-frequency analysis of heart rate time series;and role of wavelet transforms in image restoration.

关键词： Acoustics

来源：评论

学校读者我要写书评

暂无评论

Modulation Recognition Based on Convolutional Neural Network and Image Coding techniques

Modulation Recognition Based on Convolutional Neural Network...

引用

2024 International conference Optoelectronic Information and Optical engineering, OIOE 2024

作者： Hong, Hengyi Wang, Qian Cao, Zihan Li, Runjia Harbin Engineering University Harbin China

ISBN: (数字)9781510688209

ISBN: (纸本)9781510688193

In order to improve the accuracy and generalization ability of modulated pattern recognition, a modulation recognition method based on Gramian Angular Field(GAF) coding technique and convolutional neural network(CNN) is proposed. The homogeneous and quadrature components(IQ components) of the modulated signal are losslessly encoded into a 3D image using GAF, which preserves the time-series features of the signal and enhances the time-series correlation features. CNN is used to extract the features of 3D images, avoiding the tedious steps of manual feature extraction. Simulation experiments using seven different modulated signals, such as BPSK, GFSK, FM, etc., are conducted to verify the feasibility and effectiveness of the method in both analog and digital modulation identification. The simulation results demonstrate that the modulation recognition accuracy of CNN reaches 91% at a signal-to-noise ratio (SNR) of 10 dB, and its recognition performance is greatly improved compared with several other methods. © 2025 SPIE.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Neuromorphic Unlimited Sampling for High-Dynamic-Range Video Acquisition

Neuromorphic Unlimited Sampling for High-Dynamic-Range Video...

引用

2025 ieee International conference on Acoustics, Speech, and Signal Processing, ICASSP 2025

作者： Kamath, Abijith Jagannath Seelamantula, Chandra Sekhar Department of Electrical Engineering Indian Institute of Science Bengaluru560 012 India

ISBN: (纸本)9798350368741

The unlimited sampling framework (USF) is a computational sensing paradigm that addresses the practical bottleneck pertaining to finite dynamic range and quantization resolution of standard analog-to-digital converters (ADCs). The essence of unlimited sampling is to capture high-dynamic range (HDR) signals using practical sensors by folding the signal within the dynamic range of the sensor, followed by leveraging computational techniques for reconstruction. In this paper, we consider unlimited sampling using neuromorphic/event-driven encoders that enable acquisition of HDR signals as they simultaneously fold the signal and keep track of the folding instants using events. At ICASSP 2024, we proposed neuromorphic unlimited sampling for bandlimited signals. Herein, we extend the theory to include signals in principal shift-invariant spaces, and show that perfect reconstruction is possible without an oversampling requirement on the ADC. Samples of the folded signal along with the events are sufficient for perfect reconstruction with sampling rates that are independent of the dynamic-range of the ADC. Within the proposed technique, a large class of smooth signals that lie outside any shift-invariant space can be accommodated with the reconstruction error decreasing as the sampling interval is reduced. On the experimental front, we consider acquisition of HDR video signals using an array of neuromorphic unlimited samplers and demonstrate accurate reconstruction. The proposed neuromorphic design for HDR video acquisition does not require oversampling of the ADC because the HDR information is indirectly captured in a compressed form using binary events. © 2025 ieee.

关键词： high-dynamic range sensing modulo sampling Neuromorphic sampling shift-invariant spaces unlimited sampling

来源：评论

学校读者我要写书评

暂无评论

From Signals to Insights: Leveraging SVM for Cutting-Edge EEG Analysis

From Signals to Insights: Leveraging SVM for Cutting-Edge EE...

引用

Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI), ieee conference on

作者： Anmol Rattan Singh Gurjinder Singh Jayapal Lande Haayder M. Abbas Chitkara University Institute of Engineering and Technology Chitkara University Punjab India School of Computer Science and Artificial Intelligence SR University Warangal Telangana India Department of Computers Techniques Engineering College of Technical Engineering The Islamic University Najaf Iraq Department of Computers Techniques Engineering College of Technical Engineering The Islamic University of Al Diwaniyah Al Diwaniyah Iraq

ISBN: (数字)9798331521691

ISBN: (纸本)9798331521707

The exploration of electroencephalogram (EEG) signals sheds light on the diverse ways the brain reacts under varying conditions. EEG, a non-invasive method, captures brain activity by recording electromagnetic signals from neurons, which are processed through advanced sensors. Guided by the International 10-20 system, this method ensures accurate electrode placement on the scalp to obtain precise data. The transformation of these analog signals into digital form allows for further analysis, which is crucial for understanding brain functions and diagnosing neurological conditions. This research employed Support Vector Machine (SVM) models to analyze EEG data, aiming to identify patterns related to different brain states. The study achieved a notable accuracy of 96% in classifying various mental states, underscoring the effectiveness of EEG in medical diagnostics and enhancing our understanding of neurological conditions. This high level of precision highlights EEG’s significant potential in advancing our knowledge of brain functions.

关键词： Support vector machines Electrodes Analytical models Accuracy Data analysis Machine learning Brain modeling Electroencephalography Data models Medical diagnosis

来源：评论

学校读者我要写书评

暂无评论

Deciphering Neural Patterns using LSTM from EEG Signals

Deciphering Neural Patterns using LSTM from EEG Signals

引用

Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI), ieee conference on

作者： Anmol Rattan Singh Gurjinder Singh G Sunil Mohhamied Husaein Fallaah Chitkara University Institute of Engineering and Technology Chitkara University Punjab India School of Computer Science and Artificial Intelligence SR University Warangal Telangana India Department of Computers Techniques Engineering College of Technical Engineering The Islamic University Najaf Iraq Department of Computers Techniques Engineering College of Technical Engineering The Islamic University of Al Diwaniyah Al Diwaniyah Iraq

ISBN: (数字)9798331521691

ISBN: (纸本)9798331521707

The exploration of electroencephalogram (EEG) signals sheds light on the diverse ways the brain reacts under varying conditions. EEG, a non-invasive method, captures brain activity by recording electromagnetic signals from neurons, which are processed through advanced sensors. Guided by the International 10-20 system, this method ensures accurate electrode placement on the scalp to obtain precise data. The transformation of these analog signals into digital form allows for further analysis, which is crucial for understanding brain functions and diagnosing neurological conditions. This research employed Long Short-Term Memory (LSTM) models to analyze EEG data, aiming to identify patterns related to different brain states. The study achieved a notable accuracy of 96% in classifying various mental states, underscoring the effectiveness of EEG in medical diagnostics and enhancing our understanding of neurological conditions. This high level of precision highlights EEG’s significant potential in advancing our knowledge of brain functions.

关键词： Electrodes Analytical models Accuracy Data analysis Machine learning Brain modeling Electroencephalography Data models Medical diagnosis Long short term memory

来源：评论

学校读者我要写书评

暂无评论

Deep Learning for Modulo Sampling of FRI Signals

Deep Learning for Modulo Sampling of FRI Signals

引用

International conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Sem Koenen Vincent Van De Schaft Ruud J. G. van Sloun Dept. of Electrical Engineering Eindhoven University of Technology Eindhoven The Netherlands

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

The finite rate of innovation (FRI) of certain signal classes allows for sub-Nyquist sampling, while modulo folding enables sampling signals with dynamic ranges beyond that of an analog-to-digital converter (ADC). Combining these techniques enables sampling at sub-Nyquist rates using an ADC with a lower dynamic range than the signal. Current signal recovery techniques use algorithmic approaches with high oversampling factors (OFs) and constraints on the signal parameters. In this paper, we introduce a deep learning method to modulo unfolding and combine it with an annihilating filter approach for signal parameter recovery. Our method significantly improves unfolding accuracy and reduces error compared to the state-of-the-art, and performs well at OFs as low as 2 times the rate of innovation, with no constraints on the signal parameters. This approach offers a practical tool for signal recovery from modulo sampled FRI signals, potentially reducing the hardware demands of measurement devices.

关键词： Deep learning Performance evaluation Technological innovation Accuracy Heuristic algorithms Signal processing algorithms Filtering algorithms Dynamic range Signal processing Speech processing

来源：评论

学校读者我要写书评

暂无评论

Neuromorphic Unlimited Sampling for High-Dynamic-Range Video Acquisition

Neuromorphic Unlimited Sampling for High-Dynamic-Range Video...

引用

International conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Abijith Jagannath Kamath Chandra Sekhar Seelamantula Department of Electrical Engineering Indian Institute of Science Bengaluru India

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

关键词： Accuracy Quantization (signal) Neuromorphics Prototypes Dynamic range Sensors Speech processing Standards Signal resolution Sensor arrays

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126页 << < 1 2 3 4 5 6 7 8 9 10 > >>

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：