检索结果-内蒙古大学图书馆

Trends in Material Science and Inventive Materials (ICTMIM), International Conference on

作者： D D Padma Priya Shanthi G Bindu K B Aparupa Panigrahi Likhitha G Vinoth Kumar K Department of Mathematics New Horizon College of Engineering Bengaluru India Department of ECE Thangavelu Engineering College Chennai India Department of BCA Krupanidhi Degree College Bengaluru India Department of BCA New Horizon College Marathahalli Bengaluru India Department of BCA Sacred Heart Degree College For Women Bengaluru India Department of EEE New Horizon College of Engineering Bengaluru India

ISBN: (数字)9798331501488

ISBN: (纸本)9798331501495

This paper presents an overview of the precise models that have been utilized to investigate induction motors under faulty conditions using Artificial Intelligence techniques. A comprehensive explanation of each typical category is given, as well as the strengths and weaknesses in their capacity to replicate various kinds of flaws using AI Techniques.

关键词： Fault diagnosis Materials science and technology Induction motors Reviews signal processing algorithms Rotors Market research Circuit faults Artificial intelligence Bars

来源：评论

学校读者我要写书评

暂无评论

signal processing algorithms for motor imagery brain-computer interface:State of the art

引用

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2018年第6期35卷 6405-6419页

作者： Hong, Jie Qin, Xiansheng Li, Jing Niu, Junlong Wang, Wenjie Northwestern Polytech Univ Sch Mech Engn Xian Shaanxi Peoples R China

Over the past two decades, motor imagery brain-computer interface (MI-BCI) system has been extensively developed. In this system signal processing algorithms are critical to robust operation. In BCI community, however, there is no comprehensive review of the recent development of signal processing algorithms. Through analyzing the latest papers, signal processing algorithms of pre-processing, feature extraction, feature selection, and classification components are discussed in detail. Besides, post-processing and other existing problems are mentioned. The following key issues are addressed: (1) which components are the key of signal processing;(2) which signal processing algorithms are frequently used in each component;(3) which signal processing algorithms attract more attention. This information can be used as reference and guidance for further research.

关键词： Motor imagery brain-computer interface (MI-BCI) signal processing algorithms pre-processing feature extraction classification

来源：评论

学校读者我要写书评

暂无评论

Modeling and Reproducing Textile Sensor Noise: Implications for Textile-Compatible signal processing algorithms

引用

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS 2022年第1期26卷 243-253页

作者： Tian, Yupeng Kabir, Muammar Abdizadeh, Mohammad Poursartip, Behnaz Mahnam, Amin Bhattachan, Presish Eskandarian, Ladan Meghrazi, Milad Alizadeh Mellal, Idir Popovic, Milos R. Lankarany, Milad Univ Hlth Network UHN Krembil Res Inst Toronto ON M5T 1M8 Canada Univ Hlth Network UHN KITE Res Inst Toronto ON M5G 2A2 Canada Univ Toronto Inst Biomed Engn Toronto ON M5S 3G9 Canada Myant Inc Toronto ON M9W 1B6 Canada Univ Waterloo Waterloo ON N2L 3G1 Canada Univ Toronto Dept Mat Sci & Engn Toronto ON M5S 3G9 Canada Univ Toronto Inst Biomed Engn Toronto ON M5S Canada Univ Toronto Dept Physiol Toronto ON M5S 1A8 Canada

Smart textiles provide an opportunity to simultaneously record various electrophysiological signals, e.g., ECG, from the human body in a non-invasive and continuous manner. Accurate processing of ECG signals recorded using textile sensors is challenging due to the very low signal-to-noise ratio (SNR). signal processing algorithms that can extract ECG signals out of textile-based electrode recordings, despite low SNR are needed. Presently, there are no textile ECG datasets available to develop, test and validate these algorithms. In this paper we attempted to model textile ECG signals by adding the textile sensor noise to open access ECG signals. We employed the linear predictive coding method to model different features of this noise. By approximating the linear predictive coding residual signals using Kernel Density Estimation, an artificial textile ECG noise signal was generated by filtering the residual signal with the linear predictive coding coefficients. The synthetic textile sensor noise was added to the MIT-BIH Arrhythmia Database (MITDB), thus creating Textile-like ECG dataset consisting of 108 trials (30 min each). Furthermore, a Python code for generating textile-like ECG signals with variable SNR was also made available online. Finally, to provide a benchmark for the performance of R-peak detection algorithms on textile ECG, the five common R-peak detection algorithms: Pan & Tompkins, improved Pan & Tompkins (in Biosppy), Hamilton, Engelse, and Khamis, were tested on textile-like MITDB. This work provides an approach to generating noisy textile ECG signals, and facilitating the development, testing, and evaluation of signal processing algorithms for textile ECGs.

关键词： Textiles Electrocardiography Feature extraction Electrodes Motion artifacts signal processing algorithms signal to noise ratio Kernel density estimation linear predictive coding R-peak detection textile sensor noise (TSN)

来源：评论

学校读者我要写书评

暂无评论

Overview of digital signal processing algorithms, Part II

引用

IEEE INSTRUMENTATION & MEASUREMENT MAGAZINE 2007年第2期10卷 53-58页

作者： Oshana, Robert Software Development Organization DSP Systems Group Texas Intruments United States Southern Methodist University United States

Digital signal processing (DSP) is the process of taking a signal and performing an algorithm on it to analyze, modify, or better identify that signal. To take advantage of DSP advances, one must have at least a basic understanding of DSP theory along with an understanding of the hardware architecture designed to support these new advances. There are several programming techniques that maximize the efficiency of the DSP hardware, as well as a few fundamental concepts used to implement DSP software. This tutorial will touch on the fundamental concepts of DSP theory and algorithms and also provide an overview of the implementation and optimization of DSP software.

关键词： Tutorial Digital signal processing signal processing algorithms Instrumentation and measurement signal processing Hardware signal analysis Performance analysis Algorithm design and analysis Computer architecture

来源：评论

学校读者我要写书评

暂无评论

A QUANTITATIVE METHODOLOGY FOR RAPID PROTOTYPING AND HIGH-LEVEL SYNTHESIS OF signal-processing algorithms

引用

IEEE TRANSACTIONS ON signal processing 1994年第11期42卷 3188-3208页

作者： MADISETTI, VK CURTIS, BA School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA

This paper introduces a systematic quantitative methodology to prototype deterministic recursive DSP algorithms onto multiple programmable signal processors. A scheduling framework that is based upon linear integer programming techniques is used to obtain rate, processor, delay, and communications optimal schedules for a given data flow graph representation of a signal processing algorithm. This powerful design synthesis environment facilitates optimal scheduling for randomly connected heterogeneous systems with multiple pipelined functional units and finite resources in VLSI. This framework can also be used in the high-level synthesis of efficient register-transfer level (RTL) VLSI descriptions from behavioral specifications.

关键词： Prototypes Optimal scheduling signal processing algorithms Very large scale integration Digital signal processing signal processing Processor scheduling Linear programming Delay Flow graphs

来源：评论

学校读者我要写书评

暂无评论

INTELLIGENT CONTROL OF signal-processing algorithms IN COMMUNICATIONS

引用

IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS 1994年第9期12卷 1553-1565页

作者： ROLI, F SERPICO, SB VERNAZZA, G Dipartimento di Ingegneria Biofisica ed Elettronica Università Degli Studi di Genova Genoa Italy

In future telecommunications networks, an important role will be played by ''intelligent control'' techniques aimed at selecting and tuning signal processing (SP) algorithms, In this paper, we first define the main problems of automatic control of SP algorithms;then, we propose our knowledge-based approach to carry out such a task. In the planning phase, a restricted set of algorithm sequences are selected. This set is used as a raw plan to be refined and corrected in the execution phase, based on quality tests on progressive results. In particular, we focus on the control strategies adopted and describe how expert knowledge is represented and applied to implement such strategies, As an example, the control of low-level image processing is detailed, Results an an image-compression application are also reported,

关键词： Intelligent control signal processing algorithms Communication system control Telecommunication control signal processing Automatic control Image processing Biomedical signal processing Image coding Intelligent networks

来源：评论

学校读者我要写书评

暂无评论

On properties of information matrices of delta-operator based adaptive signal processing algorithms

引用

IEEE TRANSACTIONS ON signal processing 1997年第10期45卷 2454-2467页

作者： Li, Q Fan, H UNIV CINCINNATI DEPT ELECT & COMP ENGNCINCINNATIOH 45221

In this paper, we study the properties of information matrices of the difference operator or the so-called delta (delta) operator-based algorithms for adaptive signal processing. We show that the conditioning of a transformed information matrix in the delta domain is always better than that of the original information matrix in the conventional q domain for ill-conditioned problems. The results obtained in this paper give the explanation of the advantages of using delta operator algorithms for adaptive signal processing that have been developed recently. The analysis in this paper also helps to clarify the problem about the effect of Delta in the delta operator algorithms and justify the use of sampling interval as Delta in most cases when the ill conditioning is caused by fast sampling of continuous time systems.

关键词： Adaptive signal processing signal processing algorithms signal sampling Limiting Cause effect analysis Algorithm design and analysis Continuous time systems Equations Upper bound Reflection

来源：评论

学校读者我要写书评

暂无评论

CONCURRENT FORMS OF signal-processing algorithms

引用

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS 1989年第4期36卷 553-560页

作者： PORTER, WA Department of Electrical Engineering Louisiana State University Baton Rouge LA USA

Forms of algorithms that facilitate rapid processing on affiliated systolic arrays are examined. Classes of linear maps A: E/sup /n to E/sup /n that can be computed on p*p arrays at speed. O(p) where p= square root n are identified. The array architectures which provide the requisite computational support are proposed. The expansion of arbitrary linear maps in terms of the fast maps is considered. The results include a definitive method for minimal expansions and for best approximations of an a priori order. A detailed comparative example which illustrates the principles in question is also included.

关键词： maps signal processing algorithms Systolic algorithms optimal approximation RAPID processing algorithms Linear array structure

来源：评论

学校读者我要写书评

暂无评论

DIGITAL signal-processing algorithms FOR POWER AND LINE PARAMETER MEASUREMENTS WITH LOW SENSITIVITY TO FREQUENCY CHANGE

引用

IEEE TRANSACTIONS ON POWER DELIVERY 1990年第2期5卷 1209-1215页

作者： PERUNICIC, B KEZUNOVIC, M LEVI, S SOLJANIN, E TEXAS A&M UNIV SYST COLLEGE STN TX 77843 USA

A novel approach to definition of digital signal processing algorithms using bilinear form representation is introduced. The new algorithms are used to calculate power system power and line parameter values based on the current and voltage samples. The bilinear form approach provides a convenient methodology for optimal design of digital signal processing algorithms. This feature is utilized to design digital algorithms for power and line parameter measurements with low sensitivity to system frequency change. Several different algorithms are defined and their performance is investigated by testing their sensitivity to system frequency change. Various sampling rates and different data windows are utilized to define several test cases.< >

关键词： Digital signal processing signal processing algorithms Algorithm design and analysis Power system measurements Voltage Design methodology signal design Power measurement Frequency measurement System testing

来源：评论

学校读者我要写书评

暂无评论

A METHOD FOR NONASYMPTOTIC PERFORMANCE ANALYSES OF ARRAY signal-processing algorithms

引用

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-ANALOG AND DIGITAL signal processing 1994年第11期41卷 772-774页

作者： SILVERSTEIN, SD GE Corporate Research and Development Center Schenectady NY USA

This work features a stochastic perturbation theoretic approach that can be used to calculate the performance analyses of array signal processing algorithms for the nonasymptotically large, moderate data regimes that are appropriate for many practical system applications. As an example, the perturbation method is used to develop the expressions for the moments of the MUSIC null spectrum at moderate SNR for independent data snapshot numbers as low as approximately 5. Theoretical predictions are shown to be in good agreement with empirical statistical simulation results.

关键词： signal analysis Performance analysis Algorithm design and analysis signal processing algorithms Vectors Quantum mechanics Sensor arrays Multiple signal classification Frequency Stochastic systems

来源：评论

学校读者我要写书评

暂无评论

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：

请选择收藏分类：

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

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：