检索结果-内蒙古大学图书馆

Micro-PMU based on Savitzky-Golay filter

IET GENERATION TRANSMISSION & DISTRIBUTION 2020年第11期14卷 2092-2099页

作者： Aleixo, Renato R. Silva, Leandro R. M. Duque, Carlos A. Lima, Marcelo A. A. Univ Fed Juiz de Fora Elect Engn Program Juiz De Fora Brazil

This study describes a synchrophasor estimation method and its hardware implementation applicable at the distribution level of the power system, under steady-state or dynamic conditions. The method proposed is based on the discrete Fourier transform and uses the Savitzky-Golay filter in the frequency estimation process. The main goal of this study is to present the signal processing algorithm for phasor estimation and some important issues regarding its implementation in real-time systems. The performance of the micro-phasor measurement unit (mu-PMU) is validated using a waveform generator and real-time power system simulator.

关键词： signal processing discrete Fourier transforms frequency estimation real-time systems phasor measurement filtering theory microPMU Savitzky-Golay filter synchrophasor estimation method hardware implementation distribution level dynamic conditions frequency estimation process signal processing algorithm phasor estimation real-time systems microphasor measurement unit mu-PMU waveform generator real-time power system simulator discrete Fourier transform

来源：评论

学校读者我要写书评

暂无评论

Adaptive Filtering Approach With Forgetting Factor for Stochastic signals Applied to EEG

引用

IEEE ACCESS 2020年 8卷 101274-101283页

作者： Alicia Aguilar-Cruz, Karen de Jesus Medel-Juarez, Jose Teresa Zagaceta-Alvarez, Maria Palma-Orozco, Rosaura Urbieta-Parrazales, Romeo Inst Politecn Nacl Ctr Invest Computat Mexico City 07738 DF Mexico Inst Politecn Nacl Escuela Super Ingn Mean & Elect Azcapotzalco Mexico City 02519 DF Mexico Inst Politecn Nacl Escuela Super Comp Mexico City 07738 DF Mexico

This paper presents a new stochastic adaptive estimation-identification technique for nonstationary systems. The proposed method enhances the initial results from an on average estimation, and its identification, through a generalized adaptable function based on the Exponential Forgetting Factor (EFF), and the Sliding Mode (SM) regarding the error identification. In this form, the presented process includes the function implementation in three stages -estimation, adaptive estimation, and adaptive estimation-identification, allowing us to observe the gradual convergence to a nonstationary reference signal. Simulations first introduce convergence level checks obtained from the estimation and identification of artificial signals. After that, the algorithm is applied for real references, considering the Electroencephalogram (EEG) signals taken from a public database, finding their internal nonstationary gains, indirectly. Finally, the results include a performance comparison between the proposed strategy concerning the Recursive Least Square (RLS), the Least Mean Square (LMS), and the Kalman Filter (KF).

关键词： Adaptive estimation electroencephalogram parameter estimation signal processing algorithm system identification

来源：评论

学校读者我要写书评

暂无评论

Cooperative sensing based on permutation entropy with adaptive thresholding technique for cognitive radio networks

引用

IET SCIENCE MEASUREMENT & TECHNOLOGY 2016年第8期10卷 934-942页

作者： Srinu, Sesham Mishra, Amit Kumar Univ Cape Town Dept Elect Engn Cape Town South Africa

Spectrum sensing in the low signal-to-noise ratio (SNR) environment is vital task for the evolution of cognitive radio technology. The numerous signal processing algorithms have since been proposed to improve the spectrum sensing performance. In the recent past, entropy based sensing methods are shown to be robust in a low SNR environment with small data sets. However, these methods only focus on information content and ignore temporal order of the signal. Hence, selection of appropriate entropy technique that considers both information content and temporal order is important. In addition, many works consider that the distribution of noise follows Gaussian under assumption that the sample size is infinity. The detection threshold designed using this assumption yield unreliable decisions. On the contrary, the captured data is limited in real-time and it should be minimum to reduce the computational complexity. To address these two issues, empirical permutation entropy with adaptive thresholding detection technique is proposed. Then, the work is extended to weighted gain cooperative sensing that uses Higuchi fractal dimension method to generate weight for each node. Simulation results reveal that the proposed method is robust, less sensitive to sample size, and improves the single node as well as multinode sensing performance.

关键词： cooperative communication cognitive radio radio networks entropy signal detection radio spectrum management Gaussian distribution Gaussian noise communication complexity fractals cooperative sensing permutation entropy detection method adaptive thresholding technique cognitive radio network signal-to-noise ratio signal processing algorithm spectrum sensing performance signal detection SNR Gaussian noise distribution computational complexity adaptive threshold framing Higuchi fractal dimension method multinode sensing performance

来源：评论

学校读者我要写书评

暂无评论

Fast calculation algorithm for discrete resonance-based band-pass filter

引用

ALEXANDRIA ENGINEERING JOURNAL 2016年第3期55卷 2551-2563页

作者： Pankovski, Toso BrainExperiments Com 2436 Rue Acajou Montreal PQ Canada

A discrete resonant band-pass filter with a fast calculation algorithm, which can be used to perform discrete frequency transformations, is presented. The algorithm has low memory consumption requirements. It implements a numerical integration method, simulating a harmonic resonator element modeled by the under-damped driven oscillator equations, expressed in a discrete form. The output from the presented filter is a discrete function with an amplitude of the steady-solution that closely matches the theoretical steady-solution amplitude of the continuous bandpass filter output. Multiple discrete resonant band-pass filters can be used to build a filter bank, which in turn can be used to perform a time-to-frequency transformation of discrete signals. The filter achieves a frequency and a time localization without utilizing the time windowing method. The presented stand-alone calculation algorithm related to this filter produces its output with a delay of just one sampling period. The algorithm's calculation cost is only 3 multiplications and 3 additions per sample, and does not require long memory buffers. The presented transformation does not surpass the precision of the Discrete Fourier and Discrete Wavelet Transformations. However, it may prove essential when the noise-artifacts of the near-real-world simulation are necessary in order to produce some specific auditory-perception phenomena. (C) 2016 Faculty of Engineering, Alexandria University. Production and hosting by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://***/licenses/by-nc-nd/4.0/).

关键词： signal processing algorithm Band-pass filter Auditory-perception Cochlea Inner ear

来源：评论

学校读者我要写书评

暂无评论

Detecting Nano-Scale Vibrations in Rotating Devices by Using Advanced Computational Methods

引用

SENSORS 2010年第5期10卷 4983-4995页

作者： del Toro, Raul M. Haber, Rodolfo E. Schmittdiel, Michael C. Consejo Super Invest Cient Ctr Automat & Robot Madrid 28500 Spain Univ Autonoma Madrid Escuela Politecn Super E-28049 Madrid Spain

This paper presents a computational method for detecting vibrations related to eccentricity in ultra precision rotation devices used for nano-scale manufacturing. The vibration is indirectly measured via a frequency domain analysis of the signal from a piezoelectric sensor attached to the stationary component of the rotating device. The algorithm searches for particular harmonic sequences associated with the eccentricity of the device rotation axis. The detected sequence is quantified and serves as input to a regression model that estimates the eccentricity. A case study presents the application of the computational algorithm during precision manufacturing processes.

关键词： vibration measurement signal processing algorithm frequency domain analysis nanotechnology

来源：评论

学校读者我要写书评

暂无评论

Flexible Strain Sensor Based on Conductive Hydrogel/KC@PDMS for Neck Motion Control Wheelchair Using EMD-LSTM algorithm

引用

IEEE SENSORS JOURNAL 2024年第3期24卷 4079-4090页

作者： Wang, Xiaoming Xiong, Longbo Dong, Wentao Guo, Zhilong Huang, Yifeng Yao, Daojin East China Jiaotong Univ Sch Elect & Automat Engn Nanchang 330013 Peoples R China East China Jiaotong Univ Sch Civil Engn & Architecture Nanchang 330013 Peoples R China

Many disabled people are not suitable for the control of the current mainstream manual joystick-controlled wheelchair, so the study of new control methods can provide convenience for these people, including bioelectrical signal control, voice control, and visual control, but these control methods have peripheral equipment complex or susceptible to environmental noise interference, in contrast. These problems can be solved effectively by using a wearable flexible sensor to recognize human movement signal. To collect and identify the strain signal characteristics of the moving neck muscles, based on the principle of flexible piezoresistive sensor, we designed and produced a K-carrageenan at polydimethylsiloxane (PDMS) flexible sensor, designed a series of experiments to explore the conductive properties, mechanical properties, and air permeability of the sensor, and also designed the peripheral acquisition circuit and signal processing algorithm. Finally, the empirical mode decomposition (EMD)-long short-term memory (LSTM) algorithm is used to classify the signal and explore the feasibility of fitting the signal to the human neck to control the wheelchair. The results show that the maximum tensile rate of the sensor designed by us is as high as 180%, and the air permeability is also improved slightly. After 1000 cycles of stretching, the sensor still has good performance and can effectively collect human neck action signals. Through the field test, the accuracy of this system is up to 95%, which provides a new idea for wheelchair control.

关键词： Sensors Wheelchairs Sensor phenomena and characterization Neck Hydrogels Classification algorithms Capacitive sensors Flexible sensor neck movement recognition signal processing algorithm wheelchair control

来源：评论

学校读者我要写书评

暂无评论

algorithm to identify circulating tumor cell clusters using in vivo flow cytometer

引用

Journal of Innovative Optical Health Sciences 2018年第5期11卷 11-20页

作者： Kai Pang Dan Wei Pengfei Hai Zhangru Yang Xiaofu Weng Xunbin Wei State Key Laboratory of Oncogenes and Related Genes Shanghai Cancer Institute Med-X Research Institute and School of Biomedical Engineering Shanghai Jiao Tong University 1954 Huashan Road Shanghai 200030P.R.China Department of Biomedical Engineering Washington University in St.Louis One Brookings Drive St.LouisMissouri 63130USA Radiation Oncology Center Fudan University Shanghai Cancer Center(FUSCC)Shanghai 200032 P.R.China

Recent studies in oncology have addressed the importance of detecting circulating tumor cell clusters because circulating tumor cell clusters might survive and metastasize more easily than single circulating tumor *** with larger peak widths detected by in vivo flow cytometer(IVFC)have been used to identify cell clusters in previous ***,the accuracy of this criterion might be greatly degraded by variance in blood°ow and the rolling behaviors of circulating tumor ***,we propose a criterion and algorithm to distinguish cell clusters from single *** this work,we first used area-based and volume-based models for single°uorescent *** each model,we analyzed the corresponding morphology of IVFC signals from cell *** to the Rayleigh criterion,the valley between two adjacent peak signals from two distinguishable cells should be lower than 73.5%of the peak values.A novel signal processing algorithm for IVFC was developed based on this *** results showed that cell clusters can be reliably identied using our proposed *** imaging was also performed to further support our *** enhanced accuracy,IVFC is a powerful tool to study circulating cell clusters.

关键词： In vivo flow cytometer circulating tumor cell cell clusters signal processing algorithm computer simulation Rayleigh criterion

来源：评论

学校读者我要写书评

暂无评论

An All Fiber White Light Interferometric Absolute Temperature Measurement System

引用

SENSORS 2008年第11期8卷 6825-6845页

作者： Kim, Jeonggon Harrison Hansei Univ Informat & Commun Engn Dept Gunpo City Kyunggi Do South Korea

Recently the author of this article proposed a new signal processing algorithm for an all fiber white light interferometer. In this article, an all fiber white light interferometric absolute temperature measurement system is presented using the previously proposed signal processing algorithm. Stability and absolute temperature measurement were demonstrated. These two tests demonstrated the feasibility of absolute temperature measurement with an accuracy of 0.015 fringe and 0.0005 fringe, respectively. A hysteresis test from 373K to 873K was also presented. Finally, robustness of the sensor system towards laser diode temperature drift, AFMZI temperature drift and PZT non-linearity was demonstrated.

关键词： All fiber white light interferometry signal processing algorithm absolute temperature measurement

来源：评论

学校读者我要写书评

暂无评论

Ultrasonic testing system design for defect visualization of inhomogeneous multi-layered pipes

引用

SN APPLIED SCIENCES 2019年第12期1卷 1583页

作者： Zhu, Ye Liang, Yi Wei, Shicheng Wang, Yujiang Wang, Bo Acad Army Armored Forces Natl Key Lab Remfg Beijing 100072 Peoples R China

One of the major concerns of pipe equipment used for oil, gas and nuclear power generation, is their failure due to corrosion and abrasion of their inner walls. However, current methods have some problems detecting the inner wall of long and deep pipes, which has become an urgent safety problem. In this paper, we have designed and tested a suitable scanning and imaging method that offers high quality imaging, high efficiency and low cost. We applied the technique on remanufactured ceramic-lined steel composite pipe parts using a 4-module visualization nondestructive testing device. Digital signal and imaging algorithms were employed to superimpose multi-interface images to reconstruct 3D models of tested pipes with defects. Our findings suggest that ultrasonic scanning technique is feasible to analyze inner wall damages. The newly-designed hardware and software system shows efficiency and effectivity in the testing experiments on specimens with artificial markers and defects.

关键词： Inhomogeneous multi-layered pipes Ultrasonic nondestructive testing (UT) signal processing algorithm Image superposition

来源：评论

学校读者我要写书评

暂无评论

Ultrasonic Data Compression and Analysis During Material Inspection 11th

Ultrasonic Data Compression and Analysis During Material Ins...

引用

11th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations (AIAI)

作者： Merazi-Meksen, Thouraya Boudraa, Malika Boudraa, Bachir Univ Sci & Technol Houari Boumediene BP32 Algiers 16111 Algeria

ISBN: (纸本)9783319238685;9783319238678

Ultrasonic inspection is nowadays widely used in material inspection to detect and locate internal defects. However, in case of large structures inspection, such as pipelines, vessel reactors etc., the amount of signals to acquire and interpret may be very important, especially in modern techniques that use image representations. In this article, a proposed algorithm to ultrasonic data selection and processing is described. Images will be replaced by 2 arrays that contain only the data regarding a detected defect. This allows avoiding the storage of useless received ultrasonic data, and simple pattern recognition techniques may be exploited to defect characterization.

关键词： Ultrasounds Data compression signal processing algorithm Shape recognition

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：