Pub Date : 2017-10-01DOI: 10.1109/ICEMI.2017.8265891
Liu Guangpu, Du Yanxia, Y. Zimin, Ren Yong
The limit improvement factor of CINRAD/SA transmitter, which is the abbreviation of SA model of China New Generation Radar, is including two parts of transmitter input and output limit improvement factors. It can affect the spectrum estimation of radar echo signal and the filtering capabilities. In order to diagnose and analyze for abnormal limit improvement factor of CINRAD/SA transmitter, we introduce its principle firstly in this paper, then analyze the transmitter and receiver circuits which can impact the limit improvement factor, and last classify the disturbance causes of different frequency. We can find the causes for interring and provide relevant solutions in this way, give better advice and assist for radar technologists to complete test on site and the work of maintenance and service, ensure CINRAD/SA running smoothly.
{"title":"Analysis and diagnosis for abnormal limit improvement factor of CINRAD/SA radar transmitter","authors":"Liu Guangpu, Du Yanxia, Y. Zimin, Ren Yong","doi":"10.1109/ICEMI.2017.8265891","DOIUrl":"https://doi.org/10.1109/ICEMI.2017.8265891","url":null,"abstract":"The limit improvement factor of CINRAD/SA transmitter, which is the abbreviation of SA model of China New Generation Radar, is including two parts of transmitter input and output limit improvement factors. It can affect the spectrum estimation of radar echo signal and the filtering capabilities. In order to diagnose and analyze for abnormal limit improvement factor of CINRAD/SA transmitter, we introduce its principle firstly in this paper, then analyze the transmitter and receiver circuits which can impact the limit improvement factor, and last classify the disturbance causes of different frequency. We can find the causes for interring and provide relevant solutions in this way, give better advice and assist for radar technologists to complete test on site and the work of maintenance and service, ensure CINRAD/SA running smoothly.","PeriodicalId":275568,"journal":{"name":"2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115309162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-01DOI: 10.1109/ICEMI.2017.8265956
Wu Yaohui, L. Si, Wu Haozhen, Wu Tianbo
To distinguish the short circuit fault overcurrent and the asynchronous motor starting overcurrent in power supply system protection, this paper described a phase-sensitive detection protector based on signal-input-capture function of the timer in STM32 chip. Through many theories, experiments and analyses, the range of the power factor used for discriminant of asynchronous motor starting was set to 0.4–0.5 in protector. The protector used the power factor as a discrimination criterion. The voltage and current sinusoidal signals were transformed to recognizable signals by the hardware, which were input to the timer and then the relevant data were gotten. At last, the data were dealt by the system task in software, gotten was the power factor of system voltage and current, which was afterwards compared with the set value to distinguish the two kinds of overcurrent. By testing, the protector measured the power factors of system accurately, which met the protection requirements.
{"title":"Design of low-voltage switch phase-sensitive protector based on STM32","authors":"Wu Yaohui, L. Si, Wu Haozhen, Wu Tianbo","doi":"10.1109/ICEMI.2017.8265956","DOIUrl":"https://doi.org/10.1109/ICEMI.2017.8265956","url":null,"abstract":"To distinguish the short circuit fault overcurrent and the asynchronous motor starting overcurrent in power supply system protection, this paper described a phase-sensitive detection protector based on signal-input-capture function of the timer in STM32 chip. Through many theories, experiments and analyses, the range of the power factor used for discriminant of asynchronous motor starting was set to 0.4–0.5 in protector. The protector used the power factor as a discrimination criterion. The voltage and current sinusoidal signals were transformed to recognizable signals by the hardware, which were input to the timer and then the relevant data were gotten. At last, the data were dealt by the system task in software, gotten was the power factor of system voltage and current, which was afterwards compared with the set value to distinguish the two kinds of overcurrent. By testing, the protector measured the power factors of system accurately, which met the protection requirements.","PeriodicalId":275568,"journal":{"name":"2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121182087","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-01DOI: 10.1109/ICEMI.2017.8265868
Hu Qiang, Zhang Meixiang
Luby Transform codes are the first practical implementation of the digital fountain code. Their performance mainly depends on the degree distribution in erasure channels, but also on the low-degree variable nodes, whose reliability is pretty low, and thus results in the error floor. In this paper, we propose a scheme by applying the modified encoding to the Poisson Robust Soliton Distribution (PRSD) to further increase the overall the bit error rate (BER) performance over the additive white Gaussian noise (AWGN) channel. Simulation results demonstrate that the proposed scheme outperforms the existing schemes.
{"title":"On the performance of LT codes","authors":"Hu Qiang, Zhang Meixiang","doi":"10.1109/ICEMI.2017.8265868","DOIUrl":"https://doi.org/10.1109/ICEMI.2017.8265868","url":null,"abstract":"Luby Transform codes are the first practical implementation of the digital fountain code. Their performance mainly depends on the degree distribution in erasure channels, but also on the low-degree variable nodes, whose reliability is pretty low, and thus results in the error floor. In this paper, we propose a scheme by applying the modified encoding to the Poisson Robust Soliton Distribution (PRSD) to further increase the overall the bit error rate (BER) performance over the additive white Gaussian noise (AWGN) channel. Simulation results demonstrate that the proposed scheme outperforms the existing schemes.","PeriodicalId":275568,"journal":{"name":"2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116599960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-01DOI: 10.1109/ICEMI.2017.8265996
Yan Yimin, Qian Hui, H. Yufang
In this paper, we investigate sub-Nyquist sampling method, which can work at the sampling rate below the Nyquist rate. Nowadays, the sampling rate of the classical sub-Nyquist sampling is higher than discrete Compressed Sensing (CS), since the sparseness of the original signal is always destroyed by basis mismatch. We propose a new multi-channel co-prime sampling system along with Sparse Fourier Transform. The analog signal of each channel is firstly mixed by a series of exponential functions. Then, it is fed into integrators and commercial analog-to-digital converters (ADCs). It is noted that the frequency parameters of each subsystem are co-prime. Chinese remainder theorem (CRT) is utilized for the joint processing of all sets of samples and the reconstruction of original signals. Finally, the effects of the signal sparsity, the sampling rate and the signal to noise ratio are simulated in this system. In addition, the experimental results show that the proposed system can work at the rate lower than Random Demodulation RD), Modulated wideband converter (MWC) and their improved version.
{"title":"A multi-channel sub-nyquist sampling method based on spectrum co-prime permutation","authors":"Yan Yimin, Qian Hui, H. Yufang","doi":"10.1109/ICEMI.2017.8265996","DOIUrl":"https://doi.org/10.1109/ICEMI.2017.8265996","url":null,"abstract":"In this paper, we investigate sub-Nyquist sampling method, which can work at the sampling rate below the Nyquist rate. Nowadays, the sampling rate of the classical sub-Nyquist sampling is higher than discrete Compressed Sensing (CS), since the sparseness of the original signal is always destroyed by basis mismatch. We propose a new multi-channel co-prime sampling system along with Sparse Fourier Transform. The analog signal of each channel is firstly mixed by a series of exponential functions. Then, it is fed into integrators and commercial analog-to-digital converters (ADCs). It is noted that the frequency parameters of each subsystem are co-prime. Chinese remainder theorem (CRT) is utilized for the joint processing of all sets of samples and the reconstruction of original signals. Finally, the effects of the signal sparsity, the sampling rate and the signal to noise ratio are simulated in this system. In addition, the experimental results show that the proposed system can work at the rate lower than Random Demodulation RD), Modulated wideband converter (MWC) and their improved version.","PeriodicalId":275568,"journal":{"name":"2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121806160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-01DOI: 10.1109/ICEMI.2017.8265812
Xiao Xinyu, Wu Guoxin, Zhuo Chunmei, Geng Qiaoman, Di Chunyan
Image enhancement is an important part of the image processing of Dongba manuscripts. For the low-contrast and fuzzy Dongba manuscripts image, in this paper, an image enhancement algorithm based on wavelet analysis and grey relational analysis is proposed. Firstly, the wavelet transform is used to decompose the Dongba manuscripts image into three levels, and the corresponding low-frequency components and high-frequency components are obtained. Then, the interference signal and the useful signal in the high frequency component are distinguished by the grey relation analysis theory. Finally, inverse wavelet transformation is used to reconstruct the image so that the contrast enhancement and background suppression can be achieved. The experimental results show that compared with the conventional filtering method and wavelet threshold denoising enhancement method, the proposed method has the highest peak signal-to-noise ratio, suppresses the noise while enhancing the image details and improving the image contrast.
{"title":"Image enhancement algorithm of Dongba manuscripts based on wavelet analysis and grey relational theory","authors":"Xiao Xinyu, Wu Guoxin, Zhuo Chunmei, Geng Qiaoman, Di Chunyan","doi":"10.1109/ICEMI.2017.8265812","DOIUrl":"https://doi.org/10.1109/ICEMI.2017.8265812","url":null,"abstract":"Image enhancement is an important part of the image processing of Dongba manuscripts. For the low-contrast and fuzzy Dongba manuscripts image, in this paper, an image enhancement algorithm based on wavelet analysis and grey relational analysis is proposed. Firstly, the wavelet transform is used to decompose the Dongba manuscripts image into three levels, and the corresponding low-frequency components and high-frequency components are obtained. Then, the interference signal and the useful signal in the high frequency component are distinguished by the grey relation analysis theory. Finally, inverse wavelet transformation is used to reconstruct the image so that the contrast enhancement and background suppression can be achieved. The experimental results show that compared with the conventional filtering method and wavelet threshold denoising enhancement method, the proposed method has the highest peak signal-to-noise ratio, suppresses the noise while enhancing the image details and improving the image contrast.","PeriodicalId":275568,"journal":{"name":"2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125002039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-01DOI: 10.1109/ICEMI.2017.8265736
Da Feng, Cheng Xingxin, Guo Jinchao, Deng Kai, Zheng Jianyong, Liang Junhan
At present, the way of dealing with UPFC faults in the power grid is accomplished by relay protection. As the protection equipment removes the entire UPFC system when the UPFC fails, the maintenance personnel cannot get the fault information. In response to the problem of long fault time and low reliability, a fault diagnosis method is proposed in this paper. After processed for twice, the UPFC DC side voltage and current signals are selected to be analyzed by using db2 wavelet. The fault points are found by the 6th layer wavelet signal and then the eigenvalues of the electrical signal waveforms are extracted. The eigenvectors consisted of eigenvalues are classified by the support vector machine (SVM) to realize the fault diagnosis of UPFC. The results of UPFC fault diagnosis provide maintenance basis for maintenance personnel, so that maintenance work is more targeted and the recovery is faster.
{"title":"Research on UPFC fault diagnosis based on wavelet transform and support vector machines","authors":"Da Feng, Cheng Xingxin, Guo Jinchao, Deng Kai, Zheng Jianyong, Liang Junhan","doi":"10.1109/ICEMI.2017.8265736","DOIUrl":"https://doi.org/10.1109/ICEMI.2017.8265736","url":null,"abstract":"At present, the way of dealing with UPFC faults in the power grid is accomplished by relay protection. As the protection equipment removes the entire UPFC system when the UPFC fails, the maintenance personnel cannot get the fault information. In response to the problem of long fault time and low reliability, a fault diagnosis method is proposed in this paper. After processed for twice, the UPFC DC side voltage and current signals are selected to be analyzed by using db2 wavelet. The fault points are found by the 6th layer wavelet signal and then the eigenvalues of the electrical signal waveforms are extracted. The eigenvectors consisted of eigenvalues are classified by the support vector machine (SVM) to realize the fault diagnosis of UPFC. The results of UPFC fault diagnosis provide maintenance basis for maintenance personnel, so that maintenance work is more targeted and the recovery is faster.","PeriodicalId":275568,"journal":{"name":"2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122695335","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-01DOI: 10.1109/ICEMI.2017.8265993
Yan Wenhe, Hua Yu, Yuan Jiangbin, Zhao Kunjuan, Li Shifeng
The stability and accuracy of the whole receiving system is affected by the cycle-identification in the Loran-C receivers. In this paper, aiming disadvantages of the current techniques for cycle-identification, on the basis of using the linear digital average to improve the signal to noise ratio, the signal is detected by using the joint detection method of peak-peak ratio detection and polarity decision. The validity of the proposed method is verified by simulating, and the noise tolerance is analyzed. Finally, the method is verified by the Loran-C receiver. The results show that, when the signal to SNR is greater than 15dB, the joint detection method can accurately detect the standard zero, and the cycle-identification accuracy is better than 0.1us. The joint detection method is reasonable and reliable, and it can lay the foundation for the high precision timing and time delay measurement of the modern digital Lo-ran-C receivers.
{"title":"A joint detection method of cycle-identification for loran-C signal","authors":"Yan Wenhe, Hua Yu, Yuan Jiangbin, Zhao Kunjuan, Li Shifeng","doi":"10.1109/ICEMI.2017.8265993","DOIUrl":"https://doi.org/10.1109/ICEMI.2017.8265993","url":null,"abstract":"The stability and accuracy of the whole receiving system is affected by the cycle-identification in the Loran-C receivers. In this paper, aiming disadvantages of the current techniques for cycle-identification, on the basis of using the linear digital average to improve the signal to noise ratio, the signal is detected by using the joint detection method of peak-peak ratio detection and polarity decision. The validity of the proposed method is verified by simulating, and the noise tolerance is analyzed. Finally, the method is verified by the Loran-C receiver. The results show that, when the signal to SNR is greater than 15dB, the joint detection method can accurately detect the standard zero, and the cycle-identification accuracy is better than 0.1us. The joint detection method is reasonable and reliable, and it can lay the foundation for the high precision timing and time delay measurement of the modern digital Lo-ran-C receivers.","PeriodicalId":275568,"journal":{"name":"2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"4 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132745882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-01DOI: 10.1109/ICEMI.2017.8265912
Guo Lianping, Meng Jie, Tan Feng, Zeng Hao, Qiu Duyu
This paper introduces a quadratic Digital Down-Conversion (DDC) structure which moves Intermediate Frequency (IF) signal to baseband by two steps. Firstly, IF signal is moved to baseband nearby with the help of a structure based on polyphase filter, which places mixers after polyphase filters. Then, the signal is moved to baseband through conventional orthogonal frequency mixing. This presented architecture can reduce filter resources and effectively reduce the sample rate and process cost. The implementation structure of the polyphase filters is particularly derived, as well as the constrains on the input signal. Finally, simulation results are presented to illustrate the validity of the new structure.
{"title":"Filter analysis in the quadratic DDC structure","authors":"Guo Lianping, Meng Jie, Tan Feng, Zeng Hao, Qiu Duyu","doi":"10.1109/ICEMI.2017.8265912","DOIUrl":"https://doi.org/10.1109/ICEMI.2017.8265912","url":null,"abstract":"This paper introduces a quadratic Digital Down-Conversion (DDC) structure which moves Intermediate Frequency (IF) signal to baseband by two steps. Firstly, IF signal is moved to baseband nearby with the help of a structure based on polyphase filter, which places mixers after polyphase filters. Then, the signal is moved to baseband through conventional orthogonal frequency mixing. This presented architecture can reduce filter resources and effectively reduce the sample rate and process cost. The implementation structure of the polyphase filters is particularly derived, as well as the constrains on the input signal. Finally, simulation results are presented to illustrate the validity of the new structure.","PeriodicalId":275568,"journal":{"name":"2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133947455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-01DOI: 10.1109/ICEMI.2017.8265872
Shuhan Chen, Wang Ben, Jindong Li, Xuelong Hu
Semantic image segmentation plays a central role in image understanding and could be applied in various applications. With the development of deep learning techniques, great progress has been made in recent years. However, it is still very challenging to produce accurate segmentation results especially near object boundaries. Furthermore, all the methods with top performances are contributed by pixel-level annotations which needs expensive human effort and tremendous labeling time. In this paper, we explore a simple semantic segmentation approach using region-based object detector which only needs bounding box annotations. The main idea is using object detector to classify region proposals and then applying saliency detection method to segment such classified proposals. Experimental results on PASCAL VOC 2012 validation dataset show its comparable performance with fully supervised methods by masks.
{"title":"Semantic image segmentation using region-based object detector","authors":"Shuhan Chen, Wang Ben, Jindong Li, Xuelong Hu","doi":"10.1109/ICEMI.2017.8265872","DOIUrl":"https://doi.org/10.1109/ICEMI.2017.8265872","url":null,"abstract":"Semantic image segmentation plays a central role in image understanding and could be applied in various applications. With the development of deep learning techniques, great progress has been made in recent years. However, it is still very challenging to produce accurate segmentation results especially near object boundaries. Furthermore, all the methods with top performances are contributed by pixel-level annotations which needs expensive human effort and tremendous labeling time. In this paper, we explore a simple semantic segmentation approach using region-based object detector which only needs bounding box annotations. The main idea is using object detector to classify region proposals and then applying saliency detection method to segment such classified proposals. Experimental results on PASCAL VOC 2012 validation dataset show its comparable performance with fully supervised methods by masks.","PeriodicalId":275568,"journal":{"name":"2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131898480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-01DOI: 10.1109/ICEMI.2017.8265909
Qinchuan Zhang, Wuhuang Huang, Zeng Hao
The novel digital storage oscilloscopes provides the abundant digital signal processing and analysis functions, including envelope analysis which plays a significant role in anomaly detection and fault diagnosis. In this paper, envelope analysis based on a modified multiscale-based peak detection method is proposed. Firstly, a waveform database is built by use of the 3D waveform mapping technology; and then, the envelope waveforms are computed. The results are displayed on the screen according to the predefined envelope waveform intensity, with the envelope waveform updated in real time according to the variable envelope persistence parameter set by the user. The simulation and experiment demonstrates that this method can improve the test efficiency and lower the test cost.
{"title":"Study on enhancing features of digital oscilloscope to analyze the envelope of signal","authors":"Qinchuan Zhang, Wuhuang Huang, Zeng Hao","doi":"10.1109/ICEMI.2017.8265909","DOIUrl":"https://doi.org/10.1109/ICEMI.2017.8265909","url":null,"abstract":"The novel digital storage oscilloscopes provides the abundant digital signal processing and analysis functions, including envelope analysis which plays a significant role in anomaly detection and fault diagnosis. In this paper, envelope analysis based on a modified multiscale-based peak detection method is proposed. Firstly, a waveform database is built by use of the 3D waveform mapping technology; and then, the envelope waveforms are computed. The results are displayed on the screen according to the predefined envelope waveform intensity, with the envelope waveform updated in real time according to the variable envelope persistence parameter set by the user. The simulation and experiment demonstrates that this method can improve the test efficiency and lower the test cost.","PeriodicalId":275568,"journal":{"name":"2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"51 8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134456353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：