Input Stimulus Comparison using an Adaptive FPGA-based Testing System

被引：0
|
作者：
Sotirios, Pouros P. [1 ]
Vassilios, Vassios D. [1 ]
Dimitrios, Papakostas K. [1 ]
Alkis, Hatzopoulos A. [2 ]
机构：
[1] Alexander Technol & Educ Inst Thessaloniki, Dept Elect Engn TE, Thessaloniki, Greece
[2] Aristotle Univ Thessaloniki, Dept Elect & Comp Engn, Thessaloniki, Greece
来源：
2014 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS) | 2014年
关键词：
component; Fault Detection; Input Stimulus Selection; External Testing System; SUPPLY CURRENT; ANALOG;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper the comparison of input stimulus signals using an adaptive FPGA-based testing system based on a method utilising wavelet transformation of the current waveforms is presented. The testing scheme is innovative because it offers the ability of applying different input stimulus signals with respect to the requirements of the examined circuit. Moreover, the method used is simple, offers a single-point test measurement solution and may easily be adapted to test various other analog and mixed-signal systems. Experimental results arepresented showing the effectiveness of the proposed testing scheme.
引用
收藏
页码：277 / 280
页数：4
相关论文
共 50 条
  • [1] FPGA-based adaptive optical system for atmospheric applications
    Rukosuev, A. L.
    Belousov, V. N.
    Galaktionov, I. V.
    Nikitin, A. N.
    Kudryashov, A. V.
    Samarkin, V. V.
    Sheldakova, J. V.
    INTERNATIONAL CONFERENCE LASER OPTICS 2020 (ICLO 2020), 2020,
  • [2] An FPGA-based system for generalised electron devices testing
    Foster, Patrick
    Huang, Jinqi
    Serb, Alex
    Stathopoulos, Spyros
    Papavassiliou, Christos
    Prodromakis, Themis
    SCIENTIFIC REPORTS, 2022, 12 (01)
  • [3] An FPGA-based system for generalised electron devices testing
    Patrick Foster
    Jinqi Huang
    Alex Serb
    Spyros Stathopoulos
    Christos Papavassiliou
    Themis Prodromakis
    Scientific Reports, 12
  • [4] Design of FPGA-based adaptive remote calibration control system
    Jeang, YL
    Chen, LB
    Huang, CP
    Hsu, YH
    Yeh, MY
    Yang, KM
    2003 IEEE INTERNATIONAL CONFERENCE ON FIELD-PROGRAMMABLE TECHNOLOGY (FPT), PROCEEDINGS, 2003, : 299 - 302
  • [5] A Fingerprint Identification System Using Adaptive FPGA-Based Enhanced Probabilistic Convergent Network
    Lorrentz, P.
    Howells, W. G. J.
    McDonald-Maier, K. D.
    PROCEEDINGS OF THE 2009 NASA/ESA CONFERENCE ON ADAPTIVE HARDWARE AND SYSTEMS, 2009, : 204 - +
  • [6] Prototyping Memristors in Digital System with an FPGA-Based Testing Environment
    Wust, Daniel
    Biglari, Mehrdad
    Knoedtel, Johannes
    Reichenbach, Marc
    Soell, Christopher
    Fey, Dietmar
    2017 27TH INTERNATIONAL SYMPOSIUM ON POWER AND TIMING MODELING, OPTIMIZATION AND SIMULATION (PATMOS), 2017,
  • [7] FPGA-based reconfigurable adaptive FEC
    Shimizu, K
    Uchida, J
    Miyaoka, Y
    Togawa, N
    Yanagisawa, M
    Ohtsuki, T
    IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2004, E87A (12) : 3036 - 3046
  • [8] An FPGA-based adaptive fuzzy coprocessor
    Di Stefano, A
    Giaconia, C
    COMPUTATIONAL INTELLIGENCE AND BIOINSPIRED SYSTEMS, PROCEEDINGS, 2005, 3512 : 590 - 597
  • [9] FPGA-based real-time visual tracking system using adaptive color histograms
    Cho, Jung Uk
    Jin, Seung Hun
    Pham, Xuan Dai
    Kim, Dongkyun
    Jeon, Jae Wook
    2007 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS, VOLS 1-5, 2007, : 172 - 177
  • [10] FPGA-based adaptive backstepping control system using RBFN for linear induction motor drive
    Lin, F. -J.
    Teng, L. -T.
    Chen, C. -Y.
    Hung, Y. -C.
    IET ELECTRIC POWER APPLICATIONS, 2008, 2 (06) : 325 - 340
12345