论文信息 - Software customization to provide digital oscilloscope with enhanced period-measurement features

Software customization to provide digital oscilloscope with enhanced period-measurement features

This paper tackles the problem of signal period measurements by means of oscilloscopes. First, the performance of two last-generation scopes, implementing a zero-crossing algorithm, is evaluated. Then, after a brief resume of alternative measurement techniques, a solution to enhance the period-measurement capability of scopes is proposed and implemented in the LeCroy WaveMaster 8620A software. Finally, the results of the tests carried out on different signal waveforms are reported and analyzed.

C. Liguori | A. Pietrosanto | V. Paciello | M.G. D'Elia

[1] Hajime Kobayashi,et al. A weighted autocorrelation method for pitch extraction of noisy speech , 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

[2] David A. Krubsack,et al. A spectral autocorrelation method for measurement of the fundamental frequency of noise-corrupted speech , 1987, IEEE Trans. Acoust. Speech Signal Process..

[3] D. Yavuz,et al. Algorithm for pitch extraction using zero-crossing interval sequence , 1977 .

[4] Masoud Salehi,et al. Communication Systems Engineering , 1994 .

[5] Ho Wai Wong-Lam,et al. A robust and accurate algorithm for time measurements of periodic signals based on correlation techniques , 2001, IEEE Trans. Instrum. Meas..

[6] Yves Rolain,et al. Fully automated spectral analysis of periodic signals , 2003, IEEE Trans. Instrum. Meas..

[7] Seppo J. Ovaska,et al. Polynomial predictive filtering in control instrumentation: a review , 1999, IEEE Trans. Ind. Electron..

[8] J. Xi,et al. A new algorithm for improving the accuracy of periodic signal analysis , 1996 .

[9] S. C. Dutta Roy,et al. Frequency estimation based on iterated autocorrelation function , 1985, IEEE Trans. Acoust. Speech Signal Process..

[10] L. G. Ullate,et al. A New Algorithm for Improving the Accuracy of Periodic Signal Analysis , 1996 .