A method to evaluate accuracy of FFT-based periodicity analysis for short length signal in low SNR

Hiroshi Kanai, Noriyoshi Chubachi, Hideo Suzuki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Described is a new method to evaluate theoretically and quantitatively the estimation error (bias error and variance) of the periodicity analysis when the fast Fourier transform (FFT) is applied to a sinusoidal signal in arbitrary signal-To-noise ratio (SNR) cases and when various windows are employed. The resultant quantitative evaluation of the estimation error is useful in many applications of various field to evaluate the bias error and uncertainty in the obtained spectrum. This method is also applied to design the optimum window function to minimize windowing defects, especially for short-length signals. Thus, the evaluation method proposed should play a significant role in the field of nonparametric spectrum estimation.

Original languageEnglish
Title of host publicationICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages45-48
Number of pages4
Volume5
ISBN (Electronic)0780305329
DOIs
Publication statusPublished - 1992
Event1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1992 - San Francisco, United States
Duration: 1992 Mar 231992 Mar 26

Other

Other1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1992
Country/TerritoryUnited States
CitySan Francisco
Period92/3/2392/3/26

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'A method to evaluate accuracy of FFT-based periodicity analysis for short length signal in low SNR'. Together they form a unique fingerprint.

Cite this