An Improved Wide-band Noise Signal Analysis Method

  •  Wenyan Wang    
  •  Didi Liu    
  •  Xiaohua Wang    


The representation form of most signals in practice is non-stationary signal, and the main analysis methods for these signals are centralized in the field of time frequency (or time scale), and a series of results have been acquired. A reversible transformation method based on time sequence bit is proposed from another angle, and this method can be used to analyze non-stationary wide-band noise signals according to the difference of some characters of noises and speech signals (such as the randomness degree). The experiment result indicates that this method can reversibly convert random sequences with unordered time sequence into approximately ordered time sequences, and the difference between the wide-band noise character and the speech character is relatively obvious. The method and the principle are simple, and the algorithm can be easily realized real time.

This work is licensed under a Creative Commons Attribution 4.0 License.
  • ISSN(Print): 1913-8989
  • ISSN(Online): 1913-8997
  • Started: 2008
  • Frequency: quarterly

Journal Metrics

WJCI (2020): 0.439

Impact Factor 2020 (by WJCI): 0.247

Google Scholar Citations (March 2022): 6907

Google-based Impact Factor (2021): 0.68

h-index (December 2021): 37

i10-index (December 2021): 172

(Click Here to Learn More)