2011•Modern Electronics TechniqueRequires access

Application of Window-length-adaptive STFT Algorithm Based on Information Entropy in AFVISAR

Xiaofeng Meng

Open publisher page 0 citations

Abstract

Instantaneous frequency estimation was performed on the output signal of all-fiber velocity interferometer for any reflector(AFVISAR) with short-time Fourier transform(STFT),the time-frequency resolution couldn′t be changed according to the signal characteristics because of the fixed window-length.To solve this problem,a window-length-adaptive STFT algorithm based on information entropy is presented.The simulation results indicate that this algorithm can balance the time resolution and frequency resolution based on the signal characteristics effectively,and improve accuracy of the instantaneous frequency estimation.

About this research paper

What this paper is about

Instantaneous frequency estimation was performed on the output signal of all-fiber velocity interferometer for any reflector(AFVISAR) with short-time Fourier transform(STFT),the time-frequency resolution couldn′t be changed according to the signal characteristics because of the fixed window-length.To solve this problem,a window-length-adaptive STFT algorithm based on information entropy is presented.The simulation results indicate that this algorithm can balance the time resolution and frequency resolution based on the signal characteristics effectively,and improve accuracy of the instantaneous frequency estimation.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Instantaneous frequency estimation was performed on the output signal of all-fiber velocity interferometer for any reflector(AFVISAR) with short-time Fourier transform(STFT),the time-frequency resolution couldn′t be changed according to the signal characteristics because of the fixed window-length.To solve this problem,a window-length-adaptive STFT algorithm based on information entropy is presented.The simulation results indicate that this algorithm can balance the time resolution and frequency resolution based on the signal characteristics effectively,and improve accuracy of the instantaneous frequency estimation.

Key concepts: Short-time Fourier transform, Algorithm, Fourier transform, Spectral density estimation, Computer science, Instantaneous phase, SIGNAL (programming language), Entropy (arrow of time)

Related papers

Back to paper searchBrowse research topicsOriginal source
Application of Window-length-adaptive STFT Algorithm Based on Information Entropy in AFVISAR — Research Paper | ScholarLens