FFT optimization algorithm and realization of MATLAB

Chang Cui; Qiang Zhao

doi:10.1117/12.2030711

19 July 2013 FFT optimization algorithm and realization of MATLAB

Chang Cui, Qiang Zhao

Proceedings Volume 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013); 88784B (2013) https://doi.org/10.1117/12.2030711
Event: Fifth International Conference on Digital Image Processing, 2013, Beijing, China

Abstract

In order to realize the FFT algorithm more flexibly and effectively, this paper analyzed four kinds of amplitude spectrum or power spectrum correction methods, that is, ratio correction method, energy centrobaric correction method, phase difference method and FFT + FT spectrum analysis method. On this basis, a double-window function spectrum estimation algorithm was introduced, which was a kind of conjoint analysis algorithm with rectangular window function and improved window function. The algorithm could improve the amplitude estimation accuracy in the case of not reducing the frequency resolution. The effectiveness of this algorithm was proved by using MATLAB software. The simulation results show that the double-window function spectrum estimation algorithm significantly decreases the amplitude estimation error brought by the picket fence effect, and realizes the optimization of FFT algorithm.

Citation Download Citation

Chang Cui and Qiang Zhao "FFT optimization algorithm and realization of MATLAB", Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 88784B (19 July 2013); https://doi.org/10.1117/12.2030711

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available