Title :
An improved warped DFT algorithm based on signal sparse representation
Author :
Jian Zhou ; Chenyang Cui ; Guofeng Zhu ; Yaguang Ding ; Liang Tao
Author_Institution :
Sch. of Comput. Sci. & Technol., Anhui Univ., Hefei, China
Abstract :
Warped Discrete Fourier Transform(WDFT) offers an alternative to increase frequency resolution at any selected parts of spectral axis without extending the number of sampling points. In order to have a stable and robust spectrum, the warp coefficient must be selected carefully, and this is not allowd in many applications, such as speech processing, since the warp coefficient is computed by human auditory principle. Inspired by sparse signal representation theory, we propose a WDFT algorithm based on matching pursuit methodology. The experimental results show that a better warp spectrum representation and a better signal reconstruction performance are got when the number of basic signal is more than the length of signal. It is more suitable for perceptual speech processing than ordinary WDFT.
Keywords :
discrete Fourier transforms; signal reconstruction; signal representation; speech processing; WDFT algorithm; human auditory principle; matching pursuit methodology; robust spectrum; signal reconstruction performance; signal sparse representation; sparse signal representation theory; speech processing; warp coefficient; warp spectrum representation; warped DFT algorithm; warped discrete Fourier transform; Algorithm design and analysis; Discrete Fourier transforms; Matching pursuit algorithms; Signal processing algorithms; Signal reconstruction; Speech; Speech processing; Matching Pursuit; Signal Reconstruction; Warped Discrete Fourier Transform;
Conference_Titel :
Computer Science & Education (ICCSE), 2011 6th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-9717-1
DOI :
10.1109/ICCSE.2011.6028642