Speech Enhancement Techniques for Digital Hearing Aids 2018
DOI: 10.1007/978-3-319-96821-6_4
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Fourier Transform, Short-Time Fourier Transform, and Wavelet Transform

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Cited by 8 publications
(5 citation statements)
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“…In 3 , feature extraction methods have been analysed in three categories: spectral estimation methods, family of transforms, and time decomposition methods. In spectral estimation methods the Welch method is one of the most popular ones 30 , while in the family of transforms methods 31 , 32 , Fourier transform (FT), STFT, continuous wavelet transform (CWT), DWT and wavelet packet decomposition (WPD) should be mentioned. In the time decomposition methods, empirical mode decomposition (EMD) 33 is the most characteristic example.…”
Section: Related Workmentioning
confidence: 99%
“…In 3 , feature extraction methods have been analysed in three categories: spectral estimation methods, family of transforms, and time decomposition methods. In spectral estimation methods the Welch method is one of the most popular ones 30 , while in the family of transforms methods 31 , 32 , Fourier transform (FT), STFT, continuous wavelet transform (CWT), DWT and wavelet packet decomposition (WPD) should be mentioned. In the time decomposition methods, empirical mode decomposition (EMD) 33 is the most characteristic example.…”
Section: Related Workmentioning
confidence: 99%
“…This paper presents wavelets outside of the digital signal processing area to the technical person concerned. Starting with Fourier, we explain the background of wavelets, Compare wavelet transformations with Fourier transformations, state characteristics and other special wavelet aspects, and finish with some interesting applications such as compression of images, musical tones, and noisy data de-noising [27,28].…”
Section: Wavelet Transformmentioning
confidence: 99%
“…The wavelet transform is different from another famous transform called Short Time Fourier Transform (STFT) [48,[62][63][64][65]. The main difference is that the window size in STFT is fixed, whereas in the WT the window size (a) is changing.…”
Section: Chapter 1: Introductionmentioning
confidence: 99%
“…The main difference is that the window size in STFT is fixed, whereas in the WT the window size (a) is changing. STFT sometimes is called the windowed Fourier transform since it is similar to the Fourier transform (FT) except for the fact that the window size in FT is infinity [64,65].…”
Section: Chapter 1: Introductionmentioning
confidence: 99%
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