Improved wavelet threshold function denoising method based on Teager energy operator

An energy operator and wavelet threshold technology, applied in complex mathematical operations, speech analysis, instruments, etc., can solve problems such as difficult to reflect the non-stationary characteristics and correlation of signals, loss of useful information from signals, and excessive denoising. Pseudo-Gibbs effect, improved denoising, improved SNR

Active Publication Date: 2018-06-29
CHONGQING UNIV OF POSTS & TELECOMM
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Problems solved by technology

The disadvantage of these methods is that it is difficult to reflect the non-stationary characteristics and correlation of the signal while removing the noise.
The hard threshold and soft threshold denoising methods proposed by Donoho and Johnstone have been widely used in practice and have achieved good results, but the discontinuity of the hard threshold function makes the reconstructed signal prone to false Gibbs effects; Although the so

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  • Improved wavelet threshold function denoising method based on Teager energy operator
  • Improved wavelet threshold function denoising method based on Teager energy operator
  • Improved wavelet threshold function denoising method based on Teager energy operator

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[0048] The technical solutions in the embodiments of the present invention will be described clearly and in detail below with reference to the drawings in the embodiments of the present invention. The described embodiments are only some of the embodiments of the invention.

[0049] The technical scheme that the present invention solves the problems of the technologies described above is:

[0050] Such as figure 1 As shown, the present invention provides a kind of improved threshold function denoising method based on Teager energy operator, it is characterized in that, comprises the following steps:

[0051]S1, use CoolEditPro to collect a section of speech signal, and add noise with different signal-to-noise ratios to the collected speech signal to obtain a noisy speech signal;

[0052] S2, carry out the calculation of Teager energy operator to each layer wavelet decomposition coefficient that step S2 obtains, obtain the TEO value of wavelet decomposition coefficient; (concr...

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Abstract

The invention claims for protecting an improved wavelet threshold function denoising method based on a Teager energy operator, relating to the field of voice signal denoising. According to the method,for a wavelet coefficient after wavelet decomposition, the calculation for the Teager energy operator is carried out, the differences between noises and the signal wavelet coefficient are increased,and thus the self-adaption selection for the threshold is facilitated; by improving a soft and hard threshold denoising function, a novel threshold function is provided, the function can overcome thePseudo-Gibbs effect caused by the discontinuity of the hard threshold function, and also can overcome the constant deviation problem occurring after soft threshold function denoising. With the methodprovided by the invention, the signal to noise ratio and the mean square error are greatly improved.

Description

technical field [0001] The invention belongs to the field of voice signal denoising, in particular to an improved wavelet threshold function denoising method based on a Teager energy operator. Background technique [0002] Speech signals usually contain noise in the process of acquisition or transmission, which seriously affects the follow-up work of signal processing and analysis. Therefore, the denoising of speech signals has become the most basic and important work in the field of signal processing. [0003] Traditional denoising methods mainly include linear filtering and nonlinear filtering, such as median filtering, Wiener filtering and Kalman filtering. The disadvantage of these methods is that it is difficult to reflect the non-stationary characteristics and correlation of the signal while removing the noise. In recent years, wavelet transform has been widely used in signal denoising processing due to its multi-resolution characteristics. It can show good signal lo...

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Application Information

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IPC IPC(8): G10L21/0208G06F17/15
CPCG06F17/15G10L21/0208
Inventor 罗元谭琴张毅
Owner CHONGQING UNIV OF POSTS & TELECOMM
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