Title :
Adaptive wavelet thresholding for time varying SNR signal denoising
Author :
Guangming, Shi ; Xiaoping, Li ; Licheng, Jiao ; Wei, Zhao
Author_Institution :
Nat. Key Lab. for Radar Signal Process., Xidian Univ., Xi´´an, China
Abstract :
The wavelet transform has become a powerful tool for signal analysis and is widely used in many applications, including signal detection and denoising. This paper deals with signal detection and denoising using wavelet transforms for a class of time varying signal-to-noise-ratio (SNR) signals in B-type ultrasonic echoes. A new threshold estimator is proposed in order to enhance the SNR in time varying signals. With the estimator used on real B-type ultrasonic echo data, the results show that the proposed estimator is superior to the existing threshold estimator in SNR enhancement.
Keywords :
acoustic noise; acoustic signal detection; acoustic signal processing; adaptive signal processing; time-varying systems; ultrasonic applications; wavelet transforms; B-type ultrasonic echoes; SNR enhancement; adaptive wavelet thresholding; signal analysis tools; signal detection; signal-to-noise-ratio; threshold estimator; time varying SNR signal denoising; wavelet transforms; Acoustic noise; Filtering; Noise reduction; Signal analysis; Signal denoising; Signal processing; Signal to noise ratio; Wavelet analysis; Wavelet domain; Wavelet transforms;
Conference_Titel :
Circuits and Systems, 2002. ISCAS 2002. IEEE International Symposium on
Print_ISBN :
0-7803-7448-7
DOI :
10.1109/ISCAS.2002.1010585
