scholarly journals Noise Reduction in White Light Lidar Signal Using a One-Dim and Two-Dim Daubechies Wavelet Shrinkage Method

2013 ◽  
Vol 02 (01) ◽  
pp. 10-15 ◽  
Author(s):  
Toshihiro Somekawa ◽  
Maria Cecilia D. Galvez ◽  
Masayuki Fujita ◽  
Edgar A. Vallar ◽  
Chihiro Yamanaka
Keyword(s):  
Noise Reduction ◽  
White Light ◽  
Daubechies Wavelet ◽  
Lidar Signal ◽  
Wavelet Shrinkage ◽  
Shrinkage Method

Implementation of noise reduction for PET using hybrid nonlinear wavelet shrinkage method

2007 ◽  
Author(s):  
Akihiro Ishikawa ◽  
Keishi Kitamura ◽  
Tetsuro Mizuta ◽  
Kazumi Tanaka ◽  
Masaharu Amano ◽  
...  
Keyword(s):  
Noise Reduction ◽  
Wavelet Shrinkage ◽  
Shrinkage Method

Denoising of Biological Signals using a New Wavelet Shrinkage Method

2008 ◽  
Author(s):  
V.V.K.D.V. Prasad ◽  
P. Siddaiah ◽  
B. Prabhakara Rao
Keyword(s):  
Wavelet Shrinkage ◽  
Biological Signals ◽  
Shrinkage Method

Noise Reduction in Lidar Signal Based on Wavelet Packet Analysis

2011 ◽  
Vol 38 (2) ◽  
pp. 0209001 ◽  
Author(s):  
毛建东 Mao Jiandong ◽  
华灯鑫 Hua Dengxin ◽  
王玉峰 Wang Yufeng ◽  
汪丽 Wang Li
Keyword(s):  
Noise Reduction ◽  
Wavelet Packet ◽  
Lidar Signal ◽  
Wavelet Packet Analysis

scholarly journals Combined range ambiguity resolution and noise reduction in lidar signal processing

2018 ◽  
Vol 57 (07) ◽  
pp. 1 ◽  
Author(s):  
Gunnar Arisholm ◽  
Torbjørn Skauli ◽  
Stig Landrø
Keyword(s):  
Signal Processing ◽  
Noise Reduction ◽  
Ambiguity Resolution ◽  
Lidar Signal ◽  
Range Ambiguity

A Comparison of Psychoacoustical Evaluation Methods for Vehicle Engine Noises Based on Wavelet Shrinkage Denoising Technique

2011 ◽  
Vol 219-220 ◽  
pp. 93-97 ◽  
Author(s):  
Yan Song Wang ◽  
Yue Yan ◽  
Zhi Qiu ◽  
Jin Zhang
Keyword(s):  
Sound Pressure Level ◽  
Sound Pressure ◽  
Quality Evaluation ◽  
Sound Quality ◽  
Pressure Level ◽  
Signal Denoising ◽  
Subjective Feeling ◽  
Wavelet Shrinkage ◽  
Vehicle Engine ◽  
Shrinkage Method

Based on the measured and denoised vehicle engine noises, the sound quality evaluation (SQE) techniques in common use for A-weighting sound pressure level (SPL) and psychoacoustical parameters, such as loudness, sharpness and roughness, are performed and compared in this paper. The wavelet threshold shrinkage method is adopted for sound signal denoising. The comparisons suggest that the A-weighting SPL is not sufficient and can only be used as a reference in vehicle SQE, the psychoacoustical parameters can provide a complete description and more exactly reflect to the subjective feeling of vehicle noises, should be considered in vehicle designs.

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