JOURNAL ARTICLE

Research of signal denoising method on an improved wavelet threshold

Chengbo YuHuafeng QinZhang Lian

Year: 2007 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 6794 Pages: 67941E-67941E   Publisher: SPIE

Abstract

Based on the Multi-analysis wavelet threshold denosing method which is put forward by D. L. Dohono and I. M. Johnstone, a new threshold function is posed. This new threshold function has many advantages over the classical soft and hard threshold function. It is clear in physics meaning and simple in expression. The experimental results show that this improved method is effective in removing white noise, and gives better RMSE performance and SNR gains than soft and hard threshold methods, and makes it possible to embody the advantages of the wavelet threshold denoising method more fully.

Keywords:
Wavelet Noise reduction White noise Computer science Signal-to-noise ratio (imaging) Function (biology) Noise (video) Algorithm Pattern recognition (psychology) Artificial intelligence Simple (philosophy) Additive white Gaussian noise Telecommunications Image (mathematics)

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Topics

Advanced Algorithms and Applications
Physical Sciences →  Engineering →  Control and Systems Engineering
Advanced Sensor and Control Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Advanced Measurement and Detection Methods
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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