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Projection-Based Wavelet Denoising [Lecture Notes]
- Source :
- IEEE Signal Processing Magazine
- Publication Year :
- 2015
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2015.
-
Abstract
- In this lecture note, we describe a wavelet domain denoising method consisting of making orthogonal projections of wavelet (subbands) signals of the noisy signal onto an upside down pyramid-shaped region in a multidimensional space. Each horizontal slice of the upside down pyramid is a diamond shaped region and it is called an -ball. The upside down pyramid is called the epigraph set of the -norm cost function. We show that the method leads to soft-thresholding as in standard wavelet denoising methods. Orthogonal projection operations automatically determine the soft-threshold values of the wavelet signals. © 2015 IEEE.
- Subjects :
- Discrete wavelet transform
Lifting scheme
Computer science
Wavelet denoising method
Stationary wavelet transform
Cascade algorithm
Wavelet analysis
Wavelet packet decomposition
Wavelet
Cost functions
Electrical and Electronic Engineering
Soft threshold
Orthogonal projection
business.industry
Applied Mathematics
Second-generation wavelet transform
Soft thresholding
Wavelet transform
Denoising methods
Pattern recognition
Wavelet denoising
Horizontal slices
Multi-dimensional space
Signal Processing
Artificial intelligence
business
Subjects
Details
- ISSN :
- 10535888
- Volume :
- 32
- Database :
- OpenAIRE
- Journal :
- IEEE Signal Processing Magazine
- Accession number :
- edsair.doi.dedup.....da6373525a2c534708c683c12db96f8c
- Full Text :
- https://doi.org/10.1109/msp.2015.2440051