Image Denoising by Data Adaptive and Non-Data Adaptive Transform Domain Denoising Method Using EEG Signal-Reference-Cited by-同舟云学术

Image Denoising by Data Adaptive and Non-Data Adaptive Transform Domain Denoising Method Using EEG Signal

Published:2012-11-02 Issue: Volume: Page:9-20
ISSN:2195-271X
Container-title:Proceedings of All India Seminar on Biomedical Engineering 2012 (AISOBE 2012)
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Author:

Roy Vandana,Shukla Shailja

Publisher

Springer India

Link

http://link.springer.com/content/pdf/10.1007/978-81-322-0970-6_2.pdf

Reference8 articles.

1. Geethaa G, Geethalakshmia SN (2012) “Artifact removal from EEG using Spatially constrained independent component analysis and wavelet denoising with otsu’s thresholding technique”, International conference on communication technology and system design 2011, Procedia Engineering 30 (2012) 1064–1071

2. Romo Vázqueza R, Vélez-Péreza H, Rantab R, Louis Dorrb V, Maquinb D, Maillard L (2011) Blind source separation, wavelet denoising and discriminant analysis for EEG artifacts and noise cancelling, Biomedical Signal Processing and Control

3. Walters-Williams J, LiA Y (2011) New Approach to Denoising EEG Signals: Merger of Translation Invariant Wavelet and ICA. Int J Biometrics Bioinform 5(2):130–149

4. Khaparde A, Madhavilath M, Manasa MBL, Anil Babu P, Pradeep Kumar S (2008) FastICA Algorithm for the Separation of Mixed Images. Wseas Trans Sign Proces 4(5):271–277 ISSN: 1790-5052

5. Hyvarinen A, Oja E (1997) A fast fixed point algorithm for independent component analysis. Neural Comput 9(7):1483–1492

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