ICAR Research Data Repository for Knowledge Management
DSpace at IIT Bombay
View Archive InfoMetadata
| Field | Value |
| Title | A new scale adaptive wavelet thresholding method for denoising using chi-square test statistic |
| Names |
DAS, A
DESAI, UB VAIDYA, PP |
| Date Issued | 2002 (iso8601) |
| Abstract | In this paper we develop a new scale adaptive scheme of wavelet thresholding for noise removal. The method uses chi-square test statistics (CTS) to discriminate between noise and signal among the wavelet coefficients. The scheme uses CTS as a ruler to measure the similarity between the statistical model and the true distribution of noise. The basic philosophy of the proposed method is similar to a recursive hypothesis testing procedure. We demonstrate this method by denoising signals corrupted with additive zero-mean Gaussian noise. |
| Genre | Article |
| Topic | Gaussian Noise |
| Identifier | Proceedings of the 9th International Conference on Electronics, Circuits and Systems (V 3), Dubrovnik, Croatia, 15-18 September 2002, 859-862 |