Wavelet Denoising of NMR Signal Using QMF Filter Bank Designed by Remez Algorithm
|
| Title | Wavelet Denoising of NMR Signal Using QMF Filter Bank Designed by Remez Algorithm |
| Authors | |
| Abstract | The wavelet transform is an up-to-date method for digital signal processing used in many branches of technofogy. One of its applications is the suppression of noise in useful signal. The paper deals with suppressing noise in a signal scanned on the NMR tomograph. The method of sub-band threslholding using the wavelet transform is discussed. This methotd is used in double denoising filtering of an FID signal and an instantaneous frequency signal. Using a filter bank with uniform ripple, designed by the Remez algorithm, is of advantage. |
| Publisher | Faculty of Electrical Engineering and Computer Science |
| Date | 2011-07-07 |
| Source | Advances in Electrical and Electronic Engineering Vol 3, No 2 (2004): June |
| Rights | Authors who publish with this journal agree to the following terms:Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the works authorship and initial publication in this journal.Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journals published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access). |