Wavelet Denoising of NMR Signal Using QMF Filter Bank Designed by Remez Algorithm

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