Phase Correction-Adaptive Line Enhancement for Noise Reduction of Low-Field NMR
نویسندگان
چکیده
منابع مشابه
Phase Correction-Adaptive Line Enhancement for Noise Reduction of Low-Field NMR
The amplitude of low-field nuclear magnetic resonance (NMR) is weak, and the echo is buried in the noise. The reduction of noise is critical to accurately extract echo amplitude. Phase correction-adaptive line enhancement (PC-ALE) is proposed to noise suppression based on the principle of ALE and NMR spin-echo characteristics. The echo amplitude is calculated after two-stage processes; phase sh...
متن کاملAdaptive Noise Reduction Algorithm for Speech Enhancement
In this paper, Least Mean Square (LMS) adaptive noise reduction algorithm is proposed to enhance the speech signal from the noisy speech. In this, the speech signal is enhanced by varying the step size as the function of the input signal. Objective and subjective measures are made under various noises for the proposed and existing algorithms. From the experimental results, it is seen that the p...
متن کاملLow Delay Filter for Adaptive Noise Reduction
A filter structure is proposed which has a significantly lower signal delay than common frequency-domain filtering by means of an analysis-synthesis filter-bank (AS FB). The recently published filter-bank equalizer (FBE) is a filter(-bank) with a lower signal delay compared to the corresponding AS FB. In this contribution, the signal delay of the FBE is further reduced by approximating the time...
متن کاملSpeckle Noise Reduction for the Enhancement of Retinal Layers in Optical Coherence Tomography Images
Introduction One of the most important pre-processing steps in optical coherence tomography (OCT) is reducing speckle noise, resulting from multiple scattering of tissues, which degrades the quality of OCT images. Materials and Methods The present study focused on speckle noise reduction and edge detection techniques. Statistical filters with different masks and noise variances were applied on ...
متن کاملShearlet-Based Adaptive Noise Reduction in CT Images
The noise in reconstructed slices of X-ray Computed Tomography (CT) is of unknown distribution, non-stationary, oriented and difficult to distinguish from main structural information. This requires the development of special post-processing methods based on the local statistical evaluation of the noise component. This paper presents an adaptive method of reducing noise in CT images employing th...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Applied Magnetic Resonance
سال: 2013
ISSN: 0937-9347,1613-7507
DOI: 10.1007/s00723-013-0486-2