Publication

Cross-correlated relaxation in NMR of macromolecules in the presence of fast and slow internal dynamics

Geoffrey Bodenhausen
2004
Journal Articles

Abstract

We present an anal. of correlation and spectral d. functions involved in autorelaxation and cross-correlated relaxation in the magnetic resonance of macromols. Internal dynamics of the macromol. are described in terms of 2 distinct fluctuation processes with different, slow and fast, correlation times. The approach developed in this work takes into account the possible coupling between both fluctuating internal processes. [on SciFinder (R)]

Official source

Graph Chat

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Geoffrey Bodenhausen
2004
Journal Articles

Abstract

Official source

Related concepts (32)

Nuclear magnetic resonance

Nuclear magnetic resonance (NMR) is a physical phenomenon in which nuclei in a strong constant magnetic field are perturbed by a weak oscillating magnetic field (in the near field) and respond by producing an electromagnetic signal with a frequency characteristic of the magnetic field at the nucleus. This process occurs near resonance, when the oscillation frequency matches the intrinsic frequency of the nuclei, which depends on the strength of the static magnetic field, the chemical environment, and the magnetic properties of the isotope involved; in practical applications with static magnetic fields up to ca.

Cross-correlation

In signal processing, cross-correlation is a measure of similarity of two series as a function of the displacement of one relative to the other. This is also known as a sliding dot product or sliding inner-product. It is commonly used for searching a long signal for a shorter, known feature. It has applications in pattern recognition, single particle analysis, electron tomography, averaging, cryptanalysis, and neurophysiology. The cross-correlation is similar in nature to the convolution of two functions.

Pearson correlation coefficient

In statistics, the Pearson correlation coefficient (PCC) is a correlation coefficient that measures linear correlation between two sets of data. It is the ratio between the covariance of two variables and the product of their standard deviations; thus, it is essentially a normalized measurement of the covariance, such that the result always has a value between −1 and 1. As with covariance itself, the measure can only reflect a linear correlation of variables, and ignores many other types of relationships or correlations.

Related publications (32)

Cross-correlated relaxation in NMR of macromolecules in the presence of fast and slow internal dynamics

Chat with Graph Search

Combined caLculation of Ultra‐high field Biases (CLUB ) With Sandwich: Fast, Simultaneous Estimation of 3D B 0 and Multi‐Channel B 1 + Maps at 7 T

More severe joint disease and lower patient oxygenation are associated with less corrosive in vivo synovial fluid in patients with knee osteoarthritis

Two-dimensional magnetic materials from first principles