Enhanced covariance spectroscopy from minimal datasets.

A novel approach is described for the determination of reliable high-resolution homonuclear NMR covariance spectra from minimal datasets. It uses a sparse sampling scheme along the indirect dimension together with a comprehensive analysis of finite sampling effects that eliminates spurious correlations. The scheme, which is demonstrated for TOCSY and COSY, offers a substantial speed up over current methods, rendering it suitable for high-throughput screening applications.