Even with source code available the read- ability of program sources is often impaired by the complexity of the programming language. Scientific data analysis benefits from precise knowledge about processing algorithms including their individual implementation and thus from access to program sources. Modern NMR data processing must not only keep pace with NMR spectroscopy but also with signal processing algorithms and computer technology. © 2000 Academic Press INTRODUCTION With the fast development of multidimensional NMR spec- troscopy the need for appropriate data processing has grown accordingly. The use of wavelet denoising is demonstrated for one- and two-dimensional data. An interface to WaveLab en- ables spectral denoising employing wavelet transforms. Data processing can be achieved either by scripts or by a user-friendly command structure. To take advantage of fast matrix operations in MAT- LAB most processing commands in NMRLAB have been vector- ized. MATLAB is a matrix-oriented high-level pro- gramming environment which gives access to fast algorithms for a large number of numerical tasks on many common computer platforms. Goethe University, Frankfurt, Institute for Biophysical Chemistry, Biocentre N230, Marie-Curie-Strasse 9, 60439 Frankfurt, Germany Received Augrevised FebruNMRLAB is a toolbox for NMR data processing in MATLAB (The Mathworks). NMRLAB-Advanced NMR Data Processing in Matlab Ulrich L.
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