Correction to “Revisiting aliasing noise to build more robust sparsity in nonuniform sampling 2D-NMR”

Cullen, L. E., Marchiori, A., Rovnyak, D., Magn Reson Chem 2023, 61(9-10), 337. https://doi.org/10.1002/mrc.5340

Figure S1 The convolutional filter developed in this work is illustrated schematically and then applied to a conservative 50% NUS schedule (512/1024, quantile qsin x = 2, e = 2). In (a), the general algorithm is summarized where a given schedule is expanded and gaps are zero-filled, while integer values in the sampling schedule are set to 1; a short filter sequence constituting a repeating pattern is convolved across the NUS sampling schedule. Metrics developed to characterize the repeat sequences are the (b) convolutional score histogram (CSH), displaying convolutional scores for given repeat sequences, and (c) the repeat length curve (RLC) which demonstrates the lengths and frequencies of a single repeat type in a schedule. The example in this figure means that there are 14 isolated occurrences of the test sequence, and only one tract that has four consecutive instances of the filter sequence. Note: A prior version of the Supporting Information contained a typo in panel (a), which is corrected here.

We apologize for this error.