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math.ST2020
Error analysis for denoising smooth modulo signals on a graph
Hemant Tyagi
In many applications, we are given access to noisy modulo samples of a smooth function with the goal being to robustly unwrap the samples, i.e., to estimate the original samples of…
math.ST2020★ 2 cited
Denoising modulo samples: k-NN regression and tightness of SDP relaxation
Michaël Fanuel, Hemant Tyagi
Many modern applications involve the acquisition of noisy modulo samples of a function , with the goal being to recover estimates of the original samples of . For a Lipschitz…