The problem of reconstructing a π-bandlimited signal f from its quantized samples taken at an irregular sequence of points (t ) arises in oversampled analog-to-digital conversion. The input signal can be reconstructed from the quantized samples (f(t )) by estimating samples (f(n/λ)) , where λ is the average uniform density of the sequence (t ) , assumed here to be greater than one, followed by linear low-pass filtering. We study three techniques for estimating samples (f(n/λ)) from quantized irregular samples (f(t )) , including Lagrangian interpolation, and two other techniques which result in a better overall accuracy of oversampled A/D conversion. k k∈ZZ k k∈ZZ n∈ZZ k k∈ZZ n∈ZZ k k∈ZZ