Sampling theorems and error estimates for random signals in the linear canonical transform domain

The linear canonical transform (LCT) plays an important role in optical and digital signal processing. Over the past few decades, there has been a vast amount of research on sampling theorems for a deterministic signal bandlimited in the LCT domain. However, signals are usually random in practical situations. Hence in this paper, we study sampling theorems for a random signal bandlimited in the LCT domain. We first construct a random signal theoretic framework in the LCT domain, such as the LCT power spectral density and the LCT auto-correction function. Then, we formulate uniform sampling theorem and multi-channel sampling theorem for a random signal bandlimited in the LCT domain. Finally, we analyze two kinds of reconstruction error estimates for uniformly sampling a random signal in the LCT domain: aliasing error and truncation error. (C) 2014 Elsevier B.V. All rights reserved.