Compressive Covariance Sensing-Based Power Spectrum Estimation of Real-Valued Signals Subject to Sub-Nyquist Sampling

• Published in: Modelling and Simulation in Engineering Vol. 2021; pp. 1 - 9
• Main Author: Alwan, Nuha A. S.
• Format: Journal Article
• Language: English
• Published: New York Hindawi 2021; John Wiley & Sons, Inc; Wiley
• Subjects: Buildings; Covariance; Methods; Principal components analysis; Random noise; Remodeling, restoration, etc; Signal processing; Sparsity

In this work, an estimate of the power spectrum of a real-valued wide-sense stationary autoregressive signal is computed from sub-Nyquist or compressed measurements in additive white Gaussian noise. The problem is formulated using the concepts of compressive covariance sensing and Blackman-Tukey non...