Covariance estimation under one-bit quantization
Author:
Affiliation:
1. Mathematical Institute, Utrecht University
2. Department of Mathematics, Ludwig Maximilian University of Munich
3. Chair for Mathematics of Information Processing, RWTH Aachen University
Publisher
Institute of Mathematical Statistics
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Reference51 articles.
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2. APOSTOL, T. M. (2013). Introduction to Analytic Number Theory. Springer, New York.
3. BAR-SHALOM, O. and WEISS, A. J. (2002). DOA estimation using one-bit quantized measurements. IEEE Trans. Aerosp. Electron. Syst. 38 868–884.
4. BARANIUK, R. G., FOUCART, S., NEEDELL, D., PLAN, Y. and WOOTTERS, M. (2017). Exponential decay of reconstruction error from binary measurements of sparse signals. IEEE Trans. Inf. Theory 63 3368–3385.
5. CAI, T. T., REN, Z. and ZHOU, H. H. (2013). Optimal rates of convergence for estimating Toeplitz covariance matrices. Probab. Theory Related Fields 156 101–143.
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