<h1>Liu, Chun-Lin</h1>
<h2>Article from <a href="https://authors.library.caltech.edu">CaltechAUTHORS</a></h2>
<ul>
<li>Liu, Chun-Lin and Vaidyanathan, P. P. (2020) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20200131-154057752">Novel Algorithms for Analyzing the Robustness of Difference Coarrays to Sensor Failures</a>; Signal Processing; Vol. 171; Art. No. 107517; <a href="https://doi.org/10.1016/j.sigpro.2020.107517">10.1016/j.sigpro.2020.107517</a></li>
<li>Liu, Chun-Lin and Vaidyanathan, P. P. (2019) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20190425-131914048">Robustness of Difference Coarrays of Sparse Arrays to Sensor Failures - Part II: Array Geometries</a>; IEEE Transactions on Signal Processing; Vol. 67; No. 12; 3227-3242; <a href="https://doi.org/10.1109/TSP.2019.2912877">10.1109/TSP.2019.2912877</a></li>
<li>Liu, Chun-Lin and Vaidyanathan, P. P. (2019) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20190426-105059411">Robustness of Difference Coarrays of Sparse Arrays to Sensor Failures - Part I: A Theory Motivated by Coarray MUSIC</a>; IEEE Transactions on Signal Processing; Vol. 67; No. 12; 3213-3226; <a href="https://doi.org/10.1109/TSP.2019.2912882">10.1109/TSP.2019.2912882</a></li>
<li>Liu, Chun-Lin and Vaidyanathan, P. P. (2017) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20170705-151126529">Correlation Subspaces: Generalizations and Connection to Difference Coarrays</a>; IEEE Transactions on Signal Processing; Vol. 65; No. 19; 5006-5020; <a href="https://doi.org/10.1109/TSP.2017.2721915">10.1109/TSP.2017.2721915</a></li>
<li>Liu, Chun-Lin and Vaidyanathan, P. P. (2017) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20170405-151504238">Hourglass Arrays, and Other Novel 2-D Sparse Arrays with Reduced Mutual Coupling</a>; IEEE Transactions on Signal Processing; Vol. 65; No. 13; 3369-3383; <a href="https://doi.org/10.1109/TSP.2017.2690390">10.1109/TSP.2017.2690390</a></li>
<li>Liu, Chun-Lin and Vaidyanathan, Palghat (2017) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20170620-133144745">Hourglass arrays: Planar sparse arrays with hole-free coarrays and reduced mutual coupling</a>; Journal of the Acoustical Society of America; Vol. 141; No. 5; Art. No. 3842; <a href="https://doi.org/10.1121/1.4988557">10.1121/1.4988557</a></li>
<li>Liu, Chun-Lin and Vaidyanathan, P. P. (2017) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20170216-084233440">Cramér–Rao bounds for coprime and other sparse arrays, which find more sources than sensors</a>; Digital Signal Processing; Vol. 61; 43-61; <a href="https://doi.org/10.1016/j.dsp.2016.04.011">10.1016/j.dsp.2016.04.011</a></li>
<li>Liu, Chun-Lin and Vaidyanathan, P. P. (2016) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20160502-154806504">Super Nested Arrays: Linear Sparse Arrays with Reduced Mutual Coupling - Part II: High-Order Extensions</a>; IEEE Transactions on Signal Processing; Vol. 64; No. 16; 4203-4217; <a href="https://doi.org/10.1109/TSP.2016.2558167">10.1109/TSP.2016.2558167</a></li>
<li>Liu, Chun-Lin and Vaidyanathan, P. P. (2016) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20160502-153525515">Super Nested Arrays: Linear Sparse Arrays with Reduced Mutual Coupling - Part I: Fundamentals</a>; IEEE Transactions on Signal Processing; Vol. 64; No. 15; 3997-4012; <a href="https://doi.org/10.1109/TSP.2016.2558159">10.1109/TSP.2016.2558159</a></li>
<li>Pei, Soo-Chang and Liu, Chun-Lin, el al. (2016) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20160603-091929213">Discrete Laguerre Gaussian Transforms and Their Applications</a>; IEEE Transactions on Signal Processing; Vol. 64; No. 12; 3156-3166; <a href="https://doi.org/10.1109/TSP.2016.2537275">10.1109/TSP.2016.2537275</a></li>
<li>Liu, Chun-Lin and Vaidyanathan, P. P. (2015) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20150317-074438744">Remarks on the Spatial Smoothing Step in Coarray MUSIC</a>; IEEE Signal Processing Letters; Vol. 22; No. 9; 1438-1442; <a href="https://doi.org/10.1109/LSP.2015.2409153">10.1109/LSP.2015.2409153</a></li>
</ul>