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                  <mods:namePart>Quiroga Mellado, Juan Antonio</mods:namePart>
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                  <mods:namePart>Servín Guirado, Manuel</mods:namePart>
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                  <mods:namePart>Estrada, Julio César</mods:namePart>
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                  <mods:namePart>Vargas Balbuena, Javier</mods:namePart>
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               <mods:abstract>In phase sampling interferometry, existing temporal analysis methods are sensitive to border effects and cannot deal with missing data. In this work we propose a quadrature filter that allows a reliable dynamic phase measurement for every sample, even in the cases involving few samples or missing data. The method is based on the use of a regularized least squares cost function that enforces the quadrature character of the filter. A comparison with existing techniques shows the effectiveness of the proposed method.</mods:abstract>
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