Linda S. DeBrunner
About
Linda S. DeBrunner has authored 33 papers that have received a total of 168 indexed citations.
This includes 25 papers in Signal Processing, 14 papers in Computer Vision and Pattern Recognition and 11 papers in Computational Theory and Mathematics. The topics of these papers are Digital Filter Design and Implementation (18 papers), Numerical Methods and Algorithms (11 papers) and Image and Signal Denoising Methods (11 papers). Linda S. DeBrunner is often cited by papers focused on Digital Filter Design and Implementation (18 papers), Numerical Methods and Algorithms (11 papers) and Image and Signal Denoising Methods (11 papers) and collaborates with scholars based in United States, Sweden and China. Linda S. DeBrunner's co-authors include Victor DeBrunner, Dayong Zhou, Yunhua Wang, Joseph Havlicek and Oscar Gustafsson and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Communications Surveys & Tutorials and IEEE Signal Processing Magazine
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