Regular biography
Ivan Selesnick is a Professor of Electrical and Computer Engineering and Biomedical Engineering at NYU Tandon. His research focuses on signal processing, wavelet transforms, and biomedical signal analysis. He has contributed significantly to the development of wavelet-based methods for signal and image processing, including the dual-tree complex wavelet transform and tunable Q-factor wavelet transforms. His work has been published in leading journals and conferences, and he is affiliated with the Center for Advanced Technology in Telecommunications (CATT).
Scholar-generated biography
Ivan Selesnick is a researcher in signal processing with a focus on wavelet transforms and their applications. His work explores advanced signal analysis techniques, including dual-tree complex wavelet transforms, bivariate shrinkage functions, and sparse regularization methods. He has contributed to signal denoising, video processing, and biomedical signal analysis through innovative approaches that leverage sparsity and convex optimization. His research also includes the design of FIR filters and the development of signal decomposition methods for improved signal restoration. Selesnick's publications highlight the utility of wavelet-based techniques in various domains, such as SAR imaging and fault diagnosis.