Ivan Selesnick is a Professor in the Electrical and Computer Engineering Department of NYU Tandon School of Engineering. His research interests are in digital signal processing, sparsity in signal processing, and wavelet-based signal/image/video processing. His recent research focuses on using sparse signal representations and approximations to develop new methods for filtering, signal separation, deconvolution, etc. He has also recently worked on the design, implementation, and applications of new oriented multi-dimensional wavelet transforms; and on the development of non-Gaussian probability models for statistical signal processing.
Books Authored by Ivan Selesnick
Post date: 09 Aug 2017
This book focuses on the discrete Fourier transform (DFT), discrete convolution, and, particularly, the fast algorithms to calculate them.
This book focuses on the discrete Fourier transform (DFT), discrete convolution, and, particularly, the fast algorithms to calculate them.
Publisher:
Connexions
Publication date: 18 Nov 2012
License: Creative Commons Attribution 3.0 Unported
Document Type: Book
Publication date: 18 Nov 2012
License: Creative Commons Attribution 3.0 Unported
Document Type: Book
Post date: 09 Aug 2017This book focuses on the discrete Fourier transform (DFT), discrete convolution, and, particularly, the fast algorithms to calculate them.
Publisher:
Connexions
Publication date: 18 Nov 2012
License: Creative Commons Attribution 3.0 Unported Document Type: Book
Publication date: 18 Nov 2012
License: Creative Commons Attribution 3.0 Unported Document Type: Book
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