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ICASSP
2011
IEEE
12 years 10 months ago
Sparse spectral factorization: Unicity and reconstruction algorithms
Spectral factorization is a classical tool in signal processing and communications. It also plays a critical role in X-ray crystallography, in the context of phase retrieval. In t...
Yue M. Lu, Martin Vetterli
TMI
2010
164views more  TMI 2010»
13 years 1 months ago
Robust Reconstruction of MRSI Data Using a Sparse Spectral Model and High Resolution MRI Priors
We introduce a novel algorithm to address the challenges in magnetic resonance (MR) spectroscopic imaging. In contrast to classical sequential data processing schemes, the proposed...
Ramin Eslami, Mathews Jacob
ICASSP
2010
IEEE
13 years 6 months ago
Frame domain signal processing: Framework and applications
Besides basis expansions, frames representations play a key role in signal processing. We thus consider the problem of frame domain signal processing, which is more complex and ch...
Amina Chebira, Matthew Fickus, Martin Vetterli
ICIP
2009
IEEE
14 years 7 months ago
Reconstructing Ft-ir Spectroscopic Imaging Data With A Sparse Prior
Fourier Transform Infrared (FT-IR) spectroscopic imaging is a potentially valuable tool for diagnosing breast and prostate cancer, but its clinical deployment is limited due to lo...
ISBI
2007
IEEE
14 years 1 months ago
Generalized K-T Blast and K-T Sense Using Focuss
According to the recent theory of compressed sensing, accurate reconstruction is possible even from data samples dramatically smaller than Nyquist sampling limit as long as the un...
Hong Jung, Jaeheung Yoo, Jong Chul Ye