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ISBI
2009
IEEE
13 years 11 months ago
Performance Evaluation of Accelerated Functional MRI Acquisition Using Compressed Sensing
Functional MRI (fMRI) has been widely accepted as a standard tool to study the function of brain. However, because of the limited temporal resolution of MR scanning, researchers h...
Hong Jung, Jong Chul Ye
ICASSP
2009
IEEE
13 years 11 months ago
Accelerated 3D MRI of vocal tract shaping using compressed sensing and parallel imaging
3D MRI of the upper airway has provided valuable insights into vocal tract shaping and data for the modeling of speech production. Small movements of articulators can lead to larg...
Yoon-Chul Kim, Shrikanth S. Narayanan, Krishna S. ...
ICASSP
2011
IEEE
12 years 8 months ago
Ambiguity functions of compressively sensed and processed radar waveforms
Compressive sensing and processing delivers high resolution data using reduced sampling rates and computational effort compared to Nyquist sensing and processing. Compressive proc...
Ioannis Kyriakides
ICASSP
2011
IEEE
12 years 8 months ago
Combined compressed sensing and parallel mri compared for uniform and random cartesian undersampling of K-space
Both compressed sensing (CS) and parallel imaging effectively reconstruct magnetic resonance images from undersampled data. Combining both methods enables imaging with greater und...
Daniel S. Weller, Jonathan R. Polimeni, Leo Grady,...
CORR
2011
Springer
259views Education» more  CORR 2011»
12 years 12 months ago
The Pros and Cons of Compressive Sensing for Wideband Signal Acquisition: Noise Folding vs. Dynamic Range
Compressive sensing (CS) exploits the sparsity present in many common signals to reduce the number of measurements needed for digital acquisition. With this reduction would come, ...
Mark A. Davenport, Jason N. Laska, John R. Treichl...