Aliasing Artefact Suppression in Compressed Sensing MRI for Random Phase-Encode Undersampling

2015 ◽  
Vol 62 (9) ◽  
pp. 2215-2223 ◽  
Author(s):  
Yang Yang ◽  
Feng Liu ◽  
Zhaoyang Jin ◽  
Stuart Crozier
Keyword(s):  
Compressed Sensing ◽  
Random Phase ◽  
Phase Encode

scholarly journals MIMO SAR Imaging for Wide-Swath Based on Compressed Sensing

2017 ◽  
Vol 2017 ◽  
pp. 1-13
Author(s):  
Feng Liu ◽  
Shanxiang Mu ◽  
Wanghan Lv
Keyword(s):  
Compressed Sensing ◽  
Random Phase ◽  
Zero Point ◽  
Compressive Sampling ◽  
Hardware Complexity ◽  
Range Imaging ◽  
Digital Beamforming ◽  
Range Ambiguity ◽  
Sar Imaging ◽  
Wide Swath

To reduce the amount of data to be stored and software/hardware complexity and suppress range ambiguity, a novel MIMO SAR imaging based on compressed sensing is proposed under the condition of wide-swath imaging. Random phase orthogonal waveform (RPOW) is designed for MIMO SAR based on compressed sensing (CS). Echo model of sparse array in range and compressive sampling is reconstructed with CS theory. Resolution in range imaging is improved by using the techniques of digital beamforming (DBF) in transmit. Zero-point technique based on CS is proposed with DBF in receive and the range ambiguity is suppressed effectively. Comprehensive numerical simulation examples are performed. Its validity and practicality are validated by simulations.

scholarly journals Color image encryption based on chaotic compressed sensing and two-dimensional fractional Fourier transform

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Xingyuan Wang ◽  
Yining Su
Keyword(s):  
Fourier Transform ◽  
Compressed Sensing ◽  
Image Encryption ◽  
Fractional Fourier Transform ◽  
Color Image ◽  
Random Phase ◽  
Phase Mask ◽  
Two Dimensional ◽  
Measurement Matrix ◽  
Color Image Encryption

Abstract Combining the advantages of structured random measurement matrix and chaotic structure, this paper introduces a color image encryption algorithm based on a structural chaotic measurement matrix and random phase mask. The Chebyshev chaotic sequence is used in the algorithm to generate the flip permutation matrix, the sampling subset and the chaotic cyclic matrix for constructing the structure perceptual matrix and the random phase mask. The original image is compressed and encrypted simultaneously by compressed sensing, and re-encrypted by two-dimensional fractional Fourier transform. Simulation experiments show the effectiveness and reliability of the algorithm.

Étude de la formation de couches organiques auto assemblées à l'aide de la spectroscopie d'impédance électrochimique "odd random phase multisine"

2007 ◽  
Vol 95 ◽  
pp. 411-415
Author(s):  
T. Hauffman ◽  
J.-B. Jorcin ◽  
Y. V. Ingelgem ◽  
T. Breugelmans ◽  
E. Tourwe ◽  
...  
Keyword(s):  
Random Phase
Sign in / Sign up

Export Citation Format

Share Document