https://ogma.newcastle.edu.au/vital/access/ /manager/Index en-au 5 An improved smoothed ℓ⁰ approximation algorithm for sparse representation https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:10121 Wed 11 Apr 2018 17:18:36 AEST ]]> A robust algorithm for joint-sparse recovery https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:7925 Wed 11 Apr 2018 17:00:16 AEST ]]> A sparse recovery method for initial uplink synchronization in OFDMA systems https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:26106 Wed 11 Apr 2018 15:38:44 AEST ]]> A scalable distributed video coder using compressed sensing https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:8761 Wed 11 Apr 2018 15:02:03 AEST ]]> Direction-of-arrival estimation using a mixed ℓ₂,₀ norm approximation https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:10120 Wed 11 Apr 2018 15:01:27 AEST ]]> An L0 norm based method for frequency estimation from irregularly sampled data https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:11579 Wed 11 Apr 2018 14:44:35 AEST ]]> Sparse representations for packetized predictive networked control https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:9215 Wed 11 Apr 2018 13:17:28 AEST ]]> Coherent spectral analysis of asynchronously sampled signals https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:17784 0 -norm and the resulting algorithm can be implemented using a few FFTs and IFFTs. We demonstrate the effectiveness of the sparse recovery approach using simulation experiments. In particular, the ℓ ₂,0 approximation approach is very fast. In addition, it offers increased resolution, improved robustness to noise, and works well with limited number of data samples.]]> Wed 11 Apr 2018 12:00:55 AEST ]]> Zadoff-Chu sequence design for random access initial uplink synchronization in LTE-like systems https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:29517 Wed 11 Apr 2018 11:46:27 AEST ]]> Range-Doppler imaging via sparse representation https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:29521 Wed 11 Apr 2018 10:39:09 AEST ]]> Maximum a posteriori based approach for target detection in MTI radar https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:21420 a posteriori estimation framework. The resulting algorithm is applied in angle-Doppler imaging for moving target indication in an airborne radar. Our approach has a number of advantages including improved robustness to noise and increased resolution with limited data.]]> Wed 05 Dec 2018 13:47:07 AEDT ]]> Estimation of sparse distributions https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:10088 Wed 05 Dec 2018 13:46:35 AEDT ]]> A novel representation of rank constraints for real matrices https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:23909 0 pseudo-norm, which is used in sparse representation problems. Finally, we describe how our representation can be included in rank-constrained optimization and in rank-minimization problems.]]> Wed 04 Sep 2019 10:12:16 AEST ]]>