Junxiao SONG

Journal Papers

1. Licheng Zhao, Junxiao Song, Prabu Babu, and Daniel P. Palomar, “A Unified Framework for Low Autocorrelation Sequence Design via Majorization-Minimization,” accepted in IEEE Trans. on Signal Processing, submitted May 2016.

2. Junxiao Song, Prabhu Babu, and Daniel P. Palomar, “Sequence Set Design With Good Correlation Properties Via Majorization-Minimization,” IEEE Trans. on Signal Processing, vol. 64, no. 11, pp. 2866-2879, June 2016.

3. Junxiao Song, Prabhu Babu, and Daniel P. Palomar, “Sequence Design to Minimize the Weighted Integrated and Peak Sidelobe Levels,” IEEE Trans. on Signal Processing, vol. 64, no. 8, pp. 2051-2064, April 2016.

4. Junxiao Song, Prabhu Babu, and Daniel P. Palomar, “Optimization Methods for Designing Sequences With Low Autocorrelation Sidelobes,” IEEE Trans. on Signal Processing, vol. 63, no. 15, pp. 3998-4009, Aug. 2015.

5. Junxiao Song, Prabhu Babu, and Daniel P. Palomar, “Sparse Generalized Eigenvalue Problem via Smooth Optimization,” IEEE Trans. on Signal Processing, vol. 63, no. 7, pp. 1627-1642, April 2015. [Matlab code]

6. Xiaopeng Fan, Junxiao Song, Daniel P. Palomar, and Oscar C. Au, “Universal Binary Semidefinite Relaxation for ML Signal Detection,” IEEE Trans. on Communications, vol. 61, no. 11, pp. 4565-4576, Nov. 2013.

Conference Papers

1. J. Song, P. Babu and D. P. Palomar, "Sequence design to minimize the peak sidelobe level," 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Shanghai, 2016, pp. 3896-3900.

2. J. Song, P. Babu and D. P. Palomar, "Optimization methods for sequence design with low autocorrelation sidelobes," 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), South Brisbane, QLD, 2015, pp. 3033-3037.

3. J. Song, P. Babu and D. P. Palomar, "A fast algorithm for sparse generalized eigenvalue problem," 2014 48th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, 2014, pp. 1652-1656.