Papers/Software in Communication and Digital Signal Processing


  • Y. Jiang, W. W. Hager, and J. Li, The Geometric Mean Decomposition, Linear Algebra and Its Applications, 396 (2005), pp. 373-384.

  • Matlab code for computing the geometric mean decomposition, December 3, 2003.

  • Y. Jiang, J. Li, and W. W. Hager, Joint Transceiver Design for MIMO Communications Using Geometric Mean Decomposition, IEEE Transactions on Signal Processing, 53 (2005), pp. 3791-3803.

  • Y. Jiang, W. W. Hager, and J. Li, The Generalized Triangular Decomposition, Mathematics of Computation, 77 (2008), pp. 1037--1056, DOI: 10.1090/S0025-5718-07-02014-5.

  • Matlab code for computing the generalized triangular decomposition, April 29, 2004.

  • Y. Jiang, J. Li, and W. W. Hager, Uniform Channel Decomposition for MIMO Communications, IEEE Transactions on Signal Processing, 53 (2005), pp. 4283-4294.

  • Y. Jiang, W. W. Hager, and J. Li, Tunable Channel Decomposition for MIMO Communications Using Channel State Information, IEEE Transactions on Signal Processing, 54 (2006), pp. 4405-4418.

  • W. W. Hager, Y. Liu, and T. F. Wong, Optimization of Generalized Mean Square Error in Signal Processing and Communication, Linear Algebra and Its Applications, 416 (2006), pp. 815-834.

  • Y. Liu, T. F. Wong, and W. W. Hager, Training signal design for estimation of correlated MIMO channels with colored interference, IEEE Transaction on Signal Processing, 55 (2007) pp. 1486-1497.

  • W. W. Hager and J. Luo, Optimization of Generalized Mean Square Error in Noisy Linear Estimation, SIAM Journal on Matrix Analysis and Applications, 30 (2008), pp. 783-804.