The Experts below are selected from a list of 6 Experts worldwide ranked by ideXlab platform

Qiu-hua Lin - One of the best experts on this subject based on the ideXlab platform.

  • ICASSP - Complex non-orthogonal joint diagonalization with successive givens and hyperbolic Rotations
    2012 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2012
    Co-Authors: Xiao-feng Gong, Ke Wang, Qiu-hua Lin
    Abstract:

    Complex blind source separation (BSS) received growing interests in many practical applications in the past decades, and non-orthogonal joint diagonalization (JD) of a set of complex matrices plays an instrumental role in solving these problems. In this paper, we propose a new complex non-orthogonal JD algorithm. This algorithm successively finds the optimal Givens and hyperbolic Rotation matrices that constitute the Elementary Rotation Matrix in each iteration in an alternating manner. It does not require the target matrices to be Hermitian, and thus could be well adapted to BSS problems that involve fourth-order cumulant slices or time-lagged covariance matrices. Simulations are provided to compare the proposed algorithm with other JD algorithms.

Xiao-feng Gong - One of the best experts on this subject based on the ideXlab platform.

  • ICASSP - Complex non-orthogonal joint diagonalization with successive givens and hyperbolic Rotations
    2012 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2012
    Co-Authors: Xiao-feng Gong, Ke Wang, Qiu-hua Lin
    Abstract:

    Complex blind source separation (BSS) received growing interests in many practical applications in the past decades, and non-orthogonal joint diagonalization (JD) of a set of complex matrices plays an instrumental role in solving these problems. In this paper, we propose a new complex non-orthogonal JD algorithm. This algorithm successively finds the optimal Givens and hyperbolic Rotation matrices that constitute the Elementary Rotation Matrix in each iteration in an alternating manner. It does not require the target matrices to be Hermitian, and thus could be well adapted to BSS problems that involve fourth-order cumulant slices or time-lagged covariance matrices. Simulations are provided to compare the proposed algorithm with other JD algorithms.

Ke Wang - One of the best experts on this subject based on the ideXlab platform.

  • ICASSP - Complex non-orthogonal joint diagonalization with successive givens and hyperbolic Rotations
    2012 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2012
    Co-Authors: Xiao-feng Gong, Ke Wang, Qiu-hua Lin
    Abstract:

    Complex blind source separation (BSS) received growing interests in many practical applications in the past decades, and non-orthogonal joint diagonalization (JD) of a set of complex matrices plays an instrumental role in solving these problems. In this paper, we propose a new complex non-orthogonal JD algorithm. This algorithm successively finds the optimal Givens and hyperbolic Rotation matrices that constitute the Elementary Rotation Matrix in each iteration in an alternating manner. It does not require the target matrices to be Hermitian, and thus could be well adapted to BSS problems that involve fourth-order cumulant slices or time-lagged covariance matrices. Simulations are provided to compare the proposed algorithm with other JD algorithms.

Zheng Li-e - One of the best experts on this subject based on the ideXlab platform.