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Nonorthogonal joint diagonalization of spatial quadratic time-frequency matrices for source separation

机译:空间二次时频矩阵的非正交联合对角化

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摘要

The separation problem of an instantaneous mixture of deterministic or random source signals is addressed. We show that the separation can be realized through the nonorthogonal joint diagonalization of spatial quadratic time-frequency matrices. One advantage of the proposed method is that it does not require any whitening stage, and thus, it is intended to work even with a class of correlated signals. We also propose a general automatic time-frequency point selection procedure for the determination of the above matrices to be joint diagonalized. An analytical example and computer simulations are provided in order to illustrate the effectiveness of the proposed approach and to compare it with classical ones.
机译:解决了确定性或随机源信号的瞬时混合的分离问题。我们表明,可以通过空间二次时频矩阵的非正交联合对角化来实现分离。所提出的方法的一个优点是,它不需要任何白化阶段,因此,即使对于一类相关信号,它也可以工作。我们还提出了一种通用的自动时频点选择程序,用于确定要联合对角化的上述矩阵。提供了一个分析示例和计算机仿真,以说明所提出方法的有效性并将其与经典方法进行比较。

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