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本文利用源信号的统计独立特性，推导出一种瞬时混迭信号分离的自适应方法。这种方法将预白化和正交化合二为一，仅利用观测数据迭代更新分离阵参数。计算机仿真实验结果表明，该方法是有效的，可以较精确分离线性混迭的信号。
In this paper, we use the statistical independence of source signals to derive an adaptive method for instantaneous aliasing signal separation. This method combines pre-whitening and orthogonality into one, updating the parameters of the separation matrix iteratively using only the observed data. Computer simulation results show that this method is effective and can separate the linear aliasing signal more accurately.