A required step to realize blind source separation of a signal is to determine the number of sources building up the mixture. Generally, the assumption of equal number of sources and mixtures is imposed which becomes invalid in single-channel mixtures. Therefore, in order to apply conventional solutions, a single-channel mixture signal can be converted into a pseudo-multi-channel signal. The empirical mode decomposition (EMD) method can be used for this purpose while revealing the hidden modes of the signal. In this paper, the number of sources building the single-channel mixture is determined based on the eigenvalue information of the intrinsic mode functions extracted by the EMD method. In this context, the method based on the ratio of adjacent eigenvalues (RAE) is shown to provide satisfactory results. Moreover, the extensions of the RAE method such as diagonal loading (DL) have been already offered for signal detection problems. However, it is presented here that the DL method may not be suitable for mixtures having more than three source signals. Accordingly, a modification combining both methods is proposed. Evaluations for various synthetic signal mixtures, real-world audio and speech samples are carried out to demonstrate the better performance of the provided method.

实现信号的盲源分离的必需步骤是确定形成混合物的源的数量。通常，强加相等数量的源和混合物的假设，这在单通道混合物中变得无效。因此，为了应用常规解决方案，可以将单通道混合信号转换为伪多通道信号。经验模式分解（EMD）方法可用于此目的，同时揭示信号的隐藏模式。在本文中，基于通过EMD方法提取的固有模式函数的特征值信息，确定构建单通道混合的源数目。在这种情况下，基于相邻特征值之比（RAE）的方法显示出令人满意的结果。而且，RAE方法的扩展（例如对角线加载（DL））已经针对信号检测问题提供了。但是，此处介绍的是DL方法可能不适用于具有三个以上源信号的混合物。因此，提出了结合两种方法的修改。对各种合成信号混合物，真实世界的音频和语音样本进行了评估，以证明所提供方法的更好性能。