欠定的
Solving Underdetermined Systems with Interval Methods, Reliable Computing, 5(1)(1999): 23-33. 目前的研究课题为：反问题的数值计算方法。
Solving underdetermined blind source separation (BSS) via sparse representation has become a hot spot recently. 摘要 借助稀疏表示解决欠定盲源分离（BSS）是目前研究的一个热点。
Based on independent component analysis, a new way of underdetermined BSS composed of SVD-ICA and determined-ICA is put forward in this paper. 该文根据独立分量分析ICA理论，提出了多源少信道（欠定）ICA算法与完备ICA算法结合的二次盲信号分离方法，用此方法对局部放电脉冲进行提取。
This paper discusses the recoverability of underdetermined blind source separation(BSS),based on a two-stage sparse representation approach. 基于一种两步稀疏表示的方法,利用随机框架讨论欠定盲源分离的恢复能力。
As for underdetermined system of equation, reconstructing tomography of LSQR and ART algorithms cannot accurately show smaller abnormal body. 对欠定方程组，两种算法的重建图像均难于正确反映尺度较小的异常体。
Using distributed source model, this imaging problem can be formulated as an ill-conditioned and highly underdetermined linear inverse problem. 采用非参数的分布源模型,磁源成象问题即为求解一病态的欠定的线性方程组。
