However, the proposed algorithm based on mp can realize high speed, at the same time, the performance of the signal decomposition is assured.
本文研究工作是基于MP分解存在计算量大、过完备原子库存储量大的问题展开的。
Through estimating the signal and noise subspaces with the eigen-decomposition of the correlation matrix, the MUSIC algorithm is used to estimate the DOAs of LFM sources.
通过对相关矩阵进行特征值分解，估计信号子空间和噪声子空间，并利用MU S IC算法估计宽带LF M信号的波达方向。
The multiresolution empirical mode decomposition method of signal can be interpreted as spatial filtering based on the signal's extremum characteristic scale.
信号的多分辨经验模分解方法可以解释为以信号极值特征尺度为度量的时空滤波过程。
应用推荐