...502) 评论(2) 压缩感知重构算法之子空间追踪(SP) 如果掌握了压缩采样匹配追踪(CoSaMP)后，再去学习子空间追踪(Subspace Pursuit)是一件非常简单的事情，因为它们几乎是完全一样的。
基于34个网页-相关网页
基于子空间的盲多用户检测将接收信号投影到信号子空间，可以提高检测性能，并且可采用复杂度较低的子空间追踪算法实现。
The performance of subspace method is improved by projecting the received signals to the signal subspace. And it can be executed by subspace tracking algorithms with low computational complexity.
而子空间匹配追踪算法可以克服匹配追踪算法中的过匹配现象，加速了算法收敛速度，同时计算量比正交匹配追踪小得多。
SSMP can effectively overcome the over-matching phenomenon in the MP, improves the convergence rate, and has much less computation than the OMP.
为此，本文提出匹配追踪分解与子空间方法结合的方法，带噪语音信号的矢量空间可以认为由一个信号加噪声的子空间和一个纯噪声子空间构成。
To this end, this paper presents matching pursuit decomposition combines with sub-space method. The vector space of noisy speech is considered as a noisy speech space added a pure nose space.
应用推荐