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Demo_MWC
- 稀疏信号的压缩感知算法，将宽带稀疏信号通过压缩感知的方法压缩为窄带信号便于传输。-Sparse signal compressed sensing algorithm broadband sparse signals compressed by compressive sensing method for narrowband signals for transmission.
PTandCSword
- 基于峰值变换的信号稀疏表示及重建，相关理论说明。-Sparse representation of signals based on peak transform and reconstruction, and related theoretical explanations.
201111-291
- 含噪信号的稀疏表示研究，该方法的计算复杂度较低-Sparse representation of noisy signals, the low complexity of the method of calculation
CS
- 信号稀疏分解及压缩感知理论应用研究，理论基础-Signal sparse decomposition and compression perception theory applied research, theoretical basis
Short-duration-power_CS
- 根据压缩传感(Compressed Sensing，cs)N论，首次提出了短时电能质量扰动信号的压缩采样方法，该方法突破了奈奎斯特采样频率的限制，实现了低于奈奎斯特采样频率的低速率采样。文中对比分析了CS理论与传统采样理论，研究了cS短时电能质量信号压缩采样的实现方法，包括：测量矩阵的构建、稀疏基的选取和电能质量信号快速贝叶斯匹配追踪重构算法(FBMP)-Compressed sensing ( Compressed Sensing , cs ) N theory , first propose
twoDomp
- 基于L阵的二维信号稀疏分解的DOA估计 应用稀疏分解方法进行二维DOA估计-Estimation sparse decomposition method based on two-dimensional signal-dimensional DOA estimation of sparse matrix decomposition L DOA