搜索资源列表
Sparse-Matrix
- 在处理数据时经常需要处理稀疏矩阵，本文件包含了部分处理稀疏矩阵对角化、行列重拍等Matlab函数。-In the processing of data often need to deal with sparse matrices, this document contains some sparse matrix diagonalization, ranks remake Matlab functions.
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
larc-of-speech-enhancement
- 基于字典的语音增强中稀疏编码计算稀疏矩阵的一种改进算法，称作larc-Dictionary-based computing sparse coding speech enhancement sparse matrix, an improved algorithm, called larc
KSVD-of-speech-enhancemant
- 基于字典学习的语音增强中字典更新的算法，称作近似K-SVD算法，其中包含了OMP算法用于稀疏编码计算系数矩阵-Dictionary-based learning dictionary speech enhancement algorithm update, called approximate K-SVD algorithm, which contains the sparse coding algorithm is used to calculate the coefficient matri