搜索资源列表
decomposition
- 利用小波包实现信号的稀疏分解，方法较为新颖，外文文章
sparsedecom
- 利用匹配追踪对雷达信号进行稀疏分解，得到其稀疏表示形式-The use of matching pursuit for sparse decomposition of the radar signals, by their sparse representation
MP
- MP稀疏分解用于盲信号分离，图像压缩。去噪声等领域-MPsparse decomposition
Wavelet_OMP
- 小波稀疏分解和重构算法，适合通信信号和图像重构-Sparse wavelet decomposition and reconstruction algorithm for communications signal and image reconstruction
信号稀疏分解及压缩感知理论应用研究
- 信号稀疏分解及压缩感知理论应用研究，论文(Research on sparse signal decomposition and compressed sensing theory)
MP_decomposition
- 基于MP的稀疏分解算法，信号的去燥，重构，应用的是cabor原子(MP based sparse decomposition algorithm, signal drying, reconstruction, the application of Cabor atoms)
MATLAB总结
- 信号稀疏表示的目的就是在给定的超完备字典中用尽可能少的原子来表示信号，可以获得信号更为简洁的表示方式，从而使我们更容易地获取信号中所蕴含的信息，更方便进一步对信号进行加工处理，如压缩、编码等。信号稀疏表示方向的研究热点主要集中在稀疏分解算法、超完备原子字典、和稀疏表示的应用等方面。(Signal sparse representation is to overcomplete dictionary given in as little as possible to represent atomi
Shift_Invariant_Sparse_Coding
- Matlab编写的移不变稀疏分解程序 ,求得对应于不同源信号的基，可实现信号特征提取(The shift invariant sparse decomposition program written by Matlab can obtain the basis of the signal corresponding to the homologous signal, and the signal feature extraction can be realized.)
一维信号的匹配追踪重建
- 主要用于一维信号的稀疏分解，适用于Gabor等多参数字典求取最佳原子(It is mainly used for sparse decomposition of one-dimensional signals. It is suitable for Gabor and other multi parameter dictionary to obtain the best atom.)
direction finding algorithm
- 利用信号本身的结构特征，通过附加不同的稀疏约束，该模型利用过完备字典进行信号分解，使其表示成字典中若干原子的线性组合，从而获得数据的精简表示。(By using the structural characteristics of the signal itself and adding different sparse constraints, the model decomposes the signal into linear combinations of atoms in the dic