1.
Sparse Signal Expansion Theories and Their Applications to Image Enhancement;
稀疏信号表示理论及其在图像增强中的应用
2.
Study on Underdetermined Blind Signal Separation Algorithm Based on Sparse Representation;
基于稀疏表示的欠定混叠盲信号分离算法研究
3.
Blind Source Separation Based on Sparse Reprensentation and Its Improvement;
基于稀疏表示的盲信号分离算法及其改进
4.
Advances and Perspective on Morphological Component Analysis Based on Sparse Representation
基于信号稀疏表示的形态成分分析:进展和展望
5.
Signal Sparse Approximation Via Subspace Matching Pursuit;
基于子空间匹配追踪的信号稀疏逼近
6.
Recoverability Analysis of Blind Source Separation Based on Sparse Representation;
盲稀疏源信号分离算法的恢复性研究
7.
Application of Sparse Decomposition in Spatial Spectrum Estimation;
信号稀疏分解在空间谱估计中的应用
8.
Fast Algorithm for Real Signal Sparse Decomposition Based on FHT
基于FHT的实信号稀疏分解快速算法
9.
This is called a rarefaction and is represented by widely spaced dots.
这个区域称为稀疏区，并用疏散的小点表示。
10.
Age Automation Estimation Based on A ICA Coefficient Sparse Description Algorithm
基于ICA系数稀疏表示的年龄自动估计
11.
Initialization Algorithm for Blind Image Separation Based on Curvelet Sparse Representation
基于Curvelet稀疏表示的图像盲分离初始化
12.
3)few and sca ttlred color Dopper flow signal could be found in most cases(37/42).
3.瘤体内多数可探及稀疏点状血流信号 (37/ 4 2 )。
13.
Research on Angle-of-Arrival Estimation Using Sparse Approximation Methods with Sensor Arrays;
稀疏逼近方法在阵列信号测向中的应用研究
14.
Direction Finding for Wideband Signals Based on Sparsely Decomposition;
基于稀疏分解的宽带信号波达方向估计
15.
Signal Sparse Decomposition Based on Joint Intelligent Algorithms and MP
基于联合智能算法和MP的信号稀疏分解
16.
MP Based Sparse Decomposition of Signals by Chaos Optimization
利用混沌优化实现基于MP的信号稀疏分解
17.
DOA estimation of polarization signals based on sparse and nonuniform COLD array
基于稀疏非均匀COLD阵列的极化信号DOA估计
18.
The Application of Sparse Signal Recovery Theory in CT Image Reconstruction
稀疏信号恢复理论在CT图像重建中的应用