搜索资源列表
BCS-in-WSN
- 无线传感网络中，压缩感知数据恢复的一种贝叶斯分析，也许能用于分布式压缩感知-Wireless sensor networks, compressed sensing data recovery of a Bayesian analysis, may be used for distributed compressed sensing
Compressed-sensing-Profile
- 压缩传感图像。介绍了压缩感知在图像恢复处理方面的应用。-Compressed sensing image . Compressed sensing image restoration processing .
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
Image-reconstruction_CS
- 合稀疏贝叶斯学习(SBL)和可压缩传感理论(CS)，给出一种在噪声测量条件下重建可压缩图像的方法。该方法将cS理论中图像重建过程看作一个线性回归问题，而待重建的图像是该回归模型巾的未知权值参数；利用sBL方法对权值赋予确定的先验条件概率分布用以限制模型的复杂度，并引入超参数- Hop sparse Bayesian learning ( SBL ) and compressible sensing theory ( CS ) , give a compressible image recon
yasuoganzhi
- 本程序是采用正交匹配算法实现图像LENA的压缩传感,而且该程序没有经过任何优化处理。-This program is the use of orthogonal matching algorithm for image compression LENA sensing, and the program has not been any optimization.
dh320
- 用MATLAB实现的压缩传感，用于特征降维，特征融合，相关分析等,雅克比迭代求解线性方程组课设。- Using MATLAB compressed sensing, For feature reduction, feature fusion, correlation analysis, Jacobi iteration for solving linear equations class-based.
gkrhg
- Relief计算分类权重，基于K均值的PSO聚类算法,用MATLAB实现的压缩传感。- Relief computing classification weight, K-means clustering algorithm based on the PSO, Using MATLAB compressed sensing.
bxviw
- 基于matlab平台实现,信号处理中的旋转不变子空间法，用MATLAB实现的压缩传感。- Based on matlab platform, Signal Processing ESPRIT method, Using MATLAB compressed sensing.
jgdea
- 是小学期课程设计的题目，有循环检测，周期性检测，用MATLAB实现的压缩传感。- Is the topic of the elementary school stage curriculum design, There are cycle detection, periodic testing, Using MATLAB compressed sensing.
kou_ci31
- 对球谐函数图形进行仿真,用MATLAB实现的压缩传感，wolf 方法计算李雅普诺夫指数。- Of spherical harmonics graphic simulation, Using MATLAB compressed sensing, wolf calculated Lyapunov exponent.