搜索资源列表
BCS_CODE
- matlab写的贝叶斯的压缩感知的代码，应用范围广泛，很不错。-matlab write code compression Bayesian perception, wide range of applications, very good.
CT_code_matlab
- 一种简单高效地基于压缩感知的跟踪算法。首先利用符合压缩感知RIP条件的随机感知矩对多尺度图像特征进行降维，然后在降维后的特征上采用简单的朴素贝叶斯分类器进行分类-Real-time Compressive Tracking proposed by Kaihua Zhang in The Hong Kong Polytechnic University
compressiveTracking
- 压缩跟踪 是一种简单高效地基于压缩感知的跟踪算法。首先利用符合压缩感知RIP条件的随机感知矩对多尺度图像特征进行降维，然后在降维后的特征上采用简单的朴素贝叶斯分类器进行分类。该跟踪算法非常简单，但是实验结果很鲁棒，速度大概能到达40帧/秒-Compression tracking A simple and efficient tracking algorithm based on compression perception. First use of random eligible for c
Bayesian-Compressive-Sensing
- 基于贝叶斯的压缩感知 Bayesian Compressive Sensing Shihao Ji, Ya Xue, and Lawrence Carin, IEEE Trans. Signal Processing, vol. 56, no. 6, June 2008.- Bayesian Compressive Sensing Shihao Ji, Ya Xue, and Lawrence Carin, IEEE Trans. Signal Processing, vol. 5
Bayesian-Compressive-Sensing
- 基于贝叶斯的压缩感知，运用相关向量机 理论。-Based on bayesian compressed perception and use of relevance Vector Machine (Relevant Vector Machine, RVM) theory
MSBL-Learning-Algorithm
- 贝叶斯学习算法，用在压缩感知和稀疏恢复重建之中。-The MSBL algorithm for Compressed Sensing and sparse recovery.
FastLaplace-CS-algorithm
- 拉普拉斯贝叶斯算法，用在压缩感知和稀疏表示之中。-The FastLaplace compressed sensing algorithm.
Bayesian
- 基于贝叶斯学习法的压缩感知信号重构的方法。-Bayesian learning method based on compressed sensing signal reconstruction method.
BCS-implemented
- 一个基础贝叶斯变换的压缩感知，包含一个源代码和一个一维信号处理的例子和两个二维图像的例子-The basic BCS implemented via a variational Bayesian approach. The package includes the core VB-BCS code, one example of a 1-dimensional signal and two examples of 2-dimensional images.
BSBL-FM-master
- 基于贝叶斯学习方法的块稀疏信号压缩感知算法-A fast implementation of the Block Sparse Bayesian Learning algorithm
Matlab_code_OGSBI
- 压缩感知贝叶斯 DOA算法，Off-grid模型，近似模型。(Compressed sensing Bias DOA algorithm, Off-grid model, approximate model.)
cs_location
- 可用于位置指纹定位中的信号恢复和图像处理中的信号恢复(Signal Recovery for Location Fingerprint Location and Signal Recovery in Image Processing)