搜索资源列表
l1
- 压缩感知的一个应用实例，对压缩后的信号用BP算法重构-An application of compressed sensing, on the compressed signal with the BP algorithm has
dct_cs
- 采用BP算法来实现压缩感知的信号重构示例。BP算法由线性规划来实现，稀疏基为DCT基，信号为语音信号-an example of using BP algorithm for signal reconstruction in compressed sensing. BP algorithm is implemented by linear programming, sparse basis is the DCT basis, the signal used is speech
l1magic
- 压缩感知中求解最优L1范数问题的BP算法内含指导文章-Compressed sensing in L1 norm to solve the problem of optimal BP algorithm article contains guidance
CS_OMP
- 压缩感知信号重建的正交匹配追赶算法（omp），与bp算法相比较有叫高的精度，但是付出了计算量的代价-Compressed sensing signal reconstruction algorithm Orthogonal matching catch (omp), compared with the bp algorithm are called high precision, but at a cost of computation
csreview
- 压缩感知综述，包含中文和英文的论文，描述最新的理论及算法-Summary of compressed sensing, including Chinese and English papers, describes the latest theory and algorithm
BP_Simplex
- 使用BP算法实现压缩感知信号重构,需要已知观测空间基矩阵和观测向量-BP_Simplex,BP with a Simplex mplementation
l1-slove
- 压缩感知中求解最优L1范数问题的BP算法内含指导文章-Compressed sensing in L1 norm to solve the problem of optimal BP algorithm article contains guidance
cs-tutorial-ITA-feb08-complete
- 一种最新型的压缩算法，即压缩感知（compressive sensing）的介绍文档，深入迁出，对于理解CS这一个新思想有很大的帮助-The latest model of a compression algorithm, that is, perceptual compression (compressive sensing) Introduction of the document in depth to move out, for understanding the CS has a lo
CH_dct_bp
- 基于压缩感知中DCT基的BP算法，用基追踪算法重构原始信号-Perception-based compression algorithm for DCT based BP, with the basis pursuit algorithm to reconstruct the original signal
cs_bp
- 基于压缩感知的语音信号的重构算法。使用的bp算法-Based on perception of speech signal compression algorithm of reconstruction. Using the bp algorithm
img_bp
- 图像信号的压缩感知重构算法，包含有bp,omp算法的比较程序。-Image signal compression perception reconstruction algorithm, containing the bp, omp of algorithms of comparison procedures.
107215820matchingpursuit
- matlab环境下基于压缩感知理论BP算法的图像处理-compress sense
BP-OMP-StOMP
- 压缩感知BP,OMP,StOMP算法实现信号重构-BP,OMP,StOMP algorithm for Signal Reconstruction Based on Compressive Sensing
BP算法
- 压缩感知中BP（basis pursuit）算法，能够运行。
CS-BP
- 压缩感知BP算法（basis pursuit algorithm）-basis pursuit algorithm
main_BP
- 压缩感知BP算法的实现，代码比较简单，比较适合初学者学习-OMP compressed sensing algorithm realization, the code is relatively simple, more suitable for beginners to learn
CS_BP
- 压缩感知BP算法，是入门级的程序，主要介绍了BP算法的流程-OMP compressed sensing algorithm, is an entry-level program that focuses on the process of BP algorithm
code
- 压缩感知的OMP、ROMP、Cosamp和BP算法的代码及单次测试代码 ，用于学习相关基础理论知识(Compressed sensing OMP, ROMP, Cosamp and BP algorithm code and single test code, for learning related basic theoretical knowledge.)
BP
- 除匹配追踪类贪婪迭代算法之外，压缩感知重构算法另一大类就是凸优化算法或最优化逼近方法，这类方法通过将非凸问题转化为凸问题求解找到信号的逼近，其中最常用的方法就是基追踪(Basis Pursuit, BP)，该方法提出使用l1范数替代l0范数来解决最优化问题，以便使用线性规划方法来求解(In addition to match-tracking greedy iterative algorithms, another major category of compressed-perceptual
CS_BP重构
- bp重构算法程序，压缩感知重构算法，包含测试程序(BP reconstruction algorithm program, compressive sensing reconstruction algorithm, including test program)