搜索资源列表
A-REMARK-ON-COMPRESSED-SENSING
- 一篇关于压缩感知的经典文章，压缩感知（Compressed sensing，简称CS，也称为Compressive sampling)理论异于近代奈奎斯特采样定理，它指出：利用随机观测矩阵可以把一个稀疏或可压缩的高维信号投影到低维空间上，然后再利用这些少量的投影通过解一个优化问题就可以以高概率重构原始稀疏信号，并且证明了这样的随机投影包含了原始稀疏信号的足够信息。-A classic article on compressed sensing, compressive sensing (Comp
Image_Denoising_Global_Denoising
- 基于压缩感知的的图像去噪，用于不同维数，-image denoising based on cs
mt_CS
- 多任务cs，压缩感知中的一种重构方法，主要用于重构-Multitasking cs
Compressed-sensing-denoising-code
- 压缩感知去噪代码，一种用于去噪的CS的有效代码，简单适用-Compressed sensing denoising code, one for denoising CS valid code, a simple application
MyOMP
- 一个简单的运用正交匹配追踪算法（OMP）的程序，与Signal Recovery From Random Measurments Via Orthogonal Matching Pursuit中描述的OMP算法一致，可以使刚开始接触压缩传感（CS）的同学更快的入门，了解OMP算法-A simple algorithm using orthogonal matching pursuit (OMP) of the program, and Signal Recovery From Random Me
CS
- 用matlab利用压缩感知CS实现对一位信号的处理~小波稀疏分解，正交追踪算法重构~1-D信号压缩传感的实现(正交匹配追踪法Orthogonal Matching Pursuit) 测量数M>=K*log(N/K),K是稀疏度,N信号长度,可以近乎完全重构-CS with matlab using compressed sensing to achieve a sparse signal processing- wavelet decomposition, the orthogona
compression-based-on-BP-and-CS
- 基于压缩传感理论和BP神经网络的数字图像压缩的一篇论文-a paper on compression based in BP and CS
compression-based-on-EMD-and-CS
- 基于希尔伯特黄变换和压缩传感理论的图像压缩研究-a paper about picture compression based on EMD and CS
leakage-compression-based-on-CS
- 泄漏电流的压缩，基于压缩传感理论和希尔伯特黄变换的改进-leakage compression based on CS and EMD
cs-2d
- 对二维图像进行压缩感知处理和重建，其中包括小波变换程序、正交匹配跟踪重建信号程序-Compressed sensing, processing and reconstruction of two-dimensional image
cs
- 利用压缩感知对图像进行处理 先用小波变换生成矩阵，再利用正交匹配追踪算法，在对图像进行稀疏处理后进行正交匹配追踪 -Orthogonal matching pursuit algorithm for image processing First generated using wavelet transform matrix orthogonal matching pursuit, sparse processing image
lectures-about-CS-and-SpaRec
- 一些关于压缩传感的基础性、系统性的介绍和一些稀疏信号重构算法的介绍如FOCUSS和Greedy Algorithm,适合入门人学习的资料-Some basis and system lectures about compressive sensing also including some sparse signal reconstruction algorithm for you such as FOCUSS and Greedy MP.all the materials are fit fo
CS-application
- 几篇压缩感知的文献，主要介绍压缩感知的理论分析和应用研究，一些算法介绍的简单易懂-Several compressed sensing literature, introduces the compressed sensing theory and applied research, some algorithm is described in easy to understand
Wireless-CS
- 简单的压缩感知用于无线传感器的例子，还有贝叶斯压缩感知-Simple compress perception used for wireless sensor examples, and the bayesian compression perception
CS-yuyin
- 自己搜集的关于语音方面的论文，CS，压缩感知，是最近的热门，打破了采样定律，结合CS的语音论文，这里给出，很全面。-His collection of papers about speech, CS, compressed sensing, is recently popular, breaking the law of sampling, combined with the voice of the CS papers, shown here, is very comprehensive.
cs
- 包含经典的压缩感知重构算法，匹配追踪算法，正交匹配追踪算法等，有测试程序和测试图像，也有一维信号的测试范例。-This code include compressed sensing althorigm ,such as orthorginal matching pursuit, matching pursuit, and it also include examples ablout image and other signals.
cs-omp
- OMP 数字图像处理 压缩传感算法 omp算法设计
CS-recovery-based-on-bayes
- 基于贝叶斯假设的压缩感知重构算法，介绍了算法迭代流程，并与OMP ROMP STOMP算法做了比较-Bayesian Hypothesis Testing Based Recovery for Compressed Sensing
cs-omp
- 正交匹配追踪，信号压缩传感的实现，可近似完全重构-Orthogonal matching pursuit
CS
- 压缩感知（Compressive Sensing(CS)，或称Compressed Sensing、Compressed Sampling）。该理论指出：对可压缩的信号可通过远低于Nyquist标准的方式进行采样数据，仍能够精确地恢复出原始信号。该理论一经提出，就在信息论、信号/图像处理、医疗成像、模式识别、地质勘探、光学/雷达成像、无线通信等领域受到高度关注，并被美国科技评论评为2007年度十大科技进展。-Compressed Sensing (Compressive Sensing (CS)