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数据结构的C++描述
- 目 录 译者序 前言 第一部分 预备知识 第1章 C++程序设计 1 1.1 引言 1 1.2 函数与参数 2 1.2.1 传值参数 2 1.2.2 模板函数 3 1.2.3 引用参数 3 1.2.4 常量引用参数 4 1.2.5 返回值 4 1.2.6
Measurements
- 压缩感知中一种测量方法。介绍如何构造测量矩阵。-Compression in a perceptual measurement method. Introduce how to construct measurement matrix.
RIPText
- 用来测试压缩感知中构造的测量矩阵的RIP的-this .m file is used to check the senging matrix RIP in CS
CS-based-on-FFT-or-DWT
- 图像压缩感知,稀疏基为FFT或DWT（其中FFT是构造正交变换矩阵，DWT是对高频系数进行测量）；重构方法为OMP-compression sensing of image based on FFT or DWT
tsiligiani.pdf
- Construction of Incoherent Unit Norm Tight fr a mes With Application to Compressed Sensing:构造不相干紧框架的压缩感知测量矩阵的最新构造方法的文章，其中的不相干很难做到，作者提供的方法解决了这一问题，值得一看-Construction of Incoherent Unit Norm Tight fr a mes With Application t
半张量积实验简单程序
- 构造测量矩阵，利用的是半张量积方法，是比较简单的程序(Constructing a measurement matrix, using a semi-tensor product method, is a relatively simple procedure)
混沌序列测量矩阵
- 关于混沌序列测量矩阵构造可以得到伪随机性很好的混沌序列测量矩阵，是实现压缩感知降维测量的方便工具(As for the construction of chaotic sequence measurement matrix, a chaotic sequence measurement matrix with good pseudo randomness can be obtained. It is a convenient tool
CEILIANGJUZHENG_partPAULI
- 此算法可以用于模拟实验中的测量，构造泡利测量矩阵(this can be used for simulingk the process of the paoli measurment in the real experiment)
msequence-csomp
- m序列构造的压缩感知测量矩阵重建概率恢复(Compressed sensing matrix reconstruction probability recovery of m-sequence construction)
Fourier
- 利用傅里叶矩阵构造压缩感知测量矩阵恢复重建概率(Using the Fourier matrix to construct a measurement matrix to recover the reconstruction probability)
Fourier-k-m-reconstuction
- 在构造压缩感知测量矩阵中，用傅里叶矩阵实现稀疏度k和m与信噪比之间的关系(In the construction of compressed sensing measurement matrix, the relationship between sparsity k and m and signal-to-noise ratio is realized by Fourier matrix.)
CS-Mtx
- 压缩感知中压缩测量的几种测量矩阵的构造，包括伯努利矩阵，循环矩阵和部分傅里叶矩阵等。(Several measurement matrices for compression measurement in compressed sensing are constructed, including Bernoulli matrix, cyclic matrix and partial Fourier matrix.)
Gradient算法
- 生成压缩感知测量矩阵，对稀疏的离散数字信号进行压缩(Compressed sensing measurement matrix is generated to compress sparse discrete digital signals)
确定性矩阵
- 压缩感知，确定性测量矩阵构造，matlab语言编程(Compressed sensing, construction of deterministic measurement matrix)