搜索资源列表
CSrec
- 全面的压缩传感重构算法源程序，包括匹配追踪系列，范数系列等-Comprehensive source compressed sensing reconstruction algorithms, including the matching pursuit series, norm series
MALLAdecompositionANDreconstruction
- MALLAT塔式分解与重构算法，进行了四级-MALLAT decomposition and reconstruction
RobustSignalRecoveryApproachforCompressiveSensing.
- 文章提出了一种新的基于范数最优化问题的压缩感知重构算法。-This paper presents a new norm optimization problem based on the compressed sensing reconstruction algorithm.
Recovery
- 关于重构算法的硕士论文,里面有现有常用的重构算法的比较，算法的描述，以及在此基础上的改进-papers about signal recovery in compressed sensing
mallatChongou
- 用mallat分解与重构算法实现一维信号的分解和重构-Mallat decomposition and reconstruction algorithm used to achieve one-dimensional signal decomposition and reconstruction
xiaobofenjie
- 1）了解小波分解与小波包分解概念区别与联系； 2）了解小波包的分解和重构算法积； 3）用matlab编程对信号进行小波包分解及小波能量图的绘制。 -1) to understand the wavelet decomposition and wavelet packet decomposition of differences and relations between concepts 2) to understand the wavelet packet decompositi
Small-spectral-analysis
- matlab程序，小波谱分析mallet算法经典程序，包括1.正弦波定义，2.小波滤波器谱分析，3.MALLET分解算法，4.MALLET重构算法-matlab program, the small spectral analysis algorithm for the classic mallet procedures, including 1. Sine definition, 2. wavelet filter spectrum analysis, 3.MALLET decompositi
GaBP_src
- 关于 压缩传感 的 经典程序 不过想要看懂非 一朝一夕 之事 的慢慢品位研究 -Compressed sensing on the classic procedure, but you want to read a short span of taste of things slowly
CS
- 关于压缩感知重构算法， 压缩感知（Compressive Sensing, or Compressed Sampling，简称CS），是近几年流行起来的一个介于数学和信息科学的新方向，由Candes、Terres Tao等人提出，挑战传统的采样编码技术，即Nyquist采样定理。-Reconstruction algorithm on compressed sensing, compressive sensing (Compressive Sensing, or Compressed Sampl
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
MyCrust090209
- 基于 Crust 算法的三维点云重构物体表面程序-Simple surface recostruction program based on Crust algorithm Given a set of 3D points returns a triangulated tight surface.
Distribution-network-reconfiguration
- 这是应用于配电网重构的改进二进制粒子群算法，能够取得比较理想的效果-Distribution network reconfiguration
SP
- 一种快速有效、性能可靠的信号重构算法是压缩感知理论的核心部分，对于 这部分内容，许多卓有成效的研究工作正在陆续展开。从压缩感知理论提出至今， 已经出现了多种稀疏信号的重构算法。重构算法主要可以归结为三大类：贪婪算 法，凸松弛算法和组合算法。这里主要是SP算法-A fast and efficient, reliable signal reconstruction algorithm is the core of compressed sensing theory, for this
Wavelet_OMP_single_layer_2
- 基于omp重构算法的压缩感知的正交化高斯测量矩阵的图像压缩算法-Based on omp restructuring algorithm compression sensation orthogonalization Gauss measurement matrix image compression algorithm
Wavelet_CoSaMP
- 使用压缩感知cosamp重构算法进行图像处理的实例-Reconstruction algorithm using compressed sensing cosamp examples of image processing
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.
CS
- 该文为压缩感知的信号重构设计了两种主要的重构算法-匹配跟踪算法、互补匹配跟踪算法，并对两种算法的特点进行了对比-In this paper, the signal is compressed sensing reconstruction of the design of two major reconstruction algorithm- matching tracking algorithm, complementary matching tracking algorithm, and th
OMP_exzample
- 用于压缩感知omp（基于正交匹配追踪）重构算法-Compressed sensing reconstruction algorithm omp