搜索资源列表
signal-de-noise
- 采用db1基本小波来分解信号,比较第三层近似信号与原始信号,重构最大误差,比较第三层近似信号与原始信号.-used db1 to the basic wavelet decomposition signal, the third layer approximate comparison with the original signal signal, the largest reconstruction error Comparing the third layer similar to the
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
chilun
- 此程序是对齿轮信号进行模拟分析，并通过小波变换进行信号重构-This procedure is to simulate the gear signal analysis and signal reconstruction by wavelet transform
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
zp_MP
- 用matlab实现MP算法进行信号重构，有详细的注释-MP algorithm using matlab to achieve signal reconstruction, detailed notes
mjdzh
- 这是一个用模极大值算法对一维信号去噪的程序,信号重构采用经典的交替投影法.-This is a use of modulus maxima algorithm of one-dimensional signal de-noising procedure, signal reconstruction using the classical alternating projection method.
10waveletnoise
- 小波包变换分析信号的MATLAB程序 小波分析信号去噪 小波分解与重构经典程序-Wavelet packet transform analysis of signals in MATLAB program Signal de-noising wavelet decomposition wavelet analysis and reconstruction classic program
matlab
- 周期函数的傅立叶级数与信号重构基波与谐波-Periodic function of the Fourier series and the fundamental and harmonic signal reconstruction
xiaobochengxu
- matlab程序，包括信号重构与mallte 小波-matlabprgarm,includesingle and mallte
resconstruct
- 利用小波分解实现对信号多尺度分解重构，程序简单。-Wavelet decomposition of signal multi-scale decomposition and reconstruction, the program simple.
cosamp
- 压缩感知CS的重构算法中的cosamp算法程序 用于实现信号的重构-cosamp for compressive sensing reconstruction
THE-THEORY-OF-CONVEX-OPTIMIZATION
- 讲述了凸优化的基本理论，包括定义，模型，鲁棒特性以及对信号重构的指导等。-Describes the basic theory of convex optimization, including definitions, models, robust features and guidance on the signal reconstruction.
OMP
- 采用正交匹配追踪（OMP）算法实现信号重构-Orthogonal matching pursuit algorithm for signal reconstruction
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
CSRec_SP
- 压缩感知中子空间匹配追踪算法，用于稀疏信号重构-Compressed sensing algorithm for subspace matching pursuit for sparse signal reconstruction
CS_OMP(change)
- 压缩感知用于信号重构恢复的程序，包括测量矩阵的修改-Compressed sensing for signal reconstruction recovery procedures, including measurement matrix changes
emd
- emd分解，通过emd分解重构信号实现降噪(By the emd decomposition reconstruction signal noise reduction)
BSBL_EM
- BSBS-EM重构算法,可用于心电信号压缩重构。(BSBS-EM restructing algorithm)
用于信号的EMD、EEMD、VMD分解
- 用于信号的分解、降噪和重构，实现故障诊断(Used for signal decomposition, noise reduction and reconstruction to realize fault diagnosis)
xiaobo
- 对故障数据的小波包分解与信号重构、小波包能量特征提取 暨 小波包分解后实现按频率大小分布重新排列，并进行降噪处理。(After wavelet packet decomposition and signal reconstruction, wavelet packet energy feature extraction and wavelet packet decomposition, the fault data can be rearranged according to the frequ