搜索资源列表
omp-master
- 压缩感知重构算法之正交匹配追踪(OMP)。 一个不错的MATLAB源代码。(% Othogonal matching pursuit of Tropp et Gilbert % Find greedy approx of s s.t. phi*s = y % y : data % phi : measurement matrix % K :number of vectors used in the approx (typ. = S or M) % Written by David M
ITFA
- 通过同步压缩小波变换，实现信号的分解和重构，效果优化小波变换(The signal is decomposed and reconstructed by synchronous compression wavelet transform, and the effect is optimized by wavelet transform)
code
- 稀疏傅立叶算法，matlab实现仿真，对于算法重构用到了混叠同余法和相位解码法，并对SFFT和FFT算法对同一数据的处理时间进行了对比。(Sparse Fourier algorithm, matlab to achieve the simulation, the algorithm used for aliasing congruence and phase decoding method, and the SFFT and FFT algorithm for the same data pr
SingularSpectrum
- 奇异谱分析是近年来兴起的一种研究非线性时间序列数据的强大的方法。它根据所观测到的时间序列构造出轨迹矩阵，并对轨迹矩阵进行分解、重构，从而提取出代表原时间序列不同成分的信号。如长期趋势信号、周期信号、噪声信号等，从而对时间序列的结构进行分析，并可进一步预测。(Singular spectrum analysis is a powerful method to study nonlinear time series data in recent years. A trajectory matrix
l1eq_pd
- 压缩感知重构算法，线性规划算法matlab程序算法(Compressed sensing reconstruction algorithm)
ssa
- 奇异谱分析是近年来兴起的一种研究非线性时间序列数据的强大的方法。它根据所观测到的时间序列构造出轨迹矩阵，并对轨迹矩阵进行分解、重构，从而提取出代表原时间序列不同成分的信号，如长期趋势信号、周期信号、噪声信号等，从而对时间序列的结构进行分析，并可进一步预测。(Singular spectrum analysis is a powerful method to study nonlinear time series data in recent years. According to the tim
C_Res
- db1——db5小波分解、重构输出，系数精度高(Wavelet decomposition and reconstruction output)
data_SVD
- 阵列信号处理方面，基于相关矩阵的稀疏重构，利用cvx工具箱求解；DOA估计(In array signal processing, sparse reconstruction based on correlation matrix is solved by CVX toolbox, and DOA estimation is used)
Agorlitm compare
- 这是压缩感知贪婪重构算法中的各种算法编写，以及曲线拟合，分别从稀疏度和测量次数与重构率之间的关系进行的曲线拟合(This is a compilation of algorithms for compressed sensing, greedy reconstruction algorithms, and curve fitting. The curves are fitted from the relationship between sparsity and the number of me
ct_ART_SIRT_MART
- ct重构，用于计算图像。。。。。。。。。。。。。。。。(CT refactoring for computing images................)
CS_SWOMP
- 可用于恢复稀疏信号，图像处理/噪声处理/医学成像等应用中，是压缩感知重构算法中的分段弱正交匹配追踪算法(It can be used to recover sparse signals, image processing / noise processing / medical imaging, and so on. It is a piecewise weak orthogonal matching pursuit algorithm in compressed sensing reconst
MNIST-PCA
- 使用PCA算法分析MNIST 手写字符训练样本。 结果分别生成以2、5、10个PCA主成分的重构图像以及10个主成分特征向量的对应图像。(Implement PCA algorithm on MNIST dataset and calculate the class PCA on each digit separately.)
ga - 副本
- matlab用于重构,遗传算法，程序可以运行(use to reconsitution)
DNN
- 使用神经网络进行语音增强，包括语音特征提取，DNN，语音重构(Speech enhancement using neural networks)
SMI
- 激光子混合干涉测量位移仿真，以及自混合信号重构出位移(self-mixing interference for displacement measurement)
小波和小波包降噪
- 进行了小波和小波包滤波的比较，决策树重构，熵的计算(The comparison of wavelet and wavelet packet filtering, decision tree reconstruction and entropy calculation are carried out)
Compressed Sensing
- 图像压缩传感重构的matlab程序和文献(Image compressed sensing reconstruction Matlab procedures and documentation)
HHT小波变换
- 用于脑电信号的小波分解与重构算法，另外还有一个基于信噪比的空域滤波算法和HHT分解算法，都是几个常用的脑电信号分解算法(Wavelet decomposition and reconstruction algorithm for EEG signals, in addition, a spatial filtering algorithm based on signal to noise ratio (SNR) and HHT decomposition algorithm, are sever
sourcecode
- 用matlab实现了图像的PCA压缩算法和重构算法,结构清晰,便于机器学习初学者阅读(PCA dimension reduction and reconstruction of images)
基于主分量的人脸重构
- 本实验是基于主成分分析法（PCA）在人脸识别中的应用，采用SVM分类器在ORL人脸库的基础上通过Matlab实现了快速PCA算法的验证仿真。