搜索资源列表
image_smoth
- 稀疏分解的匹配追踪程序,用新的较少的原子来重建信号或图像,使信号或图像的表示更加简洁。-MP tracking procedures, with new atomic less to rebuild signal or image the signal or image said more concise.
low_high
- 稀疏分解信号重建程序,利用匹配追踪原理不断对信号匹配,最后达到重建信号目的。-sparse decomposition signal reconstruction procedures, the use of matching principle constantly tracking the signal matching, Finally signal to the redevelopment purposes.
mp_initial
- 稀疏分解严格按照匹配追踪的原理,生成新的原子,对信号匹配,直至剩下信号残差。-sparse decomposition in strict accordance with the principle of matching the track, a new generation of atomic bombs, the signal matching, until the remaining residual signal.
LFM1_mp_1
- 信号与信息处理——阵列信号处理DOA估计的matlab算法,这是线性调频信号的稀疏分解算法,很有用
LFM1_mp_2
- 信号与信息处理——阵列信号处理DOA估计的matlab算法,这是线性调频信号的稀疏分解的另一种算法源码
LFM1_mp_f_1
- 信号与信息处理——阵列信号处理DOA估计的matlab算法,这是线性调频信号的稀疏分解算法,很有用
LFM2_mp_1
- 信号与信息处理——阵列信号处理DOA估计的matlab算法,这是线性调频信号的稀疏分解算法,针对频率的变化性能
LFM2_mp_snr_1
- 信号与信息处理——阵列信号处理DOA估计的matlab算法,这是线性调频信号的稀疏分解算法,对信噪比的变化
LFM-MP-SNR
- 信号与信息处理——阵列信号处理DOA估计的matlab算法,这是线性调频信号的稀疏分解算法,wigner_will分布
mp
- 改进的信号匹配追踪稀疏分解代码,基于gabor时频原子,对语音信号重构效果好
decomposition
- 利用小波包实现信号的稀疏分解,方法较为新颖,外文文章
MPTFcomposition
- 实现信号基于MP的稀疏分解,并对信号进行时频分布
MCALabWithUtilities
- MCA算法源程序,可用于稀疏分解,信号分类,图像修复,信号还原-MCA algorithm source code can be used for sparse decomposition, signal classification, image restoration, signal reduction
CS
- 压缩感知matlab代码,使用FFT进行稀疏分解,OMP算法重建信号-Compressed sensing matlab code, the use of FFT for sparse decomposition, OMP algorithm for signal reconstruction
CurveLab-2.1.3.tar
- 最新曲波变换工具箱,用于信号稀疏分解重构-Last curvelet transform toolbox for signal sparse decomposition and reconstruction
MP
- 基于MP的信号稀疏分解参考程序的matlab仿真代码-Matlab simulation code of the reference procedure based on the MP signal sparse decomposition
SolveBP
- BP,基追踪,同MP一样,是实现信号稀疏分解的方法-BP, basis pursuit, as with the MP, is to achieve sparse signal decomposition method
SolveBP
- BP,基追踪,同MP一样,是实现信号稀疏分解的方法-BP, basis pursuit, as with the MP, is to achieve sparse signal decomposition method
mp
- 基于GA和MP的信号稀疏分解matlab程序来自于信号与图像的稀疏分解及初步应用-Sparse signal sparse decomposition of MP GA and matlab program signal and image decomposition and its application based on
共振稀疏分解
- RSSD方法的基础是品质因子可 调 小 波 变 换(TQWT)方法,其关键是构建品质因子可调小波。依据信号的共振属性,通过带通滤波器组实现分解过程,