搜索资源列表
gbp_package
- 用于稀疏分解的优化搜索算法,版权属于Patrick S. Huggins and Steven W. Zucker(Yale University)-sparse for the decomposition of optimization search algorithm, Copyright belongs to Patrick S. Huggins and Steven W. Zucker (Ya le University)
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.
figure64
- 稀疏分解图像重建程序,把图像分解成多个小块图像,然后再各个子块重建后边缘处理后合并成整个图像。-sparse decomposition image reconstruction process, the image is divided into a number of small images, then each sub-block redevelopment edge after the merger into the whole image.
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
NMFs-LDA
- 基于NMFs(非负矩阵稀疏分解)和LDA(线性辨别分析),是一种新的雷达目标一维距离像识别方法。
matchingpursuit
- matching pursuit 算法,matlab实现,信号稀疏分解方式的一种,适合与信号在超完备的原子库中稀疏分解。matchingpursuit.m-A matching pursuit algorithm. It fits data from a set of dictionary elements by orthogonally projecting the data onto elements of the dictionary of vectors such that t
test_m_fft
- 利用FFT实现基于MP的信号稀疏分解程序-Using FFT-based signal sparse decomposition process MP
tree
- 目前比较流行的稀疏分解重构程序,可以用在人脸识别、字典构造等方面。-Currently popular sparse decomposition and reconstruction process, can be used in face recognition, dictionary structure and so on.
sgLasso
- 目前比较流行的稀疏分解重构程序,可以用在人脸识别、字典构造等方面。-Currently popular sparse decomposition and reconstruction process, can be used in face recognition, dictionary structure and so on.
dct
- 在离散余弦变换下实现信号的稀疏分解,matlab环境下可以简单实现-realize sparse Decomposition with dct
张量分解针对高维稀疏数据处理阐述.docx
- 张量分解 技术研究的情况。送 if 为哦我吃呢次哦嗯哦此外呢次哦那位哦刺猬(Tenor Decomposition The study of tensor decomposition technology. If, oh, I'll eat it. Oh, uh oh, besides, oh, oh, hedgehog.)
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,