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- 运用奇异值分解，离散傅里叶变换的水印算法，完整程序-wartermarking algorithm
mid_filt
- 对一个mat文件中的数据进行滤波后再进行奇异值分解降噪。奇异值降噪方法参考附件中的文献-filtering the data with medfilter and SVD(singular value decomposition)
waveletsignalsingularitydetection
- 应用matlab语言实现小波分析的检测分析信号的奇异点 db小波分解 重构-matlab wavelets
cgsvd
- 改程序产生一个广义的奇异值分解。对于奇异方程而言，改方法非常有效。可以迅速求解方程。CGSVD Compact generalized SVD of a matrix pair in regularization problems-Change the program to generate a generalized singular value decomposition. For the singular equation, the change method is very effect
qiyidiandingwei
- 采用小波对信号进行分解，然后根据不同的分解层次的小波系数，判断信号的奇异点位置-Wavelet decomposition of the signal, and then broken down according to different levels of wavelet coefficients, determine the location of the signal singularity
singular value
- 利用变率判别法 寻找奇异值，并进行插值订正(use rate discrimination method, to find singular value, and correct it by the interpolation.)
qiyizhiSVD
- 调用MATLAB中含有噪声的数据文件 进行奇异值分解(Call the data file containing noise in MATLAB to perform singular value decomposition)
svdtls11
- 奇异值分解方法计算SVD方法处理最小二乘问题 对主函数进行分析(The singular value decomposition method calculates the SVD method to deal with the least squares problem and analyzes the main functions)
waveletprogram
- 采用小波奇异点检测方法寻找光谱谱峰位置，用来确定光谱中谱峰位置，峰高，峰宽等相关等信息。(locate spectral peaks in the spectrum by a wavelet singularity detection method)
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
trun_tem_singuVal
- 各种去除奇异值和趋势项的方法，包括3q法，detrend等(A variety of methods for removing singular values and trend items)
tsvdfy
- 奇异值分解反演算法，多用于简单的有损的反演算法，在信噪比比较高的情况下结果比较精确(Singular value decomposition inversion algorithm is usually used in the simple lossy inversion algorithm, and the results are more accurate in the case of high signal-to-noise ratio)
ssa
- 奇异谱方法( SSA) 是一种特别适合于研究周期振荡行为的分析方法, 它是从时间序列的动力重构出发, 并与经验正交函数相联系的一种统计技术, 是EOF分解的一特殊应用。((SSA) is a kind of special singular spectrum method is suitable for the study of periodic oscillation behavior analysis method, it comes from the time series of dyna
SSA
- 利用奇异谱分析进行时间序列的周期判断，里面有相应的算例(Singular spectrum analysis with corresponding examples)
tensorhosvd
- 针对文章《基于张量奇异值分解的人脸识别方法》的代码(Face recognition code based on tensor singular value decomposition)
mrsvd
- 实现多分辨率奇异值分解程序,可用于故障诊断、消除噪声等(multi resolvetion svd decompotion)
SVD
- 主要用来对矩阵进行奇异值分解，与MATLAB有同样的效果(It is mainly used to perform singular value decomposition on matrices and has the same effect as MATLAB.)
新建文件夹
- 利用奇异值分解的方法，对图像进行有效的压缩和去噪(Using the singular value decomposition method, the image is compressed and de-noised effectively.)
svdc
- 奇异值阈值降噪，采用平均阈值以及中值阈值对信号进行处理，最后可进行对比结果(singular value composition)
tikhonov
- 压缩包里包含了：正则化方法，L曲线，奇异值分解等，希望对大家有帮助(Compression package contains: regularization method, L curve, singular value decomposition and so on, we hope to help everyone.)