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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)
matrix_factorization
- 基于SVD矩阵分解的协同过滤算法的matlab实现-SVD-based collaborative filtering matrix decomposition algorithm matlab
程序
- SVD分解信号滤波，内含各种信号滤波结果，以及特征值选取(SVD decomposition signal filtering)
svdwm1
- 基于svd的音频水印，加噪、滤波检验鲁棒性(Audio watermarking based on SVD, check the robustness of denoising and filtering)
SVDFLITER
- SVD滤波方法，主要是通过对信号进行奇异值分解，将噪声部分的值归零，再进行信号的重构，顺利地进行滤波。(SVD filtering method, mainly through singular value decomposition of the signal, the noise part of the value of zero, and then signal reconstruction, smoothly filtering.)
Emd_SVD
- 通过峭度指标与互相关系数筛选IMF进行SVD分解去噪(Filtering IMF for SVD denoising by kurtosis index and correlation number)