搜索资源列表
ridgereg
- 岭回归函数，基于SVD分解的岭回归函数，已经证明了是非的有用和强大- center input and output, so we can estimate w0 separately since we don t want to shrink w0
OFDM-channel-estimation-methods
- OFDM信道估计的几种方法的仿真，包括最小二乘(LS)法、最小均方误差(MMSE)法、线性最小均方误差(LMMSE)法以及奇异值（SVD）分解法等，毕设资料，非常珍贵-several OFDM channel estimation methods,which contains the least-squares (LS), the minimum mean square error (MMSE), the linear minimum mean square error (LMMSE) and
EvaluatingEMwaveformsbySVD
- 时间域航空电磁数据tau域分解分析的重要文献-Evaluating EM waveforms by SVD
AM
- AM信号的生成多种方式去噪,小波变换，自适应滤波器，SVD去噪-AM signal to generate a variety of ways denoising, wavelet transform, adaptive filters, SVD denoising
SVD
- singular value decomposition
BM3D-zzzzzzzzz
- 图像处理得各种去噪方法，包括BM3D ，NLMS，K-SVD等，对图像处理方向的很有帮助，-Image processing have various de-noising methods including BM3D, NLMS, K-SVD, etc., is helpful for image processing direction,
SVDPP
- Python实现SVD++， Python实现SVD++， - Python implementation SVD++, Python implementation SVD++, Python implementation SVD++,
watermarking
- An improved SVD-based watermarking technique for copyright protection
CPPSVD
- SVD算法，用于矩阵奇异值分解，也可用于流动机理性研究附加算法。-SVD Singular Value Decomposition
Prony
- 添加了滤波环节、去直流环节并且用了SVD－TLS算法改进后的Prony算法-Add a filter link, go to the DC link and use the SVD-TLS algorithm improved Prony algorithm
AnalysisKSVDbox
- K-SVD的实现程序，里边有详细的讲解，附带了PDF论文。-This is the K-SVD code which is the implement of the additional papper.
tcrtsc
- an svd syste is modelled in this file.
tcrtsc_fault
- matlab svd modellin with fault.
tcrtsc_step_load
- svd step load is modelled.
svc_fault
- svd fault is modelled
svd
- 对一个信号进行奇异值分解，根据差分谱最大值点，重构信号，达到降噪的目的。-Signal for a singular value decomposition, according to the differential spectrum maximum point, the reconstructed signal to achieve noise reduction purposes.
SVD_eignface
- SVD进行特征脸提取，和PCA类似，选取前30个特征脸，并且将它显示这30个特征脸-SVD face feature extraction, and PCA is similar to the first 30 eigenfaces, and will it show that 30 eigenface
cgsvd
- CGSVD Compact generalized SVD of a matrix pair in regularization problems. sm = cgsvd(A,L) [U,sm,X,V] = cgsvd(A,L) , sm = [sigma,mu] Computes the generalized SVD of the matrix pair (A,L): [ A ] = [ U 0 ]*[ diag(sigma) 0 ]*inv
SVD_Simon
- SVD算法，用来实现矩阵分解，采用了梯度下降的思想来进行计算- SVD algorithm is used to implement matrix decomposition, using a gradient descent ideas to be calculated
svdsim
- 简单的用matlab求解SVD程序，利用QR迭代的方法进行，可以求解矩阵的奇异值-Simple program with matlab solving SVD using QR iteration proceeds, can solve singular value matrix