搜索资源列表
SolveOMP
- OMP算法实现，主要用于重构,解决1范数问题，可以用于压缩感知-the complication of OMP algrithm to recovery，the maily function is to solve 1 norm question,it can be use in compressed sensing.
Directions-of-Normal-Vectors
- 提出一种基于法向距离的法矢方向调整算法,主要思想是根据法向距离阈值,把散乱点划分为平坦点和非平坦点两种类型-We divide the scattered points into p lanar points and non 2p lanar pints according to the threshold value of a given norm al distance.
Illustration_Norms
- For a thorough descr iption of the norms, see the Chapter 4 of Robust and Optimal Control, Zhou, Glover, Doyle 1996. Here the point is to give some lines of code illustrating what are the H2 and Hinf norms of LTI systems. In that sense, it
sa_Ex7_14
- 用matlab仿真最小范数psuedospectrum根-Using MATLAB simulation of minimum norm psuedospectrum root
l1_ls_matlab
- L1范数最小二乘算法matlab代码,可用于图像重建的研究,可修改性强.-L1 norm least square algorithm matlab code
00471413
- donoho等人写的关于BP算法的一片文献，比较有参考价值-Basis Pursuit is a technique for decomposing a signal into an "optimal" superposition of dictionary elements. The optimization criterion is the l1 norm of coeficients.
lmn4op.ZIP
- 基于L1范数稀疏距离测度学习的单类分类算法Based on the L1 norm of sparse distance metric learning one class classification algorithm-Based on the L1 norm of sparse distance metric learning one class classification algorithm
code
- 独立主成分分析与主成分分析代码，速度比较快，而且比较好用-In these first experiments, both ICA and whitened PCA are used to compress the data, and all the components are used for classifying the examples. The classifier used is a 1-NN with Euclidean distance. The results shown i
RL1
- 基于加权l1范数的稀疏信号重建，稀疏信号是带噪声的-Sparse signal reconstruction based on the weighted l1 norm sparse signal with noise
STM32-V3.5.0xiugai
- 经过多年经验把一般情况下能用到的模板进行了总结。同时格式也进行了规范。-After many years of experience under normal circumstances can be used to template a summary. The format is also the norm.
Matrix_test
- 在vs2010中实现了一个矩阵类主要功能有矩阵间的基本运算，矩阵下标访问，矩阵的LU分解，QR分解，特征值，矩阵的秩，矩阵的范数，以及基于矩阵元素的基本函数运算。-Vs2010 in the matrix between the main function of a matrix class operator matrix subscr ipting matrix LU decomposition, QR decomposition, eigenvalues, the rank of the m
the-awe-and-mystery-of-T-Norm_eurospeech03_tnorm.
- about test normalization(t-norm) which is applicable for speaker verification score normalization
doa
- DOA估计：最大熵算法、最小模算法、最小方差算法。输入： 快拍数据协方差矩阵R，观察范围内各方向导向矢量，三维矩阵phiyz。输出：最小方差谱估计矩阵P。-DOA Estimation: maximum entropy algorithm, the minimum norm algorithm, the minimum variance algorithm. Input: snapshot of the data covariance matrix R, the steering vector
zernike_norm
- 实现zernike矩的归一化处理，包括尺度归一化和平移归一化-zernike norm
L1
- 基于L1范数的多帧图像超分辨率图像重建算法，在原有算法基础上改进，提高重建精度和效率。-Based on the L1 norm of the multi-frame image super-resolution image reconstruction algorithm, the improvement on the basis of the original algorithm to improve the reconstruction accuracy and efficiency.
L2
- 基于L2范数的多帧图像超分辨率图像重建算法，在现有算法基础上改进计算精度和效率。-Based on the L2 norm of the multi-frame image super-resolution image reconstruction algorithm, on the basis of existing algorithms to improve computational accuracy and efficiency.
stm32-CAN-P-ADC-test-NORM
- stm32f103RE CAN + ADC test
omp
- omp迭代算法 线性最优化求解 最小l1范数-omp iteration algorithm linear optimization minimum of l1 norm
FastLaplace
- fastlaplace算法 线性最优化问题 最小l1范数-fastlaplace algorithm linear optimization minimum of l1 norm
huitu
- 运用于绘制颅脑模型，32个电极，标准放置，包括耳朵，电极位置，还有头部-plot the model head,you can see the ears,and the location of dainji which is been locaded according the norm