搜索资源列表
FastLaplace
- fastlaplace算法 线性最优化问题 最小l1范数-fastlaplace algorithm linear optimization minimum of l1 norm
L1_SVD
- 利用压缩感知实现波达方向估计，运用奇异值分解对接收信号进行降维，再利用L1范数进行估计-Using compressed sensing DOA estimation using singular value decomposition to reduce the dimensionality of the received signal, and then using the L1 norm estimate
matlab
- 对节点数N=5的泊松边值问题进行超松弛迭代计算，迭代因子w=1,1.25,1.5。结果输出迭代次数、迭代解与精确解的2-范数以及画图表示最终结果。-The number of nodes N = and The Poisson Boundary Value overrelaxation iterative iterative factor w = 1,1.25,1.5. Output result the number of iterations, the iterative solution
Uvi_Wave300c
- 基于matlab的一个工具箱，在压缩传感的计算中能简化范数的计算流程-Norm calculation process based on a toolbox of matlab to simplify the calculation of compressed sensing
final1
- \演算法判定混和常態,觀察哪種演算法適合用來查證-Algorithms determine the mixed norm
TnormFuzzy
- computing t norm for fuzzy sets with different universe
SnormFuzzy
- computing s norm for fuzzy sets with different universe
mynormex
- 求解函数的各阶范数,如2范数，无穷范数等常用范数-For each order norm, such as the 2 norm, infinite norm etc.
matlab
- 里卖含有很多函数，如求最大值，最小值函数，一范数和二范数相加的问题。-Being sold contain a lot of functions, such as seeking the maximum, minimum function, the sum of a norm and the two norm.
mySVD
- 输入矩阵X和维数d进行SVD分解，使得Xhat = U*S*V 是X的所有秩为d的近似中最好的一个- Accelerated singular value decomposition.Xhat = U*S*V is the best approximation (with respect to F norm) of X among all the matrices with rank no larger than ReducedDim.
sizhong
- 四种传统算法进行DOA估计,前后向线性预测、最大熵、最小模-Four traditional DOA estimation algorithm, the forward and backward linear prediction, maximum entropy, minimum norm
adaptecdemo
- 基于LMS自适应时延估计算法，研究基于分数低阶的时延估计算法，包括:基于共变的时间延迟估计，基于分数低阶协方差的时延估计方法，还有最小平均P范数时延估计方法。 -Delay estimation algorithm based on LMS adaptive research based on the fractional lower order time delay estimation algorithm, including: covariation-based time delay es
adaptequaldemo1fd
- 基于LMS自适应时延估计算法，研究基于分数低阶的时延估计算法，包括:基于共变的时间延迟估计，基于分数低阶协方差的时延估计方法，还有最小平均P范数时延估计方法。 -Delay estimation algorithm based on LMS adaptive research based on the fractional lower order time delay estimation algorithm, including: covariation-based time delay es
adaptfxlmsdemo2fd
- 基于LMS自适应时延估计算法，研究基于分数低阶的时延估计算法，包括:基于共变的时间延迟估计，基于分数低阶协方差的时延估计方法，还有最小平均P范数时延估计方法。 -Delay estimation algorithm based on LMS adaptive research based on the fractional lower order time delay estimation algorithm, including: covariation-based time delay es
adaptgettingstarted3fd
- 基于LMS自适应时延估计算法，研究基于分数低阶的时延估计算法，包括:基于共变的时间延迟估计，基于分数低阶协方差的时延估计方法，还有最小平均P范数时延估计方法。 -Delay estimation algorithm based on LMS adaptive research based on the fractional lower order time delay estimation algorithm, including: covariation-based time delay es
adaptnlmsdemofdfd
- 基于LMS自适应时延估计算法，研究基于分数低阶的时延估计算法，包括:基于共变的时间延迟估计，基于分数低阶协方差的时延估计方法，还有最小平均P范数时延估计方法。 -Delay estimation algorithm based on LMS adaptive research based on the fractional lower order time delay estimation algorithm, including: covariation-based time delay es
adaptrlsdemo4fd
- 基于LMS自适应时延估计算法，研究基于分数低阶的时延估计算法，包括:基于共变的时间延迟估计，基于分数低阶协方差的时延估计方法，还有最小平均P范数时延估计方法。 -Delay estimation algorithm based on LMS adaptive research based on the fractional lower order time delay estimation algorithm, including: covariation-based time delay es
aledemo5fd
- 基于LMS自适应时延估计算法，研究基于分数低阶的时延估计算法，包括:基于共变的时间延迟估计，基于分数低阶协方差的时延估计方法，还有最小平均P范数时延估计方法。 -Delay estimation algorithm based on LMS adaptive research based on the fractional lower order time delay estimation algorithm, including: covariation-based time delay es
CSL1.0
- A Comprehensive Sparse Learning Package-Descr iptions: Six sparse algorithms are implemented in this package. They are 1) SVM 2) L1-norm SVM a) Linear Programming SVM b) SC-SVM 3) L0-norm SVM 4) RVM (Relevance Vector Machine) 5)
apg
- APG 算法实现核函数相关模式问题，发上来分享。大家可以试试！-Accelerated Proximal Gradient Algorithm for Nuclear Norm Regularized Least Squares problems