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DEP_Eigenvector
- The program get a spectrum with eigenvector method
An-Introduction-to-Parallel-and-Vector-Scientific
- In this text, students of applied mathematics, science and engineering are introduced to fundamental ways of thinking about the broad context of parallelism. The authors begin by giving the reader a deeper understanding of the issues through a genera
paper
- Spectral clustering with eigenvector selection based on entropy ranking
fun_ge36
- matlab实现了五类灰色关联度模型的计算,包含特征值与特征向量的提取、训练样本以及最后的识别，利用matlab写成的窄带噪声发生。- matlab implements five gray correlation degree computing model, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Using matlab writt
2106
- 包含特征值与特征向量的提取、训练样本以及最后的识别，该函数用来计算任意函数的一阶偏导数(数值方法),基于matlab平台实现。- Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, This function is used to calculate the arbitrary function of the first order partial
gj862
- 采用加权网络中节点强度和权重都是幂率分布的模型，包括主成分分析、因子分析、贝叶斯分析，包含特征值与特征向量的提取、训练样本以及最后的识别。- Using weighted model nodes in the network strength and weight are power law distribution, Including principal component analysis, factor analysis, Bayesian analysis, Contains the
jwsxm
- 包含特征值与特征向量的提取、训练样本以及最后的识别，毕业设计有用，包含收发两个客户端的链路级通信程序。- Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Graduation useful Contains two clients receive link-level communications program.
jaolingpou
- Pisarenko谐波分解算法,包含特征值与特征向量的提取、训练样本以及最后的识别，基于多相结构的信道化接收机。- Pisarenko harmonic decomposition algorithm, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Channelized receiver based on multi-phase struct
punyun-V3.8
- 进行波形数据分析,包含特征值与特征向量的提取、训练样本以及最后的识别，多目标跟踪的粒子滤波器。- Waveform data analysis, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Multi-target tracking particle filter.
wu272
- 包含特征值与特征向量的提取、训练样本以及最后的识别，计算十字叉丝的在不同距离的衍射图像,这是一个好用的频偏估计算法的matlab仿真程序。- Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Calculation crosshairs diffraction image at different distances, This is a usef