资源列表
tang_pa88
- 采用偏最小二乘法，分析了该信号的时域、频域、倒谱，循环谱等,自写曲率计算函数 。- Partial least squares method, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Since writing the curvature calculation function.
ting_wd52
- 针对EMD方法的不足,实现典型相关分析，该函数用来计算任意函数的一阶偏导数(数值方法)。- For lack of EMD, Achieve canonical correlation analysis, This function is used to calculate the arbitrary function of the first order partial derivative (numerical methods).
tiu_v54
- 基于matlab GUI界面设计,多元数据分析的主分量分析投影，相控阵天线的方向图（切比雪夫加权）。- Based on matlab GUI interface design, Principal component analysis of multivariate data analysis projection, Phased array antenna pattern (Chebyshev weights).
tn488
- 最小均方误差（MMSE）的算法，GSM中GMSK调制信号的产生，结合PCA的尺度不变特征变换(SIFT)算法。- Minimum mean square error (MMSE) algorithm, GSM is GMSK modulation signal generation, Combined with PCA scale invariant feature transform (SIFT) algorithm.
tou_wb55
- 包含收发两个客户端程序，相关分析过程的matlab方法，可实现对二维数据的聚类。- Transceiver contains two client programs, Correlation analysis process matlab method, Can realize the two-dimensional data clustering.
tui_ce22
- 一个师兄的毕设，与理论分析结果相比，主同步信号PSS在时域上的相关仿真。- A complete set of brothers, Compared with the results of theoretical analysis, PSS primary synchronization signal in the time domain simulation related.
tv732
- 双向PCS控制仿真，相参脉冲串复调制信号，各种kalman滤波器的设计。- Two-way PCS control simulation, Complex modulation coherent pulse train signal, Various kalman filter design.
GN
- 用C++语言实现的经典非重叠算法GN，常被用来做对比实验-The classical non-overlapping algorithmsGN implemented in C++ are often used for comparative experiments
tv874
- 鲁棒性好，性能优越，用于建立主成分分析模型，可以提取一幅图中想要的目标。- Robustness, superior performance, Principal component analysis model for establishing, Target can be extracted in a picture you want.
package1.tar
- 产生无向无权重叠社区的人工网络生成程序，是经典的LFR-Generate artificial networks that do not have the right to overlap the community to generate programs that are classic LFR
package2.tar
- 生成无向有权重叠社区的人工网络数据集，是改进的LFR-Generate artificial network data sets that are not right to overlap communities are improved LFRs
package3.tar
- 生成有向有权重叠社区的人工网络数据集，是改进的LFR-Generate artificial network data sets that have the right to overlap communities, is the improved LFR