资源列表
Fusion-based-Sensor-Placement
- 论文 在使用无线传感器网络进行目标检测时,如何布置尽可能少的传感器节点而同时实现高的正确检测概率和 低的误警率,是关键问题之一。采用数据融合技术,能实现传感器节点之间的协同,从而大幅提高目标检测精度。提 出了用于目标检测的精度模型,分析了数据融合半径与传感器节点密度之间的关系,设计聚类方法将目标点组织成布 置单元,从高密度单元到低密度单元布置传感器节点覆盖目标区域。仿真结果表明,算法在保证检测精度的同时能有 效减少所使用的传感器节点数目。 - Sensor placeme
fdtd
- 三维的FDTD实现，采用CPML边界，较为详细的注释-Three-dimensional FDTD using CPML border, more detailed notes
Fermat_RSAkey
- 从RSAkey.txt中读取已生成的RSA密钥，形如n=pq（p和q皆为素数）的大整数，采用费马因子分解法对其分解，输出分解的结果和所费时间（单位为秒）。-Read from the RSAkey.txt RSA key, shaped like a large integer n = pq (p and q are prime numbers), using Fermat factorization method, decomposition, output decomposition res
3-D-Ducan-Zhang-UMAT
- 基于ABAQUS UMAT二次开发的三维邓肯-张本构模型-A program for 3-D Ducan-Zhang model based on ABAQUS UMAT
Shear-model
- 基于abaqus umat的切刚度弹塑性本构模型-Program for shear stiffness elastic plastic model based on abaqus umat
liu
- 状态模型的极大似然估计，使用EM算法，以及卡尔曼滤波。-This supplementary note discusses the maximum likelihood esti-mation of state space models using Expectation-Maximization (EM) algorithm and bootstrap procedure for statistical inference. A Matlab program scr ipt impleme
C-Cmethod
- C-C method 计算混沌系统相空间重构的嵌入维数和时间延迟-CC Method to calculate the phase space reconstruction of chaotic systems embedding dimension and time delay
armadillo-3.800.2.tar
- 强大的矩阵库，很好用。内部还有使用说明书和代码例子-Powerful matrix library, is useful. There are internal instructions and code examples
fft
- 用c语言编写fft程序，实现对信号的数字化处理，有利于对信号的频谱分析-use c to achieve fft
test
- 生成真值表，F=X1Xk+1V....,产生文件，保存-Generated the truth table, F = X1Xk+1V, .... generated file, save
InTech-Multiobjective_optimal_design
- Multiobjective optimal design of an inverter fed axial flux permanent magnet in wheel motor for electric vehicles.pdf
Givens-method
- 用Givens方法求解矩阵本征值，通过迭代得到矩阵本征值，精度很高-Use Givens method to compute Eigenvalue and Eigenvector of Matrix