资源列表
jmagLHFZ
- jmag和matlab与psim联合仿真的教程，内容非常详细，英文版的，国内资料非常少。-Jmag and MATLAB and PSIM co simulation tutorial, the content is very detailed, the English version of the domestic information is very small.
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
sqefu
- 单径或多径瑞利衰落信道仿真，一种噪声辅助数据分析方法,在matlab R2009b调试通过。- Single path or multipath Rayleigh fading channel simulation, A noise auxiliary data analysis method, In matlab R2009b debugging through.
fun-V6.3
- 混沌的判断指标Lyapunov指数计算,直线阵采用切比学夫加权控制主旁瓣比，ICA（主分量分析）算法和程序。- Chaos indicator for Lyapunov index calculation, Linear array using cut than learning laid upon the right control of the main sidelobe ratio, ICA (Principal Component Analysis) algorithm and proc
ra730
- 用蒙特卡洛模拟的方法计算美式期权的价格以及基本描述,最小均方误差等算法的MSE的计算,采用波束成形技术的BER计算。- Monte Carlo simulation method of calculating the American option price and basic descr iption, Minimum mean square error MSE calculation algorithm, By applying the beam forming technology of
dxaqg
- 多机电力系统仿真及其潮流计算，各种kalman滤波器的设计，AHP层次分析法计算判断矩阵的最大特征值。- Multi-machine power system simulation and flow calculation, Various kalman filter design, Calculate the maximum eigenvalue judgment matrix of AHP.
gei_v81
- 外文资料里面的源代码，信号处理中的旋转不变子空间法，有信道编码，调制，信道估计等。- Foreign materials inside the source code, Signal Processing ESPRIT method, Channel coding, modulation, channel estimation.
nui_v31
- 主要为数据分析和统计，在matlab R2009b调试通过，最小均方误差（MMSE）的算法。- Mainly for data analysis and statistics, In matlab R2009b debugging through, Minimum mean square error (MMSE) algorithm.
iq245
- 结合PCA的尺度不变特征变换(SIFT)算法，正确率可以达到98％，粒子图像分割及匹配均为自行编制的子例程。- Combined with PCA scale invariant feature transform (SIFT) algorithm, Accuracy can reach 98 , Particle image segmentation and matching subroutines themselves are prepared.
jou_pf63
- 采用热核构造权重，独立成分分析算法降低原始数据噪声，ICA（主分量分析）算法和程序。- Thermonuclear using weighting factors Independent component analysis algorithm reduces the raw data noise, ICA (Principal Component Analysis) algorithm and procedures.
EvoDevoBrain20160920_pdf
- Brain computing papers
EvolutionaryComputation
- Brain computing papers