资源列表
Digital_PID_Chap1
- 数字PID算法的Mtalab仿真例程，包含M文件程序和Simulink仿真-Digital PID algorithm of Mtalab simulation routines, including M file and Simulink simulation program
APF_ip_iq
- 基于ip/iq变换的电力系统APF仿真，用于验证控制算法的性能和进行参数选取的辨识-Power system simulation of APF based on IP/IQ transform, is used to verify the performance of the control algorithm and parameters selection of identification
ELM
- In theory, this algorithm tends to provide good generalization performance at extremely fast learning speed.-The experimental results based on a few artificial and real benchmark function approximation and classification problems including very l
ELMsupplement
- 对极限学习机的数据的补充。This paper has demonstrated that ELM can be used efficiently in many applications, however, two more interesting aspects are still open: the universal approximation capability9 of ELM and the performance of ELM in sparse high-dim
PBIL
- 该资源详细地给出了分布估计算法的PBIL算法的具体流程。供学习分布估计算的人参考使用。- PBIL algorithm clc clear clf tic 开始计时 参数设置 Pop_Size=40 Individual_Len=20 每个变量的长度 Variable_Num=2 Learning_Rate=0.01 Iteration_Time
gg_mle
- 这是对广义高斯分布中两个参数alpha,beta的估计方法，对自然图像的大量统计特征就符合这一分布。-function [f, g] = dggbeta(beta, absx) DGGBETA Derivative of generalized Gaussian pdf with respective to beta [F, G] = DGGBETA(BETA, ABSX) Return partial derivative and second order partia
surshrHEDA
- 基于直方图的分布估计算法matlab源程序，测试函数选用的是30维函数 -Distribution histogram-based estimation algorithm matlab source code, test function selected is chosen by the 30-dimensional function is based on the distribution histogram estimation algorithm matlab source code,
matlab
- 自己整理的一些关于matlab中的优化函数利用。其中主要包含了函数，以及函数的输入输出，及相关应用的表格-the using of Some optimization function in matlab
Matlab
- 雷达成像的点目标仿真，通俗易懂，有详细的注释-Radar imaging point target simulation, easy to understand, detailed notes
huffmancode
- 图像的霍夫曼编码，是学习信息论与编码的很好例子-Huffman coding of image is a good example of learning theory and coding
pmsm_vec_SVPWM
- 永磁同步电机矢量控制系统的matlab/simulink仿真模型，是一个同学做的-PMSM SVPWM control
MATLAB-concise
- matlab是一门简单易学的重要工具，一个简明的例程可以事半功倍。-matlab is an easy to learn an important tool for a concise routines can do more with less.