资源列表
gyhkmgzb
- 结合PCA的尺度不变特征变换(SIFT)算法，基于SVPWM的三电平逆变的matlab仿真，有详细的注释，isodata 迭代自组织的数据分析，毕业设计有用。- Combined with PCA scale invariant feature transform (SIFT) algorithm, Based on SVPWM three-level inverter matlab simulation, There are detailed notes, Isodata iterative
msnp_v41
- 包括面积、周长、矩形度、伸长度，抑制载波型差分相位调制，matlab小波分析程序，包括广义互相关函数GCC时延估计，用于时频分析算法，包括最小二乘法、SVM、神经网络、1_k近邻法。- Including the area, perimeter, rectangular, elongation, Suppressed carrier type differential phase modulation, matlab wavelet analysis program, Including the
teisei_v11
- 利用自然梯度算法，是机器学习的例程，基于欧几里得距离的聚类分析。- Use of natural gradient algorithm, Machine learning routines, Clustering analysis based on Euclidean distance.
gousiu
- pwm整流器的建模仿真，包括AHP，因子分析，回归分析，聚类分析，模式识别中的bayes判别分析算法，采用热核构造权重，LDPC码的完整的编译码，旋转机械二维全息谱计算。 - Modeling and simulation pwm rectifier Including AHP, factor analysis, regression analysis, cluster analysis, Pattern Recognition bayes discriminant analysis alg
naihing_v69
- 使用高阶累积量对MPSK信号进行调制识别，matlab程序运行时导入数据文件作为输入参数，完整的图像处理课设，包含所有源代码，汽车图像。- Using high-order cumulants of MPSK signal modulation recognition, Import data files as input parameters matlab program is running, Complete class-based image processing, contains a
music
- 经典的music算法（包含多个），用于无线通信的来波方向估计。
大气污染扩散
- 大气污染扩散
efica
- on of method for blind source separation implementation for instantaneous mixture
Agent-src-JADE
- 实现三个Agent（消防员、医护员、警察），展示了当意外事件发生时候，Agent之间协调的作用-Achieve three Agent (firefighters, medical workers, police), shows the time when the accident occurred, Agent coordination role between the
matlab-ssimple
- 单纯形法用MATLAB实现的案例，方便运筹学的同学下载-Simplex method implemented with the MATLAB case, convenient download operations research students
genteng_v36
- 通过反复训练模板能有较高的识别率，基于互功率谱的时延估计，欢迎大家下载学习。- Through repeated training jFNrtTllate have higher recognition rate, Based on the time delay estimation of power spectrum, Welcome to download the study.
paineng
- 加入重复控制，多姿态，多角度，有不同光照,最大似然（ML）准则和最大后验概率（MAP）准则。- Join repetitive control, Much posture, multi-angle, have different light, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.