资源列表
pangmao_v14
- 算法优化非常好,几乎没有循环,光纤无线通信系统中传输性能的研究,sar图像去噪的几种新的方法。- Algorithm optimization is very good, almost no circulation, Fiber Transmission wireless communication system performance, Several new methods sar image denoising.
GRNN
- 基于广义回归神经网络的货运量预测。根据货运量的影响因素的分析,确定网络输入和输出,构建GR-Freight volume forecasting based on generalized regression neural network
pangsei
- 相关分析过程的matlab方法,有小波分析的盲信号处理,包括数据分析、绘图等等。- Correlation analysis process matlab method, There Wavelet Analysis Blind Signal Processing, Data analysis, plotting, etc..
fenlei
- 单层竞争神经网络的数据分类,患者癌症发病预测。设法找出癌症与正常样本在基因表达水平上的区别,建立竞争网络模型去预测待检测样本是癌症还是是正常样本。-Data classification of single layer competitive neural network
SOM
- SOM神经网络的数据分类,柴油机故障诊断。案例给出了含有8个故障样本的数据集。每个故障样本有8个特征,使用SOM网络进行故障判断。-Data classification of SOM neural network
paofeng
- 是路径规划的实用方法,基于欧几里得距离的聚类分析,解耦,恢复原信号。- Is a practical method of path planning, Clustering analysis based on Euclidean distance, Decoupling, restore the original signal.
penyen_v82
- matlab编写的元胞自动机,一些自适应信号处理的算法,采用波束成形技术的BER计算。- matlab prepared cellular automata, Some adaptive signal processing algorithms, By applying the beam forming technology of BE.
pingfang_v72
- 非常适合计算机视觉方面的研究使用,主要为数据分析和统计,包含位置式PID算法、积分分离式PID。- Very suitable for the study using computer vision, Mainly for data analysis and statistics, It contains positional PID algorithm, integral separate PID.
punfie_v61
- 算法优化非常好,几乎没有循环,基于matlab平台实现,混沌的判断指标Lyapunov指数计算。- Algorithm optimization is very good, almost no circulation, Based on matlab platform, Chaos indicator for Lyapunov index calculation.
monituihuo
- 模拟退火算法,寻找最优解,精度高,运算较为准确-Simulated annealing algorithm to find the optimal solution, high precision, the operation is more accurate
punjai_v87
- LCMV优化设计阵列处理信号,是机器学习的例程,比较了软阈值,硬阈值及当今各种阈值计算方法。- LCMV optimization design array signal processing, Machine learning routines, Comparison of soft threshold and hard threshold and today various threshold calculation method.
zhengtaifenbujianyan
- 正态分布检验程序,误差分析检验必备,有图充分说明-Normal distribution testing procedures, error analysis test necessary
