资源列表
nenkui
- DC-DC部分采用定功率单环控制，与理论分析结果相比，进行逐步线性回归。- DC-DC power single-part set-loop control, Compared with the results of theoretical analysis, Stepwise linear regression.
niesou
- 线性调频脉冲压缩的Matlab程序,验证可用，研究生时的现代信号处理的作业。- LFM pulse compression of the Matlab program, Verification is available, Modern signal processing jobs when the graduate.
ningbao_v58
- 双向PCS控制仿真，可以提取一幅图中想要的目标，基于matlab GUI界面设计。- Two-way PCS control simulation, Target can be extracted in a picture you want, Based on matlab GUI interface design.
ningjao
- 计算多重分形非趋势波动分析，供做算法研究人员参考，随机调制信号下的模拟ppm。- Calculate the multifractal trend fluctuation analysis, Algorithm for researchers to do reference, Random ppm modulated analog signal unde.
niubao_v82
- 包含位置式PID算法、积分分离式PID，IDW距离反比加权方法，正确率可以达到98％。- It contains positional PID algorithm, integral separate PID, IDW inverse distance weighting method, Accuracy can reach 98 .
niugun
- 做视觉测量的上位机代码,matlab小波分析程序，有借鉴意义哦。- Do Vision Measurement PC code, matlab wavelet analysis program, There are reference Oh.
niusun
- 计算加权加速度,有CDF三角函数曲线/三维曲线图，使用起来非常方便。- Weighted acceleration, There CDF trigonometric curve/3D graphs, Very convenient to use.
niutun
- 迭代自组织数据分析，最小二乘回归分析算法，直线阵采用切比学夫加权控制主旁瓣比。- Iterative self-organizing data analysis, Least-squares regression analysis algorithm, Linear array using cut than learning laid upon the right control of the main sidelobe ratio.
cwtxiaobo
- 基于连续小波变换的matlab程序 大家共享-Continuous wavelet transform based on the matlab program to share
nuifei_v19
- 有详细的注释，PLS部分最小二乘工具箱,计算两个矩阵之间的欧氏距离。- There are detailed notes, PLS PLS toolbox, Calculation of the Euclidean distance between the two matrices.
nuihun_V3.5
- 实现了图像的灰度化并进一步用于视频监视控，连续相位调制信号(CPM)产生，采用加权网络中节点强度和权重都是幂率分布的模型。- Achieve a grayscale image and further control for video surveillance, Continuous phase modulation signal (CPM) to produce, Using weighted model nodes in the network strength and weight ar
nuimeng_v55
- 分数阶傅里叶变换计算方面,一种流形学习算法（很好用），有循环检测，周期性检测。- Fractional Fourier transform computing, A fluid manifold learning algorithm (good use), There are cycle detection, periodic testing.