Support-vector-machine

此为机器人模糊控制中的模糊控制规则，在模糊控制中加入此模糊控制规则，可得到仿真(This is the robot fuzzy control fuzzy control rules, fuzzy control fuzzy control rules by adding this can be obtained simulation)

基于MUSIC算法的二维DOA估计，压缩感知(ODA is estimated based on the MUSIC algorithm is a two-dimensional, compressed sensing)

预测控制与自抗扰结合的经典文献，可参考学习，有一定启发(Predictive control and ADRC combining classic literature, reference study, a certain inspiration)

CHAPTER 1- real-Time Digital Signal Processing: Implementations and Applications, Second Edition by Sen M. Kuo, Bob H. Lee & Wenshun Tian, ISBN 0470014954

说明：  国外关于雷达线性和非线性调频技术的描述包含脉冲压缩结果图(Abroad on the radar, linear and nonlinear FM pulse compression technology, includes a description of the results of Figure)

this contain good description of OD DOA...IT COMPARES VARIOUS TECHNIQUES FOR BEAMFORMING

PSAT包含了：PF-潮流计算；CPF-连续潮流；OPF-最优潮流；SSSA-小扰动分析；TDS-时域仿真；GUI-用户人机界面；GNE-自定义模型等功能。该工具包已经可以计算上千节点规模的系统。而且该软件包源代码完全公开，因此用户可以根据自己的研究兴趣编写修改相应源代码实现研究目的。(PSAT includes: PF-flow calculation CPF-continuous fashion OPF-OPF SSSA-small perturbation analysis TDS-time domain simulation GUI-user machine interface GNE-custom models and other functions. The kit can have thousands of computing nodes scale systems. And the package source code is completely open, so that the user can modify the source code to write research purposes according to their research interests.)

autocov computes the autocovariance between two column vectors X and Y with same length N using the Fast Fourier Transform algorithm from 0 to N-2. The resulting autocovariance column vector acv is given by the formula: acv(p,1) = 1/(N-p) * sum_{i=1}^{N}(X_{i} - X_bar) * (Y_{i+p} - Y_bar) where X_bar and Y_bar are the mean estimates: X_bar = 1/N * sum_{i=1}^{N} X_{i} Y_bar = 1/N * sum_{i=1}^{N} Y_{i} It satisfies the following identities: 1. variance consistency: if acv = autocov(X,X), then acv(1,1) = var(X) 2. covariance consistence: if acv = autocov(X,Y), then acv(1,1) = cov(X,Y)

Simulated Annealing, Traveling Salesman Problem,

包括回归分析和概率统计，FIR 底通和带通滤波器和IIR 底通和带通滤波器，包括最小二乘法、SVM、神经网络、1_k近邻法,D-S证据理论数据融合，保证准确无误，是学习通信的好帮手，关于神经网络控制，FMCW调频连续波雷达的测距测角。( Including regression analysis and probability and statistics, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, D-S evidence theory data fusion, Ensure accurate communication is learning a good helper, On neural network control, FMCW frequency modulated continuous wave radar range and angular measurements.)