sdma_program

目标跟踪，程序利用卡尔曼滤波器实现了对机动目标的跟踪。效果较好的运动模型。 (Target tracking, procedures realize the use of Kalman filter for maneuvering target tracking. Better model of the movement.)

无刷直流电动机矢量控制模型,控制IGBT而改变输入的.(The vector control model of Brushless DC Motor. Brushless DC Motor drived by IGBT)

跳频信号是新的通信与雷达信号的一种，其保密性强，不易受噪声干扰，但解调复杂。本程序给出了高斯白噪声情况下调频信号的模拟过程，供通信和雷达专业的师兄弟参考。这是本文论文一部分的程序(FH signal is a new kind of communications and radar signals, and its confidentiality, less susceptible to noise interference, but the demodulation complexity. This procedure gives the Gaussian white noise process of FM analog signals for communication and radar fellow professional reference. This is a part of this thesis, the procedures)

说明：  generate white noise

本程序的功能是：实现信号从时域到频域的快速傅里叶变换。(Realize the signal conversion from time domain to frequency domain.)

Matlab中宽带随机信号的产生，用于连续小波变换的源信号(Matlab generate broadband random signals, signal source for continuous wavelet transform)

一个压控振荡器的代码 简单实用,是初学者的最佳选择 可以帮助深入了解电路设计(a vco matlab code very suitable for circuit design freshman )

位置指令为幅值为1.0的阶跃信号，r（k）=1.0。网络结构为1-4-1，高斯函数的参数值取Cj=[-2 -1 1 2]T ，B=[0.5 0.5 0.5 0.5]T 。 网络权值学习参数为η=0.30，α=0.05 。PID控制各参数的初RBF网络控制，被控对象为G（s）= 取采样时间为1ms，采用Z变换进行离散化，离散化后的被控对象为 y(k)=-den(2)*y（k-1）-den(3)*y(k-2)+num(2)*u(k-1)+num(3)*u(k-2) 始值为，kp=20， kd=0.3， ki=0.1。 (Position command for the step signal amplitude of 1.0, r (k) = 1.0. The network structure is 1-4-1, the Gaussian function parameters taken Cj = [-2-1 1 2] T, B = [0.5 0.5 0.5 0.5] T. Weight learning parameter η = 0.30, α = 0.05. PID control parameters at the beginning of each RBF network control, the controlled object is G (s) = take the sampling time is 1ms, using the Z transform discrete, discretized controlled object is y (k) =-den (2)* y (k-1)-den (3)* y (k-2)+num (2)* u (k-1)+num (3)* u (k-2) initial value, kp = 20, kd = 0.3, ki = 0.1.)

核PCA和PCA用于故障检测与诊断，对故障有很好的监控能力(Nuclear PCA and PCA for fault detection and diagnosis of faults have a good monitoring capability)

倒立摆模型源码及机构图，可以方便大家对于倒立摆模型的应用及改造(Inverted pendulum model source and organization chart, can facilitate the application of the inverted pendulum model and transformation)