tr087

课程设计时编写的matlab程序代码，实现六自由度运动学逆解算法，完整的图像处理课设，包含所有源代码，汽车图像。( Course designed to prepare the matlab program code, Six degrees of freedom to achieve inverse kinematics algorithm, Complete class-based image processing, contains all of the source code, auto image.)

BACnet模拟设备测试 BACnet模拟设备测试 BACnet模拟设备测试(The SCADA Engine BACnet Device Simulator provides creating and simulating BACnet Devices and Objects to test the functionality of the BACnet network. It comes with the following list of main features. )

this is the C Code file for IR Robot Control

剔除数据异常值，将偏离正常值的数据滤除，使其达到所需的数据效果。(Excluding data outliers, the deviation from the normal data filtering, to reach the desired data results.)

多目标跟踪的粒子滤波器，空间目标识别，采用PM算法，分数阶傅里叶变换计算方面。( Multi-target tracking particle filter, Space target recognition algorithm using PM, Fractional Fourier transform computing.)

Lid-driven cavity using pressure-free velocity Contents 1 Lid-driven cavity using pressure-free velocity formulation 1.1 Theory 1.2 Lid-driven cavity Matlab script 1.3 Diffusion matrix for pressure-free velocity method (DMat4424W.m) 1.4 Convection matrix for pressure-free velocity method (CMat4424W.m) 1.5 Consistent pressure for pressure-free velocity method (GetPres4424W.m) 1.6 GMRES solver with ILU preconditioning and Essential BC (ilu_gmres_with_EBC.m) 1.7 Grade node spacing (regrade.m) 2 references

仿真效率很高的，对HARQ系统的吞吐量分析，现代信号处理中谱估计在matlab中的使用。( High simulation efficiency, HARQ throughput analysis of the system, Modern signal processing used in the spectral estimation in matlab.)

一个师兄的毕设，FIR 底通和带通滤波器和IIR 底通和带通滤波器，在matlab R2009b调试通过。( A complete set of brothers, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter, In matlab R2009b debugging through.)

IMC-PID是利用内模控制原理来对PID参数进行计算，PLS部分最小二乘工具箱,多机电力系统仿真及其潮流计算。( The IMC- PID is using the internal model control principle for PID parameters is calculated, PLS PLS toolbox, Multi-machine power system simulation and flow calculation.)

GRNN的数据预测-基于广义回归神经网络的货运量预测(Prediction of GRNN data based on generalized regression neural network)