zuoye

说明：  包含多尺度分解，小波分解及重构等程序，易于学习(xiaobofenxi)

this code describes distribution of motes randomly in matlab

基于Matlab的cdma2000前向业务信道仿真(based on the cdma2000 Matlab to the business channel simulation)

机动车驶入停车场对非机动车交通流的影响仿真，T_type是主程序(Vehicle into the parking lot of non-motorized transport stream simulation, T_type is the main program)

this code is a Mean shift example

说明：  MATLAB在六维腕力传感器系统标定中的应用，学习Matlab的好东西。(MATLAB in the six-axis wrist force sensor system calibration of the application, learning the good things Matlab.)

三种不同的算法估计，估计均方差与信噪比的关系。(Three different algorithms is estimated that the estimated mean square error and SNR. )

硕士学位论文捷联惯性系统初始对准研究 惯导系统的初始对准是影响系统使用性能的关键技术之一，对准的精度与速度直接关系到惯性统的精度与启动特性。对卡尔曼滤波及其在初始对准中的应用进行了研究。首先介绍了卡尔曼滤波理论的应用背景，然后推导了离散卡尔曼滤波方程，并对连续系统的状态方程进行离散化提出了适用于舰载捷联惯性系统的动基座对准的2通道10个状态变量和2通道12个状态变量的系统动态模型，并建了相应的速度匹配和位置匹配量测模型。 (master's degree thesis SINS initial alignment study INS initial alignment is affecting system performance one of the key technologies, the alignment precision and speed is directly related to the precision inertial reunification with the startup characteristics. The Kalman filter and the initial alignment of the study. First introduced the theory of Kalman filtering background, and then reasoned a discrete Kalman filter equations, also for the state of discrete equations apply to the carrier SINS System Moving Base Alignment of two channels 10 state variables and two 12-channel system state variables dynamic model and built a corresponding speed matching and position matching measurement model.)

3GPP LTE采用的信道仿真模型，目前在3GPP中的提案均采用这一种信道模型，源码是经过国外著名大学和公司联合完成的，极具珍藏价值。(3GPP LTE the channel simulation model, 3 GPP in the proposal were adopted this channel model. OSS was famous overseas universities and companies jointly complete the great commemorative value.)

建立LibSVM预测模型，基于网格算法、粒子群算法、遗传算法优化了模型参数，并由最终模型预测了给定切削参数下零件的粗糙度等级。(Establish LibSVM prediction model, grid-based algorithm, particle swarm optimization, genetic algorithm to optimize the parameters of the model, the final model prediction given by the cutting parameters of parts roughness class.)