rf_system_simulation_with_Matlab

six phase induction motor with field orent control

对载波相位平滑伪距的原理和数据预处理进行了探讨,给出提高其定位精度的处理方法和流程。通过 两个算例得到如下结论:对C1和P2码进行相位平滑可有效提高伪距定位精度,较长时间观测定位精度可达1 m 左右,利用精密星历改进后,平滑伪距的定位精度可达0. 5 m左右 对P1和P2码进行相位平滑对定位精度提高不 大,较长时间观测平滑前后的定位精度均可达到0. 6 m,利用精密星历改进后,精度可达0. 3 m 在动态测量后处理 中,绝大部分历元利用精密星历结合相位平滑的定位精度可达2 m。 (The principle and data preprocessing ofcarrier smoothed pseudorange are discussed and themethod which can improve the positioning accuracy and its flow are given.W ith thismethod two computation examples are made.The results show tha:t 1)the accuracy can be improved efficiently by using smoothed C1and P2pseudorange in static data processing, the accuracy can reach 1m if the time is long and can attain 0. 5m if the precise ephem- eris is taken 2)the accuracy can be boosthardly by using smoothed P1and P2pseudorange, but the accuracy can be improved from 0. 6m to 0. 3m if the time is long enough and the precise ephemeris isused 3)mostepochs can reach to the accuracy of2 m precision in kinematic positions if the smoothed code and precise ephemeris are uti- lized. )

说明：  基于matlab的软件接收机，利用离线中频数据，实现从捕获、跟踪到定位的一系列过程(The software receiver based on MATLAB realizes a series of processes from acquisition, tracking to positioning by using offline IF data.)

BP算法数值实验的四个程序,实验一：给定七个输入的单层神经元以及输入P，比较不同传递函数所得到的输出结果。实验二：训练单层神经元BP网络，使其权值和阈值符合一定的精度，并给出误差曲面和动态逼近过程。实验三：训练一个隐层（含五个神经元）的单输出BP网络，给出动态逼近过程和训练好的权值和阈值。实验四：设计一个三层BP网络，实现对非线性正弦函数的逼近。(The four programs of the BP algorithm numerical experiments.)

this is matlab code for the paper solved on the DWT SVD and DCT

PEGSIS协议仿真 包含很多东西 通讯协议仿真 可用于对比 MATKLAB(PEGASIS Protocol Simulation)

说明：  此程序用matlab编码，可以生成随机骨料，适用于有限元分析。。。。(This program is progressed by matlab, which can generate the concretebone. It can be used in finte element analysis.)

说明：  基于matlab函数对模拟信号的调制，可以熟悉的掌握用matlab对模拟信号的调制、解调。(Matlab function-based modulation of the analog signal can be familiar with the master using matlab analog signal modulation, demodulation.)

此代码基于经验模态分解的去趋势波动分析,可以让你输入噪声信号而得到去噪后的输出结果(This code allows you to input a noisy signal and provides the denoised output using empirical mode decomposition-detrended fluctuation analysis)

基于Fisher判据的判别式面向特征的字典学习方法用于组织病理图像分类(Discriminant feature oriented dictionary learning method based on Fisher criterion for histopathological image classification)