analytic

Two days course: Day 1 Part 2 Cartography Introduction

projet de fin d etude

MATLAB FILE USED FOR CODING FOR MPC AND PID CONTROLLER IN A GIVEN PROCESS

M-file for simulating a QPSK transmitter by modulating with a pseudo random bit stream. A serial to parallel conversion of the pseudo random bit stream is performed with mapping of two bits per symbol. A cosine and sine carrier is configured and the I and Q symbols modulate these carriers. The I and Q carriers are combined and time and frequency domain plots are provided showing key waveforms at various positions in the QPSK transmitter. (M-file for simulating a QPSK transmitter b y modulating with a pseudo random bit stream. A s erial to parallel conversion of the pseudo rand om bit stream is performed with mapping of two bi ts per symbol. A cosine and sine carrier is CBMs gured and the I and Q symbols Modulate these CARR IERS. The I and Q carriers are combined and a time nd frequency domain plots are provided showing key waveforms at various positions in the QPSK t ransmitter.)

仿照着《小波去噪中软硬阈值的一种改良折衷法》一文写的程序，对比了软、硬以及软硬阈值折衷法的信噪比及均方根误差。仿真出来之后，原信号的信噪比是负的，不知道为什么？均方根误差的值也比较大，不知何解？信噪比和均方根误差是参照《基于matlab的小波去噪仿真》：吴伟，《信息与电子工程》 一文写的(Modeled on the written procedures of the hard and soft threshold wavelet de-noising an improved compromise " , compared to the soft and hard compromise between the hard and soft threshold signal-to-noise ratio and root mean square error. Out of the simulation, the signal-to-noise ratio of the original signal is negative, do not know why? The value of the root mean square error is relatively large, do not know why? Signal-to-noise ratio and root mean square error with reference to the wavelet denoising matlab-based simulation: Wu Wei, " Information and Electronic Engineering" written)

verilog 源码 基于XILINX FPGA的ofdm通信系统基带设计(Experiment of digital signal processing: parallel filtering experiment code. I hope it will help.)

实现wf功能，matlab源程序(Wf realize functions, matlab source)

异步电动机的矢量控制仿真，用simulink做的，里面还有一个讲解用的PPT。(Induction motor vector control simulation, simulink do, there is also a narrator with the PPT.)

南京大学的多类标签KNN分类器，对模式识别十分重要的作用，有着较好的分类效果，可以充分利用类别信息。(Nanjing university class label KNN classifier, the pattern recognition is an important role, has a good classification effect, can make full use of class information.)

该程序是是针对铒镱共掺光纤激光器仿真速率方程(Simulation rate equation for erbium-ytterbium co-doped fiber laser)