AO

用matlab编程实现GPS数据的采集与存储。(Implementation matlab programming using GPS data collection and storage.)

Optimization of PID Parameters Using SIMULIN K and Optimization Toolbox

MODEL BASED ALGORITHM FOR SINGULAR POINT DETECTION

mcm 论文This is the first in a series of videos that will go through the process of planing and implementation of a simple GUI. Realistically, I would not plan out a GUI this simple, but the idea is to show what my planning process is on a simple example. The purpose of this GUI is to: 1.Select an Excel file and read it into the MATLAB workspace 2.Modify the data that came from the file. In this case by multiplying by a scalar 3.Write the modified data into an Excel file with a name derived from the original filename(mcm outstanding This is the first in a series of videos that will go through the process of planing and implementation of a simple GUI. Realistically, I would not plan out a GUI this simple, but the idea is to show what my planning process is on a simple example. The purpose of this GUI is to: 1.Select an Excel file and read it into the MATLAB workspace 2.Modify the data that came from the file. In this case by multiplying by a scalar 3.Write the modified data into an Excel file with a name derived from the original filename)

文章A New Efficient Low-Complexity Scheme for Multi-Source Multi-Relay Cooperative Networks的仿真MATLAB代码，值得拥有。(This paper proposes a new efficient scheme for the combined use of cooperative diversity and multiuser diversity.)

The timing_recovery_1.mdl uses Simulinks variable step solver to create a continous time QPSK signal with both carrier and symbol rate errors. This is a relativly straight forward approach, but is computationally expensive. The sescond model, timing_recovery_2Q.mdl uses a purely discrete time approach using the same fractional sample delay approach as does the receiver. This can run much faster.

本文档为包含两台发电机的电力系统故障仿真文档(This document contains two for the generator power system failure simulation document )

CHORDSOL Chord method code for scalar equations. This code terminates on small relative-absolute errors, function [X, HIST] = CHORDSOL(X, F, TOLA, TOLR) Inputs: X = initial iterate F = function TOLA = absolute error tolerance TOLR = relative error tolerance Output: x=approximate result

神经网络,数字识别,水印程序,matlab 里面有关于matlab数字识别的多份代码及资料， (Neural network, digital identification, watermark program, matlab inside matlab figures on the number of identification code and information)

完成信号和调制与频谱分析.并进行相关的图形显示(completed with the modulation signal and spectrum analysis. And the graphics)