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Measurement 的代码
measpnttype.mnu
MEAS#PNT#TYPE
#
Probing
Create a measure step for point measurement.
#
Auto-Center
Create a measure step for auto center point measurement.
#
ex7-2_colored.m
function Colored(flag, corr)
% Kalman filter simulation with colored (time correlated) measurement noise.
% INPUTS:
% flag = 0 means ignore the time correlation of the measurement noise
%
sum_dat.ini
[graph_1]
Measurement_1=vuser_init_Transaction,52#0.315261#0.219877#0.419743#0.074636
Measurement_0=写入数据！,46#0.005753#0.001123#0.041221#0.008266
GraphType=es_tr_response_time
Measurement_num=4
Me
angle_ui.mnu
ANGLE#REF
First#Ent
Specify first of two selections for angular measurement.
#
Second#Ent
Specify second of two selections for angular measurement.
#
howto.tex
\part{HOWTOs}
\chapter{From Conception to Measurement}
\index{From Conception to Measurement|(}
Of course the main idea behind the MSR is that you're able to write
new modules for it. This chapter
msrinfo.mnu
MEASURE#INFO 测量信息
#
Info 信息
Measurement information.
量度信息
Show 显示
Show references of selected measurement.
显示所选的量度参考
simulation.m
%localization using a kalman filter approach
clear all;
%simulation parameter
global diameter_robot measure_var odomtrie_var ...
visu_time hold_rate width X_0 init_kalmann P_0
diameter_robot
kalmanra2.m
%动力调谐陀螺零漂数据的卡尔曼滤波法
%利用AR模型参数的最小二乘估计
clear
clc
%load DriftX2005-10-10.txt;
load S-10F05.DAT;
x=S_10F05;
Data=x(:,2);
%load D1.txt;
%Data=DriftX2005_10_10(1:1000);
%Data=D1(1:1000);
% load
load_part2.m
% this function load the run-time data, save in a single mat file
% called by script_load_part2
% after finishing simulating each case, this function need to be called
% all the analysis is based on t
load_part2.m
% this function load the run-time data, save in a single mat file
% called by script_load_part2
% after finishing simulating each case, this function need to be called
% all the analysis is based on t