Clear all variables except the initial variables, using the function form ofclearvars. When using the function form of a syntax, enclose input character vectors in single quotes, and separate them with commas. clearvars('-except',initialVars{:}) ...
Clear all variables except the initial variables, using the function form ofclearvars. When using the function form of a syntax, enclose input character vectors in single quotes, and separate them with commas. clearvars('-except',initialVars{:}) ...
clear mexdoes not clear locked MEX functions or functions that are currently in use. variables ✓ Note If the name of a variable is a value ofItemType, then callingclearfollowed by that name deletes the variable with that name.cleardoes not interpret the name as a keyword in this context...
rows=20; % variable for # rows stripes=5;% variable for # stripes % make one column of 1's and an adjacent column of 0's x=horzcat(ones(rows,1),zeros(rows,1)); y=[]; %initialize and clear y matrix for n=1:stripes y=horzcat(y,x);% concatenate x onto y end clim=[0 1]...
clear a = magic(4); save mydata1.mat save mydata2.mat -ascii 输出结果 注意:用‘-ascii’可以在记事本中查看内容,否则只显示表头内容 (2)Load data stored in a file: load('mydata1.mat') load('mydata2.mat','-ascii') 3)How does one save a specific variable(如何存储某个特定的变量)...
房间温度在25摄氏度左右,测量误差为正负0.5摄氏度,方差0.25,R=0.25。Q=0.01,A=1,T=1,H=1。 假定快时刻的温度值、测量值为23.9摄氏度,房间真实温度为24摄氏度,温度计在该时刻测量值为24.5摄氏度,偏差为0.4摄氏度。利用k-1时刻温度值测量第k时刻的温度,其预计偏差为: P(k|k-1)=P(k-1)+Q=0.02 卡尔...
One form of this function is >> variable = input('Enter data: '); Enter data: 67.3 The input function displays the text as a prompt and then waits for a numeric entry from the keyboard, 67.3 in this example. This is assigned to variable when the return key is pressed. Scalar values...
rows=20; % variable for # rows stripes=5;% variable for # stripes % make one column of 1's and an adjacent column of 0's x=horzcat(ones(rows,1),zeros(rows,1)); y=[]; %initialize and clear y matrix for n=1:stripes y=horzcat(y,x);% concatenate x onto y ...
% The input is the candidate channels from one of the 10 significant variables, % while the output is a channel subset of the specific variable. % The optimization of channel selection was performed over all 10 variables. data_type = 'integral'; ...
clear;clc; close all %% Parameters N = 1e5; b = 0.279; m = 2; Omega = 0.251; %% Generate Shadowed Rician Random Number X = ShadowedRicianRandGen(b,m,Omega,N); %% Points for which distribution has to be evaluated x = linspace(0,5,1000); ...