Matlab学习-自定义函数

常用自定义函数

1. 打印时间

function result = calculate_time(time)% Function describe : calculate time% Input  : time:N*1% Output : result.hour/min/sec = hour/min/sec%                   result.fre = Sampling ratedt = time(2) - time(1);freq = 1/dt;result.fre = freq;total_time = size(time,1)*dt;hour = floor(total_time/3600);min = floor(mod(total_time,3600)/60);sec = total_time-3600*hour-60*min;result.hour = hour;result.min = min;result.sec = sec;s = sprintf('Time length: %dh-%dm-%.2fs, time diff: %f s, frequency: %d Hz\n', hour, min, sec, dt, round(freq));disp(s);end

2. 计算统计参数

function result = statistical_analysis(data)
% Input : data: analyser data
% Output: result = [rms std mean max min median]row = size(data,2);flage.mean = false;  % true: abs     flase: raw datafor i = 1:rowresult(i,1) = sqrt(mean(data(:,i).^2));     % rmsresult(i,2) = std(data(:,i));               % stdif (flage.mean)result(i,3) = mean(abs(data(:,i)));     % meanresult(i,4) = max(abs(data(:,i)));      % maxresult(i,5) = min(abs(data(:,i)));      % minresult(i,6) = median(abs(data(:,i)));   % medianelseresult(i,3) = mean(data(:,i));result(i,4) = max(data(:,i));          % maxresult(i,5) = min(data(:,i));          % minresult(i,6) = median(data(:,i));       % medianendendprecision = 3;result = round(result,3);vnames = {'rms','std','mean','max','min','median'};result = array2table(result,'VariableNames',vnames);end

3. 画图函数

function setting_figure()
% Drawing Parameter Settingsgrid on;set(gca,'ygrid','on','gridlinestyle','--','Gridalpha',0.5,'linewidth',2);set(gcf,'color','w');set(gca,'Fontsize',25);print(gcf,'-clipboard','-dbitmap');
end