Matlab学习-自定义函数

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 rate
    dt = 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 data

    for i = 1:row
        result(i,1) = sqrt(mean(data(:,i).^2));     % rms
        result(i,2) = std(data(:,i));               % std
        if (flage.mean)
            result(i,3) = mean(abs(data(:,i)));     % mean
            result(i,4) = max(abs(data(:,i)));      % max
            result(i,5) = min(abs(data(:,i)));      % min
            result(i,6) = median(abs(data(:,i)));   % median
        else
            result(i,3) = mean(data(:,i));
            result(i,4) = max(data(:,i));          % max
            result(i,5) = min(data(:,i));          % min
            result(i,6) = median(data(:,i));       % median
        end
    end

    precision = 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 Settings
    grid on;
    set(gca,'ygrid','on','gridlinestyle','--','Gridalpha',0.5,'linewidth',2);
    set(gcf,'color','w');
    set(gca,'Fontsize',25);
    print(gcf,'-clipboard','-dbitmap');
end