【 MATLAB 】Filter Data

Filter Data

Filter Difference Equation（滤波器差分方程）

滤波器是一种数据处理技术，可以消除数据中的高频波动或从数据中去除特定频率的周期性趋势。

在MATLAB®中，滤波器功能根据以下差分方程过滤数据x的向量，该差分方程描述了抽头延迟线滤波器。

在该等式中，a和b是滤波器系数的矢量，Na是反馈滤波器阶数，Nb是前馈滤波器阶数。 n是x的当前元素的索引。 输出y（n）是x和y的当前元素和先前元素的线性组合。

滤波函数使用指定的系数向量a和b来过滤输入数据x。 

Moving-Average Filter of Traffic Data

滤波器功能是实现移动平均滤波器的一种方法，这是一种常见的数据平滑技术。
The following difference equation describes a filter that averages time-dependent data with respect to the current hour and the three previous hours of data.

（以下差分方程描述了一个过滤器，它根据当前小时和前三个小时的数据平均时间相关数据。）

导入描述流量随时间变化的数据，并将第一列车辆计数分配给向量x。

  

   

    

     

    
    

     

      clc
     
    
   

    

     

    
    

     

      clear
     
    
   

    

     

    
    

     

      close all
     
    
   

    

     

    
    

     
 
     
    
   

    

     

    
    

     

      % Import data that describes traffic flow over time, and assign the first column of vehicle counts to the vector x.
     
    
   

    

     

    
    

     

      load count.dat
     
    
   

    

     

    
    

     

      x = count(:,1);
     
    
   

    

     

    
    

     
 
     
    
   

    

     

    
    

     

      % Create the filter coefficient vectors.
     
    
   

    

     

    
    

     

      a = 1;
     
    
   

    

     

    
    

     

      b = [1/4 1/4 1/4 1/4];
     
    
   

    

     

    
    

     
 
     
    
   

    

     

    
    

     

      % Compute the 4-hour moving average of the data, and plot both the original data and the filtered data.
     
    
   

    

     

    
    

     

      y = filter(b,a,x);
     
    
   

    

     

    
    

     
 
     
    
   

    

     

    
    

     

      t = 1:length(x);
     
    
   

    

     

    
    

     

      plot(t,x,'--',t,y,'-')
     
    
   

    

     

    
    

     

      legend('Original Data','Filtered Data')
     
    
   

    

     

    
    

     
 
     
    
  
 

Modify Amplitude of Data

This example shows how to modify the amplitude of a vector of data by applying a transfer function.
In digital signal processing, filters are often represented by a transfer function. The Z-transform of the difference equation

此示例显示如何通过应用传递函数来修改数据矢量的幅度。
在数字信号处理中，滤波器通常由传递函数表示。 差分方程的Z变换

is the following transfer function.

Use the transfer function

to modify the amplitude of the data in count.dat.

  

   

    

     

    
    

     

      clc
     
    
   

    

     

    
    

     

      clear
     
    
   

    

     

    
    

     

      close all
     
    
   

    

     

    
    

     
 
     
    
   

    

     

    
    

     

      % Load the data and assign the first column to the vector x.
     
    
   

    

     

    
    

     

      load count.dat
     
    
   

    

     

    
    

     

      x = count(:,1);
     
    
   

    

     

    
    

     
 
     
    
   

    

     

    
    

     

      % Create the filter coefficient vectors according to the transfer function .
     
    
   

    

     

    
    

     

      a = [1 0.2];
     
    
   

    

     

    
    

     

      b = [2 3];
     
    
   

    

     

    
    

     
 
     
    
   

    

     

    
    

     

      % Compute the filtered data, and plot both the original data and the filtered data. This filter primarily modifies the amplitude of the original data.
     
    
   

    

     

    
    

     

      y = filter(b,a,x);
     
    
   

    

     

    
    

     
 
     
    
   

    

     

    
    

     

      t = 1:length(x);
     
    
   

    

     

    
    

     

      plot(t,x,'--',t,y,'-')
     
    
   

    

     

    
    

     

      legend('Original Data','Filtered Data')
     
    
   

    

     

    
    

     
 
     
    
  
 

文章来源: reborn.blog.csdn.net，作者：李锐博恩，版权归原作者所有，如需转载，请联系作者。

原文链接：reborn.blog.csdn.net/article/details/83314727