I am new to using matlab and signal processing in general and can't figure out how to implement a low pass filter. I have these digital signal that's a vector and would like to run it through a low pass fiter of 40hz or if at all possible a bandpass filter .53-40hz (12db/oct). I have access to the signal processing toolbox but can't figure out how. Any help is appreciated.
Matlab – Low Pass filter on a digital signal in matlab
filterMATLABsignal processing
Related Solutions
Here is a Butterworth Low Pass filter I wrote for a recent project.
It has some magic numbers as constants that was given to me. If you can figure out how to create the magic numbers with your poles, coefficients, etc, then this might be helpful.
using System;
using System.Collections.Generic;
using System.Text;
namespace Filter
{
public class ButterworthLowPassFilter
{
//filter fc = 2hz, fs = 10hz
private const int LowPassOrder = 4;
private double[] inputValueModifier;
private double[] outputValueModifier;
private double[] inputValue;
private double[] outputValue;
private int valuePosition;
public ButterworthLowPassFilter()
{
inputValueModifier = new double[LowPassOrder];
inputValueModifier[0] = 0.098531160923927;
inputValueModifier[1] = 0.295593482771781;
inputValueModifier[2] = 0.295593482771781;
inputValueModifier[3] = 0.098531160923927;
outputValueModifier = new double[LowPassOrder];
outputValueModifier[0] = 1.0;
outputValueModifier[1] = -0.577240524806303;
outputValueModifier[2] = 0.421787048689562;
outputValueModifier[3] = -0.0562972364918427;
}
public double Filter(double inputValue)
{
if (this.inputValue == null && this.outputValue == null)
{
this.inputValue = new double[LowPassOrder];
this.outputValue = new double[LowPassOrder];
valuePosition = -1;
for (int i=0; i < LowPassOrder; i++)
{
this.inputValue[i] = inputValue;
this.outputValue[i] = inputValue;
}
return inputValue;
}
else if (this.inputValue != null && this.outputValue != null)
{
valuePosition = IncrementLowOrderPosition(valuePosition);
this.inputValue[valuePosition] = inputValue;
this.outputValue[valuePosition] = 0;
int j = valuePosition;
for (int i = 0; i < LowPassOrder; i++)
{
this.outputValue[valuePosition] += inputValueModifier[i] * this.inputValue[j] -
outputValueModifier[i] * this.outputValue[j];
j = DecrementLowOrderPosition(j);
}
return this.outputValue[valuePosition];
}
else
{
throw new Exception("Both inputValue and outputValue should either be null or not null. This should never be thrown.");
}
}
private int DecrementLowOrderPosition(int j)
{
if (--j < 0)
{
j += LowPassOrder;
}
return j;
}
private int IncrementLowOrderPosition(int position)
{
return ((position + 1) % LowPassOrder);
}
}
}
Keith
Look at the filter
function.
If you just need a 1-pole low-pass filter, it's
xfilt = filter(a, [1 a-1], x);
where a = T/τ, T = the time between samples, and τ (tau) is the filter time constant.
Here's the corresponding high-pass filter:
xfilt = filter([1-a a-1],[1 a-1], x);
If you need to design a filter, and have a license for the Signal Processing Toolbox, there's a bunch of functions, look at fvtool and fdatool.
Best Answer
There is more then one option to applying a digital filter in Matlab. The doc is very good, so it is a good starting point to look at it and follow the examples:
conv
for filtering using a FIR filter