Class MovingAvg

Moving-average low-pass filter

This filter is causal, meaning that for calculating the filtered value at time k it does not use future values such as k+1, this is at the expense of introducing a time-shift/phase-shift.

This is a finite-impulse-response type filter.

An alterntive to this filter is LowPass, which is infinite-impulse-repsonse, and also requires less working memory(this filter needs to hold a buffer equal to bufferSize, but LowPass only needs to keep its last value in memory). LowPass will have less phase-shift/time-shift, because it places most weight on the last datapoint, whereas this filter will weight all data points in its buffer equally and thus responds sluggish.

The advantage of this filter is that it allows you to control precisely how many past values are weighted.

LowPassHighPassBandPass

Inheritance

object

MovingAvg

Inherited Members

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Namespace: TimeSeriesAnalysis

Assembly: TimeSeriesAnalysis.dll

Syntax

public class MovingAvg

Constructors

MovingAvg(int)

Constructor

Declaration

public MovingAvg(int bufferSize)

Parameters

Type	Name	Description
int	bufferSize	the number of samples to average, which determines the size of the buffer to create

Methods

Filter(double)

Add value to the moving-average filter.

Declaration

public double Filter(double signal)

Parameters

Type	Name	Description
double	signal	the scalar value to be added

Returns

Type	Description
double	the output of the filter, given the new value

Filter(double[])

Run filter over a vector of values

Declaration

public double[] Filter(double[] signal)

Parameters

Type	Name	Description
double[]	signal	vector of values to be filtered

Returns

Type	Description
double[]	the moving-averge filtered version of values