Class MovingAverageFilter<T>

Implements a moving average algorithm. A window of specified length, moves over the data, sample by sample, and the average is computed over the data in the window.

Source: https://www.mathworks.com/help/dsp/ug/sliding-window-method-and-exponential-weighting-method.html

Type Parameters

T

Implements

default<T>

Index

Constructors

Methods

averageSample clear filter

Constructors

constructor

new MovingAverageFilter<T>(
    windowLength: number,
    zero: () => T,
    average: (samples: T[]) => T,
): MovingAverageFilter<T>
Type Parameters
- T
Parameters
- windowLength: number
- zero: () => T
- average: (samples: T[]) => T
Returns MovingAverageFilter<T>

Methods

averageSample

averageSample(): T
Returns T

clear

clear(): void
Returns void

filter

filter(sample: T, _timestamp: number): T
Applies filter to a sample
Parameters
- sample: T
  value to be filtered
- _timestamp: number
  timestamp when the sample was measured
Returns T
Implementation of default.filter