ClassMovingAverageFilter<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

Constructors

constructor

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

Methods

clear

clear(): void
Returns void

filter

filter(sample, _timestamp): T
Parameters
- sample: T
- _timestamp: number
Returns T
Inherit Doc: Filter.filter
Implementation of default.filter