Smoothen rx value streams for e.g. sensor data using kalman filter.

Jan Rabe

Last update: Nov 23, 2022

Related tags

Overview

KalmanRx

Introduction

Removes the noise from float streams using Kalman Filter. Useful to smoothen sensory data e.g.: gps location, or Accelerometer.

How to use

Library is supporting up to 3 values smoothened from a stream.

(float) stream

KalmanRx.createFrom1D(floatObservable.map(e -> e.value))
    .subscribe(value->{}, Throwable::printStackTrace);

(float, float) stream

KalmanRx.createFrom2D(floatObservable.map(e -> e.values))
    .subscribe(values->{}, Throwable::printStackTrace);

(float, float, float) stream

KalmanRx.createFrom3D(floatObservable.map(e -> e.values))
    .subscribe(value->{}, Throwable::printStackTrace);

How to install

implementation 'com.github.kibotu:KalmanRx:-SNAPSHOT'

How to build

graldew clean build

CI

gradlew clean assembleRelease test javadoc

Build Requirements

JDK8
Android Build Tools 27.0.3
Android SDK 27

Notes

Follow me on Twitter: @wolkenschauer

Let me know what you think: [email protected]

Contributions welcome!

License

Copyright 2016 Jan Rabe

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

   http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

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Comments

Error "Incompatible result matrix."
Hi, I've got an error "Incompatible result matrix." from the below method. I'm using KalmanRx 2.0.0 version and kotlin.

public Matrix gemm(Matrix B, Matrix C, double alpha, double beta) {

// m = rows; // n = columns; int p = B.n; // columns of B // cannot change C :( Matrix X = new Matrix(m, p); // X ~ C if (C == null) { // multiplication - rare, but necessary :( if (B.m != n) { throw new IllegalArgumentException("Matrix inner dimensions must agree."); } .... if (C.m != m || C.n != p) { **throw new IllegalArgumentException("Incompatible result matrix.");** }

My code is

val positionList: List = ...

KalmanRx.createFrom2D(rx.Observable.from(positionList.map { floatArrayOf(it.latitude.toFloat(), it.longitude.toFloat()) })) .toList().subscribe { Log.i("tag", "arrived list: ${it}") }

I want to smooth the above list(val positionList). What am I wrong?

This is a sample list value

(37.499884, 127.0351041) (37.4998852, 127.0351025) (37.4998853, 127.0351035) (37.4998876, 127.0351058) (37.4998904, 127.035109) (37.4998883, 127.035104) (37.4998849, 127.0351032) (37.4998897, 127.0351096) (37.4998857, 127.0351054) (37.4998844, 127.0351039) (37.4998843, 127.0351034) (37.4998899, 127.0351096) (37.4998858, 127.0351052) (37.4998845, 127.035104) (37.4998898, 127.0351097) (37.4998856, 127.0351049) (37.4998843, 127.0351036) (37.4998898, 127.0351096) (37.4998856, 127.035105) (37.4998841, 127.0351032) (37.4998842, 127.0351037) (37.4998899, 127.0351098) (37.4998858, 127.0351052) (37.4998844, 127.0351037) (37.4998843, 127.0351036) (37.4998845, 127.0351037) (37.4998846, 127.0351039) (37.4998901, 127.0351099)

Thank you and sorry for my poor English
opened by simpler23 0

Smoothen rx value streams for e.g. sensor data using kalman filter.

Related tags

Overview

KalmanRx

Introduction

How to use

How to install

How to build

CI

Build Requirements

Notes

License

You might also like...

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Comments

Error "Incompatible result matrix."

Hi, I've got an error "Incompatible result matrix." from the below method. I'm using KalmanRx 2.0.0 version and kotlin.

My code is

KalmanRx.createFrom2D(rx.Observable.from(positionList.map { floatArrayOf(it.latitude.toFloat(), it.longitude.toFloat()) })) .toList().subscribe { Log.i("tag", "arrived list: ${it}") }

This is a sample list value

Owner

Jan Rabe

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