savitzkygolay

KO | EN

gitlite — search

#python #ai #llm #machine-learning #macos #java #windows #awesome #cli #awesome-list #pytorch #mcp #openai #open-source

(★ 20)

Go implementation of the savitzky golay filter

savitzkygolay Latest Version Download

Download Latest Version (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# savitzkygolay [![GoDoc](https://godoc.org/github.com/pconstantinou/savitzkygolay?status.svg)](https://godoc.org/github.com/pconstantinou/savitzkygolay) [![codecov](https://codecov.io/gh/pconstantinou/savitzkygolay/branch/master/graph/badge.svg)](https://codecov.io/gh/pconstantinou/savitzkygolay)

Package savitzkygolay provides a filter on a set of data which provides an effective way of smoothing data that generally follows curves found in polynomials.

Download:
```shell
go get github.com/pconstantinou/savitzkygolay
```

* * *
Package savitzkygolay provides a filter on a set of data which provides
an effective way of smoothing data that generally follows
curves found in polynomials. It is particularly good alternative
to a moving average since it does not introduce a
delay proportial to about half the window length.

Example:

```
noise := 15.0
xs := make([]float64, testSize, testSize)
ys := make([]float64, testSize, testSize)
for i := range xs {
	ys[i] = 20 * math.Sin(float64(i)/math.Pi/6) +
				(rand.Float64() * noise) - noise/2.0)
	xs[i] = float64(i)
}

filter, err := savitzkygolay.NewFilterWindow(11)
sgy, err := filter.Process(ys, xs)
```

Filter interface may be retained to avoid the overhead of pre-computing
the polynomials however the size is proportial to the square of the
window size.

The filter run on O(number of elements * size of window)

Project unit tests generate outputs which illustrate the filter.

The Go implementation was based on the JavaScript implementation:

```
https://github.com/mljs/savitzky-golay
```

![Example of filters](https://raw.githubusercontent.com/pconstantinou/savitzkygolay/master/smoothed_sin_with_noise_using_single_order_polynomial.png)

* * *
Automatically generated by [autoreadme](https://github.com/jimmyfrasche/autoreadme) on 2020.05.13

savitzkygolay

savitzkygolay Latest Version Download

Today's picks

Was this content helpful?

Recent Feedback

savitzkygolay

savitzkygolay Latest Version Download

Today's picks

Was this content helpful?

Recent Feedback

Download README