ml-spectra-processing

ml-spectra-processing

Various functions to process spectra. Those are pure functions.

They are sorted in various categories:

• matrix: functions on ml-matrix instances (or array or array)
• x: functions that apply on a 1D array
• xy: functions that apply on an object {x: [], y:[]}
• xyArray: functions that apply on an array of objects {x: [], y:[]}
• xyObject: functions that apply on an array of point [{x,y}]
• xreim: functions that apply on an object {x: [], re:[], im:[]}
• reim: functions that apply on an object {re: [], im:[]}
• zone: functions that apply on a zone {from,to}
• zones: functions that apply on an array of zone [{from,to}]

The name of the functions start with the first argument on which they apply.

Installation

$ npm i ml-spectra-processing

Usage

import { xAdd } from 'ml-spectra-processing';

const array = [1, 2, 3];
const result = xAdd(array, 5);
console.log(result);

API Documentation

License

MIT

Changelog

10.1.0 (2022-02-15)

Features

• add uniform random array generator and rename createNormalRandomArray to createRandomArray (adbf2b4)
• xMedianAbsoluteDeviation returns an object with median and mad (26430ca)
• xNoiseStandardDeviation returns now mad, median and sd (8c7d332)

Bug Fixes

• improve xyEnsureGrowingX (c8b33d6)