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This repository provides some helper functions for signal processing functions related to time series (in Python).

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# Introduction

This library is for data that is arranged as follows (in the form of lists - this is just for visual understanding):

|id| Timestamp|values|
| ------ | ------ | ------- |
| 1 | 2018:06:05 03:02:00| 2.3|
| 2 | 2018:06:05 03:04:33| 2.4|
| 3 | 2018:06:05 03:07:01|3.3
| 4 | 2018:08:03 03:07:55 | 2.9
| 5 | 2018:08:03 03:08:44 | 3.3
| 6 | 2018:08:03 03:12:12 | 2.4

As you can see, the above signal is *a non uniformly sampled signal* as observed by the irregularly spaced timestamps.
You can apply several functions of this libary to the above data suach as:

import signal_processing as sp
upsampled_signal = upsampling(input_signal,5) # Does upsampling by a factor of 5
downsampled_signal = downsampling(upsampled_signal,3) # Does downsampling by a factor of 3
sampled_signal = sampling_non_uniformly_sampled_signals(input_signal,freq_in_minutes) # samples the signal on a frequency of given minutes

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