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
Metadata
Release files for signal-processing 0.0.5
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| signal_processing-0.0.5.tar.gz | 3.7 kB | Without provenance | Details for signal_processing-0.0.5.tar.gz |
Release files / signal_processing-0.0.5.tar.gz
| Download URL | signal_processing-0.0.5.tar.gz |
|---|---|
| Size | 3.7 kB |
| Tags | Source |
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4fc7289fb6938a07f92f1c2e5e27f01c6cdb123b9d3421f6daced21ec55a6be9
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No |
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python-requests/2.19.1
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Security for signal-processing 0.0.5
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