FIRconv
Python implementations of Finite Impulse Response (FIR) filters for real-time convolutions.
The algorithms are mainly (but not strictly) the ones described in WEFERS, Frank. Partitioned convolution algorithms for real-time auralization. Logos Verlag Berlin GmbH, 2015. found here.
Current algorithms
- Overlap-add (OLA);
- Overlap-save (OLS);
- Uniformily Partitioned Overlap-Save (UPOLS) (generalized version)
Installation
Use pip to install FIRconv:
$ pip install FIRconv
Getting started
Bellow there's a pseudo-code showing how to setup a basic use of FIRconv for real time convolutions.
from FIRconv import FIRfilter
import numpy as np
# Initialize FIR filter
bufferSize = 2**10
method = 'upols'
FIRfilter(method, bufferSize, h=IR)
while True:
output = FIRfilter.process(audio)
play(output)
- For more in-depth examples have a look at testFIR.py or Algorithms_validationpy
Collaborations are more than welcome!
Metadata
Release files for FIRconv 0.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| FIRconv-0.0.3.tar.gz | 8.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| FIRconv-0.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 16.5 kB
Release files / FIRconv-0.0.3.tar.gz
| Download URL | FIRconv-0.0.3.tar.gz |
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| Size | 8.2 kB |
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Release files / FIRconv-0.0.3-py3-none-any.whl
| Download URL | FIRconv-0.0.3-py3-none-any.whl |
|---|---|
| Size | 8.4 kB |
| Tags | Python 3 |
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