ultrafastgoertzel Python Bindings
Ultra-fast Goertzel algorithm implementation with SIMD optimization for Python.
Usage
import ultrafastgoertzel as ufg
import math
# Generate a test signal (sine wave at frequency 0.1)
signal = [math.sin(2 * math.pi * 0.1 * i) for i in range(1000)]
# Analyze a single frequency
magnitude = ufg.goertzel(signal, 0.1)
print(f"Magnitude at 0.1: {magnitude:.4f}")
# Analyze multiple frequencies efficiently (recommended)
frequencies = [0.1, 0.2, 0.3]
magnitudes = ufg.goertzel_batch(signal, frequencies)
for freq, mag in zip(frequencies, magnitudes):
print(f"Frequency {freq}: {mag:.4f}")
Frequency Normalization
Frequencies are normalized, where:
- 0.0 = DC (0 Hz)
- 0.5 = Nyquist frequency (half the sampling rate)
For example, if your sampling rate is 1000 Hz:
- 0.1 represents 100 Hz
- 0.25 represents 250 Hz
- 0.5 represents 500 Hz (Nyquist)
Performance
This implementation uses SIMD instructions for optimal performance. The goertzel_batch function is particularly efficient when analyzing multiple frequencies on the same signal, as it can process multiple frequencies in parallel.
License
WTFPL License.
1 maintainer
Metadata
1 maintainer
Release files for ultrafastgoertzel 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| ultrafastgoertzel-0.1.0.tar.gz | 16.1 kB | Without provenance | Details |
Built distributions (wheels)
| File | Reset | |||
|---|---|---|---|---|
| ultrafastgoertzel-0.1.0-cp39-abi3-win_amd64.whl | CPython 3.9 | abi3 | Windows x86-64 | Details |
| ultrafastgoertzel-0.1.0-cp39-abi3-musllinux_1_2_x86_64.whl | CPython 3.9 | abi3 | Linux musl 1.2+ x86-64 | Details |
| ultrafastgoertzel-0.1.0-cp39-abi3-musllinux_1_2_aarch64.whl | CPython 3.9 | abi3 | Linux musl 1.2+ ARM64 | Details |
| ultrafastgoertzel-0.1.0-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl | CPython 3.9 | abi3 | Linux glibc 2.17+ x86-64 | Details |
| ultrafastgoertzel-0.1.0-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl | CPython 3.9 | abi3 | Linux glibc 2.17+ ARM64 | Details |
| ultrafastgoertzel-0.1.0-cp39-abi3-macosx_11_0_arm64.whl | CPython 3.9 | abi3 | macOS 11.0+ ARM64 | Details |
| ultrafastgoertzel-0.1.0-cp39-abi3-macosx_10_12_x86_64.whl | CPython 3.9 | abi3 | macOS 10.12+ x86-64 | Details |
Total release size: 2.0 MB
Release files / ultrafastgoertzel-0.1.0.tar.gz
| Download URL | ultrafastgoertzel-0.1.0.tar.gz |
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| Size | 16.1 kB |
| Tags | Source |
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Release files / ultrafastgoertzel-0.1.0-cp39-abi3-win_amd64.whl
| Download URL | ultrafastgoertzel-0.1.0-cp39-abi3-win_amd64.whl |
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| Size | 138.2 kB |
| Tags | CPython 3.9 Windows x86-64 abi3 |
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| Download URL | ultrafastgoertzel-0.1.0-cp39-abi3-musllinux_1_2_x86_64.whl |
|---|---|
| Size | 435.4 kB |
| Tags | CPython 3.9 Linux musl 1.2+ x86-64 abi3 |
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| Download URL | ultrafastgoertzel-0.1.0-cp39-abi3-musllinux_1_2_aarch64.whl |
|---|---|
| Size | 428.2 kB |
| Tags | CPython 3.9 Linux musl 1.2+ ARM64 abi3 |
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| Size | 261.3 kB |
| Tags | CPython 3.9 Linux glibc 2.17+ x86-64 abi3 |
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| Size | 246.3 kB |
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