Skip to main content

ADC Evaluation Library

Project description

python-adc-eval Lint PyPi Version Codestyle

A python-based ADC evaluation tool, suitable for standalone or library-based usage

Details

Package based on esynr3z/adc-eval

Tiny tools collection (Python NumPy+Matplotlib based) to do spectral analysis and calculate the key performance parameters of an ADC. Just collect some data from the ADC, specify basic ADC parameters and run analysis. See example.ipynb (you will need Jupyter Notebook to be installed).

analyser

analyser

References: - Analog Devices MT-003 TUTORIAL “Understand SINAD, ENOB, SNR, THD, THD + N, and SFDR so You Don’t Get Lost in the Noise Floor” - National Instruments Application Note 041 “The Fundamentals of FFT-Based Signal Analysis and Measurement”

Inspired by Linear Technology (now Analog Devices) PScope tool.

USAGE

To load the library in a module:

import adc_eval

Given an array of values representing the output of an ADC, the spectrum can be analyzed with the following:

import adc_eval

adc_eval.spectrum.analyze(<adc list>, <adc_bits>, <adc vref>, <adc fsamp>, window='hanning', no_plot=<True/False>)

pscope Image source: Creating an ADC Using FPGA Resources WP - Lattice

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

python-adc-eval-0.1.0.tar.gz (8.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

python_adc_eval-0.1.0-py3-none-any.whl (8.1 kB view details)

Uploaded Python 3

File details

Details for the file python-adc-eval-0.1.0.tar.gz.

File metadata

  • Download URL: python-adc-eval-0.1.0.tar.gz
  • Upload date:
  • Size: 8.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.17

File hashes

Hashes for python-adc-eval-0.1.0.tar.gz
Algorithm Hash digest
SHA256 960536c9031779f6000718f06c99bbed618e277159a00dbecfc99a9464b522ee
MD5 4b75eed2db12015cd5bacab7a95226c3
BLAKE2b-256 648f613f8a221641a4ba4777784aa01a5a3fdfaf5f4d3afbed85a3b676852187

See more details on using hashes here.

File details

Details for the file python_adc_eval-0.1.0-py3-none-any.whl.

File metadata

File hashes

Hashes for python_adc_eval-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 793839fe4e5836dfb8259fbd5c957e69d41a03481aee3a39f100174887bb3ad3
MD5 6c7665398ddbde89a20602d1535169a6
BLAKE2b-256 ce0a78917bf1b6ea4e680601f9d4aa178cf046a715c3dd4125c235a9dadc530b

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page