Metadata-Version: 2.1
Name: diamondback
Version: 1.0.90
Summary: Diamondback digital signal processing package.
Home-page: https://github.com/larryturner/diamondback
Author: Larry Turner
Author-email: larry.turner@se.com
License: BSD-3C.  © 2018 - 2021 Larry Turner, Schneider Electric Industries SAS. All rights reserved.
Keywords: BSON,DSP,FFT,FIR,GZIP,IIR,JSON,PCA,PID,PSD,REST,adaptive,complex,derivative,diamondback,diversity,exponential,filter,fourier,frequency,goertzel,integral,jsonpickle,log,loguru,model,polynomial,polyphase,power,rate,requests,serial,transform,wavelet
Platform: UNKNOWN
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: License :: OSI Approved :: BSD License
Requires-Python: >= 3.6
Requires-Dist: jsonpickle (>=2.0.0)
Requires-Dist: loguru (>=0.5.3)
Requires-Dist: numpy (>=1.20.2)
Requires-Dist: pandas (>=1.2.4)
Requires-Dist: requests (>=2.25.1)
Requires-Dist: scipy (>=1.6.3)
Provides-Extra: full
Requires-Dist: ipython (>=7.22.0) ; extra == 'full'
Requires-Dist: ipywidgets (>=7.6.3) ; extra == 'full'
Requires-Dist: jupyter (>=1.0.0) ; extra == 'full'
Requires-Dist: matplotlib (>=3.4.1) ; extra == 'full'
Requires-Dist: nox (>=2020.12.31) ; extra == 'full'
Requires-Dist: pillow (>=8.2.0) ; extra == 'full'
Requires-Dist: pytest (>=6.2.3) ; extra == 'full'
Requires-Dist: regex (>=2021.4.4) ; extra == 'full'
Requires-Dist: setuptools (>=56.0.0) ; extra == 'full'
Requires-Dist: sphinx (>=3.5.4) ; extra == 'full'
Requires-Dist: sphinx-pydantic (>=0.1.1) ; extra == 'full'
Requires-Dist: sphinx-rtd-theme (>=0.5.2) ; extra == 'full'

Diamondback is a package which provides Digital Signal Processing
( DSP ) solutions, organized in the form of commons, filters,
interfaces, models, and transforms.

Diamondback complements Artificial Intelligence ( AI ) frameworks, by
defining components which analyze, filter, extract, model, and transform
data into forms which are useful in applications including pattern
recognition, feature extraction, and optimization.

Diamondback also facilitates classical signal processing solutions
including communications, modeling, signal identification and extraction,
and noise cancellation.



