| Name | diamondback JSON |
| Version |
5.1.11
JSON |
| download |
| home_page | None |
| Summary | Diamondback DSP |
| upload_time | 2025-07-14 21:31:24 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | <3.14,>=3.10 |
| license | None |
| keywords |
dsp
fft
fir
gmm
json
iir
psd
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
diamondback
===========
.. image:: https://img.shields.io/pypi/pyversions/diamondback.svg?color=steelblue
:target: https://www.python.org/
.. image:: https://img.shields.io/pypi/v/diamondback.svg?label=pypi&color=midnightblue
:target: https://pypi.org/project/diamondback
.. image:: https://img.shields.io/badge/admin-nox-orangered
:target: https://pypi.org/project/nox/
.. image:: https://img.shields.io/badge/doc-sphinx-royalblue
:target: https://pypi.org/project/sphinx/
.. image:: https://img.shields.io/badge/test-pytest-forestgreen
:target: https://pypi.org/project/pytest/
.. image:: https://img.shields.io/github/license/larryturner/diamondback?color=darkslategray
:target: https://github.com/larryturner/diamondback/blob/master/LICENSE
Description
~~~~~~~~~~~
*diamondback* Digital Signal Processing (DSP).
*diamondback* complements Artificial Intelligence (AI) frameworks, by defining
components which filter, model, and transform data into forms which are
useful in feature extraction and pattern recognition.
*diamondback* supports applications including cancellation, identification,
optimization, probabilistic modeling, rate adaptation, and serialization.
Installation
~~~~~~~~~~~~
*diamondback* is a public repository hosted at `PyPi <https://pypi.org/project/diamondback>`_ and `GitHub <https://github.com/larryturner/diamondback>`_.
.. code-block:: bash
pip install diamondback
.. code-block:: bash
pip install git+https://github.com/larryturner/diamondback.git
.. code-block:: bash
git clone https://github.com/larryturner/diamondback.git
cd diamondback
pip install .
Details
~~~~~~~
Data collections are consistently expressed in native types, including tuples, sets,
lists, and dictionaries, with vector and matrix types expressed in numpy arrays.
Complex or real types are supported as appropriate.
*diamondback* is defined in subpackages *commons*, *filters*, *models*, and
*transforms*.
`commons <https://larryturner.github.io/diamondback/diamondback.commons>`_
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
- `Log <https://larryturner.github.io/diamondback/diamondback.commons#diamondback-commons-log-module>`_
singleton instance which formats and writes log entries with a specified
level and stream using the loguru package. Log entries contain an ISO-8601
datetime and level. Log uses lazy initialization to coexist with loguru.
Dynamic stream redirection and level specification are supported.
- `RestClient <https://larryturner.github.io/diamondback/diamondback.commons#diamondback-commons-rest-client-module>`_
instances define a client for simple REST service requests using the
requests package. An API and an elective dictionary of parameter strings
are encoded to build a URL, elective binary or JSON data are defined in the
body of a request, and a requests response containing JSON, text, or binary
data is returned. Proxy, timeout, and URL definition are supported.
- `Serial <https://larryturner.github.io/diamondback/diamondback.commons#diamondback-commons-serial-module>`_
singleton instance which encodes and decodes an instance or collection in
BSON or JSON, and generates SHA3-256 codes, using the jsonpickle package.
An instance may be an object or a collection, referenced by abstract or
concrete types, and the instance will be correctly encoded and decoded,
without custom encoding definitions.
`filters <https://larryturner.github.io/diamondback/diamondback.filters>`_
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
- `ComplexBandpassFilter <https://larryturner.github.io/diamondback/diamondback.filters#diamondback-filters-complex-bandpass-filter-module>`_
instances adaptively extract or reject signals at a normalized
frequency of interest, and may be employed to dynamically track
magnitude and phase or demodulate signals.
- `ComplexExponentialFilter <https://larryturner.github.io/diamondback/diamondback.filters#diamondback-filters-complex-exponential-filter-module>`_
instances synthesize complex exponential signals at normalized
frequencies of interest with contiguous phase.
- `ComplexFrequencyFilter <https://larryturner.github.io/diamondback/diamondback.filters#diamondback-filters-complex-frequency-filter-module>`_
instances adaptively discriminate and estimate a normalized frequency
of a signal.
- `DerivativeFilter <https://larryturner.github.io/diamondback/diamondback.filters#diamondback-filters-derivative-filter-module>`_
instances estimate discrete derivative approximations at several
filter orders.
- `FirFilter <https://larryturner.github.io/diamondback/diamondback.filters#diamondback-filters-fir-filter-module>`_
instances realize discrete difference equations of Finite Impulse
Response (FIR) form. Instances are defined based on style,
normalized frequency, order, cascade count, and complement, or
forward coefficients. Root extraction, group delay, and frequency
response evaluation are defined.
- `GoertzelFilter <https://larryturner.github.io/diamondback/diamondback.filters#diamondback-filters-goertzel-filter-module>`_
instances efficiently evaluate a Discrete Fourier Transform (DFT)
at a normalized frequency, based on a window filter and normalized
frequency.
- `IirFilter <https://larryturner.github.io/diamondback/diamondback.filters#diamondback-filters-iir-filter-module>`_
instances realize discrete difference equations of Infinite Impulse
Response (IIR) form. Instances are defined based on style,
normalized frequency, order, cascade count, and complement, or recursive
and forward coefficients. Root extraction, group delay, and frequency
response evaluation are defined.
- `IntegralFilter <https://larryturner.github.io/diamondback/diamondback.filters#diamondback-filters-integral-filter-module>`_
instances estimate discrete integral approximations at several filter
orders.
- `PidFilter <https://larryturner.github.io/diamondback/diamondback.filters#diamondback-filters-pid-filter-module>`_
instances realize discrete difference equations of Proportional
Integral Derivative (PID) form.
- `PolynomialRateFilter <https://larryturner.github.io/diamondback/diamondback.filters#diamondback-filters-polynomial-rate-filter-module>`_
instances approximate a signal evaluated at an effective frequency
equal to the product of the normalized frequency and a rate greater
than zero, supporting decimation and interpolation through localized
polynomial approximation with no group delay.
- `PolyphaseRateFilter <https://larryturner.github.io/diamondback/diamondback.filters#diamondback-filters-polyphase-rate-filter-module>`_
instances approximate a signal evaluated at an effective frequency
equal to the product of the normalized frequency and a rate greater
than zero, supporting decimation and interpolation through
definition and application of a polyphase filter bank, a sequence
of low pass filters with a common frequency response and a fractional
sample difference in group delay. An appropriate stride is determined
to realize the specified effective frequency without bias and with
group delay based on order.
- `RankFilter <https://larryturner.github.io/diamondback/diamondback.filters#diamondback-filters-rank-filter-module>`_
instances define nonlinear morphological operators, which define
behavior based on rank and order, including dilation, median,
and erosion, and may be combined in sequences to support close and
open.
- `WindowFilter <https://larryturner.github.io/diamondback/diamondback.filters#diamondback-filters-window-filter-module>`_
instances realize discrete window functions useful in Fourier
analysis, based on style, order, and normalization.
`models <https://larryturner.github.io/diamondback/diamondback.models>`_
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
- `DiversityModel <https://larryturner.github.io/diamondback/diamondback.models#diamondback-models-diversity-model-module>`_
instances select and retain a state extracted to maximize the minimum
distance between state members based on style and order. An
opportunistic unsupervised learning model typically improves condition
and numerical accuracy and reduces storage relative to alternative
approaches including generalized linear inverse.
- `GaussianModel <https://larryturner.github.io/diamondback/diamondback.models#diamondback-models-gaussian-model-module>`_
is a supervised learning probabilistic model instance which uses
maximum likelihood estimation and regularization to maximize posterior
probability and classify an incident signal. Learns one distribution
instance per class.
- `GaussianMixtureModel <https://larryturner.github.io/diamondback/diamondback.models#diamondback-models-gaussian-mixture-model-module>`_
is a semi-supervised learning probabilistic model instance which uses
maximum likelihood estimation, regularization, and expectation
maximization to maximize posterior probability and classify an incident
signal. Learns model instances of a specified order per class, where
intra-class models capture mixture distributions.
`transforms <https://larryturner.github.io/diamondback/diamondback.transforms>`_
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
- `ComplexTransform <https://larryturner.github.io/diamondback/diamondback.transforms#diamondback-transforms-complex-transform-module>`_
is a singleton instance which converts a three-phase real signal to a
complex signal, or a complex signal to a three-phase real signal, in
equivalent and reversible representations, based on a neutral
condition.
- `FourierTransform <https://larryturner.github.io/diamondback/diamondback.transforms#diamondback-transforms-fourier-transform-module>`_
is a singleton instance which converts a real or complex
discrete-time signal to a complex discrete-frequency signal, or a
complex discrete-frequency signal to a real or complex discrete-time
signal, in equivalent and reversible representations, based on a
window filter and inverse.
- `PsdTransform <https://larryturner.github.io/diamondback/diamondback.transforms#diamondback-transforms-psd-transform-module>`_
is a singleton instance which realizes a Power Spectral Density (PSD)
which converts a real or complex discrete-time signal to a real
discrete-frequency signal which estimates an aggregate power spectrum
of the signal, based on a window filter, index, and spectrogram.
A spectrogram constructs a time frequency representation of the power
spectrum.
- `WaveletTransform <https://larryturner.github.io/diamondback/diamondback.transforms#diamondback-transforms-wavelet-transform-module>`_
instances realize a temporal spatial frequency transformation through
defninition and application of analysis and synthesis filters with
complementary frequency responses, combined with downsampling and
upsampling operations, in equivalent and reversible representations.
Instances are defined based on style and order.
- `ZTransform <https://larryturner.github.io/diamondback/diamondback.transforms#diamondback-transforms-z-transform-module>`_
is a singleton instance which converts continuous s-domain to
discrete z-domain difference equations, based on a normalized
frequency and application of bilinear or impulse invariant methods.
Dependencies
~~~~~~~~~~~~
*diamondback* depends upon external packages.
- `jsonpickle <https://pypi.org/project/jsonpickle/>`_
- `loguru <https://pypi.org/project/loguru/>`_
- `numpy <https://pypi.org/project/numpy/>`_
- `requests <https://pypi.org/project/requests/>`_
- `scikit-learn <https://pypi.org/project/scikit-learn/>`_
- `scipy <https://pypi.org/project/scipy/>`_
*diamondback* elective build, dependencies, docs, format, lint, notebook,
tests, and typing behavior depends upon additional external packages.
- `build <https://pypi.org/project/build/>`_
- `ipython <https://pypi.org/project/ipython/>`_
- `ipywidgets <https://pypi.org/project/ipywidgets/>`_
- `jupyter <https://pypi.org/project/jupyter/>`_
- `matplotlib <https://pypi.org/project/matplotlib/>`_
- `mypy <https://pypi.org/project/mypy/>`_
- `nox <https://pypi.org/project/nox/>`_
- `pandas <https://pypi.org/project/pandas/>`_
- `pillow <https://pypi.org/project/pillow/>`_
- `pydeps <https://pypi.org/project/pydeps/>`_
- `pytest <https://pypi.org/project/pytest/>`_
- `ruff <https://pypi.org/project/ruff/>`_
- `sphinx <https://pypi.org/project/sphinx/>`_
- `sphinx-rtd-theme <https://pypi.org/project/sphinx-rtd-theme/>`_
*diamondback* dependency diagram.
.. image:: https://larryturner.github.io/diamondback/dependencies-full.svg
:target: https://larryturner.github.io/diamondback/dependencies-full.svg
Documentation
~~~~~~~~~~~~~
*diamondback* documentation is available on `GitHub Pages <https://larryturner.github.io/diamondback/>`_.
Run a nox *docs* session to generate documentation.
.. code-block:: bash
nox -s docs
Notebook
~~~~~~~~
A jupyter notebook defines cells to create and exercise *diamondback* components.
The notebook serves as a tool for visualization, validation, and demonstration
of *diamondback* capabilities. Restart kernel and run all cells, and exercise
widgets to explore behaviors.
.. code-block:: bash
nox -s notebook
Tests
~~~~~
A test solution is provided to exercise and verify components, pytest is
used to execute unit and integration tests.
Run a nox *tests* session to exercise tests.
.. code-block:: bash
nox -s tests
License
~~~~~~~
`BSD-3-Clause <https://github.com/larryturner/diamondback/blob/master/LICENSE>`_
Author
~~~~~~
`Larry Turner <https://github.com/larryturner>`_
Raw data
{
"_id": null,
"home_page": null,
"name": "diamondback",
"maintainer": null,
"docs_url": null,
"requires_python": "<3.14,>=3.10",
"maintainer_email": null,
"keywords": "DSP, FFT, FIR, GMM, JSON, IIR, PSD",
"author": null,
"author_email": "Larry Turner <larry.turner@se.com>",
"download_url": "https://files.pythonhosted.org/packages/a8/60/6de6e82a28844dfaa181b5e7bb27248352a4aae883566cd543add4d31d1a/diamondback-5.1.11.tar.gz",
"platform": null,
"description": "diamondback\r\n===========\r\n\r\n.. image:: https://img.shields.io/pypi/pyversions/diamondback.svg?color=steelblue\r\n :target: https://www.python.org/\r\n.. image:: https://img.shields.io/pypi/v/diamondback.svg?label=pypi&color=midnightblue\r\n :target: https://pypi.org/project/diamondback\r\n.. image:: https://img.shields.io/badge/admin-nox-orangered\r\n :target: https://pypi.org/project/nox/\r\n.. image:: https://img.shields.io/badge/doc-sphinx-royalblue\r\n :target: https://pypi.org/project/sphinx/\r\n.. image:: https://img.shields.io/badge/test-pytest-forestgreen\r\n :target: https://pypi.org/project/pytest/\r\n.. image:: https://img.shields.io/github/license/larryturner/diamondback?color=darkslategray\r\n :target: https://github.com/larryturner/diamondback/blob/master/LICENSE\r\n\r\nDescription\r\n~~~~~~~~~~~\r\n\r\n*diamondback* Digital Signal Processing (DSP).\r\n\r\n*diamondback* complements Artificial Intelligence (AI) frameworks, by defining\r\ncomponents which filter, model, and transform data into forms which are\r\nuseful in feature extraction and pattern recognition.\r\n\r\n*diamondback* supports applications including cancellation, identification,\r\noptimization, probabilistic modeling, rate adaptation, and serialization.\r\n\r\nInstallation\r\n~~~~~~~~~~~~\r\n\r\n*diamondback* is a public repository hosted at `PyPi <https://pypi.org/project/diamondback>`_ and `GitHub <https://github.com/larryturner/diamondback>`_.\r\n\r\n.. code-block:: bash\r\n\r\n pip install diamondback\r\n\r\n.. code-block:: bash\r\n\r\n pip install git+https://github.com/larryturner/diamondback.git\r\n\r\n.. code-block:: bash\r\n\r\n git clone https://github.com/larryturner/diamondback.git\r\n cd diamondback\r\n pip install .\r\n\r\nDetails\r\n~~~~~~~\r\n\r\nData collections are consistently expressed in native types, including tuples, sets,\r\nlists, and dictionaries, with vector and matrix types expressed in numpy arrays.\r\nComplex or real types are supported as appropriate.\r\n\r\n*diamondback* is defined in subpackages *commons*, *filters*, *models*, and\r\n*transforms*.\r\n\r\n`commons <https://larryturner.github.io/diamondback/diamondback.commons>`_\r\n^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\r\n\r\n- `Log <https://larryturner.github.io/diamondback/diamondback.commons#diamondback-commons-log-module>`_\r\n singleton instance which formats and writes log entries with a specified\r\n level and stream using the loguru package. Log entries contain an ISO-8601\r\n datetime and level. Log uses lazy initialization to coexist with loguru.\r\n Dynamic stream redirection and level specification are supported.\r\n\r\n- `RestClient <https://larryturner.github.io/diamondback/diamondback.commons#diamondback-commons-rest-client-module>`_\r\n instances define a client for simple REST service requests using the\r\n requests package. An API and an elective dictionary of parameter strings\r\n are encoded to build a URL, elective binary or JSON data are defined in the\r\n body of a request, and a requests response containing JSON, text, or binary\r\n data is returned. Proxy, timeout, and URL definition are supported.\r\n\r\n- `Serial <https://larryturner.github.io/diamondback/diamondback.commons#diamondback-commons-serial-module>`_\r\n singleton instance which encodes and decodes an instance or collection in\r\n BSON or JSON, and generates SHA3-256 codes, using the jsonpickle package.\r\n An instance may be an object or a collection, referenced by abstract or\r\n concrete types, and the instance will be correctly encoded and decoded,\r\n without custom encoding definitions.\r\n\r\n`filters <https://larryturner.github.io/diamondback/diamondback.filters>`_\r\n^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\r\n\r\n- `ComplexBandpassFilter <https://larryturner.github.io/diamondback/diamondback.filters#diamondback-filters-complex-bandpass-filter-module>`_\r\n instances adaptively extract or reject signals at a normalized\r\n frequency of interest, and may be employed to dynamically track\r\n magnitude and phase or demodulate signals.\r\n\r\n- `ComplexExponentialFilter <https://larryturner.github.io/diamondback/diamondback.filters#diamondback-filters-complex-exponential-filter-module>`_\r\n instances synthesize complex exponential signals at normalized\r\n frequencies of interest with contiguous phase.\r\n\r\n- `ComplexFrequencyFilter <https://larryturner.github.io/diamondback/diamondback.filters#diamondback-filters-complex-frequency-filter-module>`_\r\n instances adaptively discriminate and estimate a normalized frequency\r\n of a signal.\r\n\r\n- `DerivativeFilter <https://larryturner.github.io/diamondback/diamondback.filters#diamondback-filters-derivative-filter-module>`_\r\n instances estimate discrete derivative approximations at several\r\n filter orders.\r\n\r\n- `FirFilter <https://larryturner.github.io/diamondback/diamondback.filters#diamondback-filters-fir-filter-module>`_\r\n instances realize discrete difference equations of Finite Impulse\r\n Response (FIR) form. Instances are defined based on style,\r\n normalized frequency, order, cascade count, and complement, or\r\n forward coefficients. Root extraction, group delay, and frequency\r\n response evaluation are defined.\r\n\r\n- `GoertzelFilter <https://larryturner.github.io/diamondback/diamondback.filters#diamondback-filters-goertzel-filter-module>`_\r\n instances efficiently evaluate a Discrete Fourier Transform (DFT)\r\n at a normalized frequency, based on a window filter and normalized\r\n frequency.\r\n\r\n- `IirFilter <https://larryturner.github.io/diamondback/diamondback.filters#diamondback-filters-iir-filter-module>`_\r\n instances realize discrete difference equations of Infinite Impulse\r\n Response (IIR) form. Instances are defined based on style,\r\n normalized frequency, order, cascade count, and complement, or recursive\r\n and forward coefficients. Root extraction, group delay, and frequency\r\n response evaluation are defined.\r\n\r\n- `IntegralFilter <https://larryturner.github.io/diamondback/diamondback.filters#diamondback-filters-integral-filter-module>`_\r\n instances estimate discrete integral approximations at several filter\r\n orders.\r\n\r\n- `PidFilter <https://larryturner.github.io/diamondback/diamondback.filters#diamondback-filters-pid-filter-module>`_\r\n instances realize discrete difference equations of Proportional\r\n Integral Derivative (PID) form.\r\n\r\n- `PolynomialRateFilter <https://larryturner.github.io/diamondback/diamondback.filters#diamondback-filters-polynomial-rate-filter-module>`_\r\n instances approximate a signal evaluated at an effective frequency\r\n equal to the product of the normalized frequency and a rate greater\r\n than zero, supporting decimation and interpolation through localized\r\n polynomial approximation with no group delay.\r\n\r\n- `PolyphaseRateFilter <https://larryturner.github.io/diamondback/diamondback.filters#diamondback-filters-polyphase-rate-filter-module>`_\r\n instances approximate a signal evaluated at an effective frequency\r\n equal to the product of the normalized frequency and a rate greater\r\n than zero, supporting decimation and interpolation through\r\n definition and application of a polyphase filter bank, a sequence\r\n of low pass filters with a common frequency response and a fractional\r\n sample difference in group delay. An appropriate stride is determined\r\n to realize the specified effective frequency without bias and with\r\n group delay based on order.\r\n\r\n- `RankFilter <https://larryturner.github.io/diamondback/diamondback.filters#diamondback-filters-rank-filter-module>`_\r\n instances define nonlinear morphological operators, which define\r\n behavior based on rank and order, including dilation, median,\r\n and erosion, and may be combined in sequences to support close and\r\n open.\r\n\r\n- `WindowFilter <https://larryturner.github.io/diamondback/diamondback.filters#diamondback-filters-window-filter-module>`_\r\n instances realize discrete window functions useful in Fourier\r\n analysis, based on style, order, and normalization.\r\n\r\n`models <https://larryturner.github.io/diamondback/diamondback.models>`_\r\n^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\r\n\r\n- `DiversityModel <https://larryturner.github.io/diamondback/diamondback.models#diamondback-models-diversity-model-module>`_\r\n instances select and retain a state extracted to maximize the minimum\r\n distance between state members based on style and order. An\r\n opportunistic unsupervised learning model typically improves condition\r\n and numerical accuracy and reduces storage relative to alternative\r\n approaches including generalized linear inverse.\r\n\r\n- `GaussianModel <https://larryturner.github.io/diamondback/diamondback.models#diamondback-models-gaussian-model-module>`_\r\n is a supervised learning probabilistic model instance which uses\r\n maximum likelihood estimation and regularization to maximize posterior\r\n probability and classify an incident signal. Learns one distribution\r\n instance per class.\r\n\r\n- `GaussianMixtureModel <https://larryturner.github.io/diamondback/diamondback.models#diamondback-models-gaussian-mixture-model-module>`_\r\n is a semi-supervised learning probabilistic model instance which uses\r\n maximum likelihood estimation, regularization, and expectation\r\n maximization to maximize posterior probability and classify an incident\r\n signal. Learns model instances of a specified order per class, where\r\n intra-class models capture mixture distributions.\r\n\r\n`transforms <https://larryturner.github.io/diamondback/diamondback.transforms>`_\r\n^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\r\n\r\n- `ComplexTransform <https://larryturner.github.io/diamondback/diamondback.transforms#diamondback-transforms-complex-transform-module>`_\r\n is a singleton instance which converts a three-phase real signal to a\r\n complex signal, or a complex signal to a three-phase real signal, in\r\n equivalent and reversible representations, based on a neutral\r\n condition.\r\n\r\n- `FourierTransform <https://larryturner.github.io/diamondback/diamondback.transforms#diamondback-transforms-fourier-transform-module>`_\r\n is a singleton instance which converts a real or complex\r\n discrete-time signal to a complex discrete-frequency signal, or a\r\n complex discrete-frequency signal to a real or complex discrete-time\r\n signal, in equivalent and reversible representations, based on a\r\n window filter and inverse.\r\n\r\n- `PsdTransform <https://larryturner.github.io/diamondback/diamondback.transforms#diamondback-transforms-psd-transform-module>`_\r\n is a singleton instance which realizes a Power Spectral Density (PSD)\r\n which converts a real or complex discrete-time signal to a real\r\n discrete-frequency signal which estimates an aggregate power spectrum\r\n of the signal, based on a window filter, index, and spectrogram.\r\n A spectrogram constructs a time frequency representation of the power\r\n spectrum.\r\n\r\n- `WaveletTransform <https://larryturner.github.io/diamondback/diamondback.transforms#diamondback-transforms-wavelet-transform-module>`_\r\n instances realize a temporal spatial frequency transformation through\r\n defninition and application of analysis and synthesis filters with\r\n complementary frequency responses, combined with downsampling and\r\n upsampling operations, in equivalent and reversible representations.\r\n Instances are defined based on style and order.\r\n\r\n- `ZTransform <https://larryturner.github.io/diamondback/diamondback.transforms#diamondback-transforms-z-transform-module>`_\r\n is a singleton instance which converts continuous s-domain to\r\n discrete z-domain difference equations, based on a normalized\r\n frequency and application of bilinear or impulse invariant methods.\r\n\r\nDependencies\r\n~~~~~~~~~~~~\r\n\r\n*diamondback* depends upon external packages.\r\n\r\n- `jsonpickle <https://pypi.org/project/jsonpickle/>`_\r\n- `loguru <https://pypi.org/project/loguru/>`_\r\n- `numpy <https://pypi.org/project/numpy/>`_\r\n- `requests <https://pypi.org/project/requests/>`_\r\n- `scikit-learn <https://pypi.org/project/scikit-learn/>`_\r\n- `scipy <https://pypi.org/project/scipy/>`_\r\n\r\n*diamondback* elective build, dependencies, docs, format, lint, notebook,\r\ntests, and typing behavior depends upon additional external packages.\r\n\r\n- `build <https://pypi.org/project/build/>`_\r\n- `ipython <https://pypi.org/project/ipython/>`_\r\n- `ipywidgets <https://pypi.org/project/ipywidgets/>`_\r\n- `jupyter <https://pypi.org/project/jupyter/>`_\r\n- `matplotlib <https://pypi.org/project/matplotlib/>`_\r\n- `mypy <https://pypi.org/project/mypy/>`_\r\n- `nox <https://pypi.org/project/nox/>`_\r\n- `pandas <https://pypi.org/project/pandas/>`_\r\n- `pillow <https://pypi.org/project/pillow/>`_\r\n- `pydeps <https://pypi.org/project/pydeps/>`_\r\n- `pytest <https://pypi.org/project/pytest/>`_\r\n- `ruff <https://pypi.org/project/ruff/>`_\r\n- `sphinx <https://pypi.org/project/sphinx/>`_\r\n- `sphinx-rtd-theme <https://pypi.org/project/sphinx-rtd-theme/>`_\r\n\r\n*diamondback* dependency diagram.\r\n\r\n.. image:: https://larryturner.github.io/diamondback/dependencies-full.svg\r\n :target: https://larryturner.github.io/diamondback/dependencies-full.svg\r\n\r\nDocumentation\r\n~~~~~~~~~~~~~\r\n\r\n*diamondback* documentation is available on `GitHub Pages <https://larryturner.github.io/diamondback/>`_.\r\n\r\nRun a nox *docs* session to generate documentation.\r\n\r\n.. code-block:: bash\r\n\r\n nox -s docs\r\n\r\nNotebook\r\n~~~~~~~~\r\n\r\nA jupyter notebook defines cells to create and exercise *diamondback* components.\r\nThe notebook serves as a tool for visualization, validation, and demonstration\r\nof *diamondback* capabilities. Restart kernel and run all cells, and exercise\r\nwidgets to explore behaviors.\r\n\r\n.. code-block:: bash\r\n\r\n nox -s notebook\r\n\r\nTests\r\n~~~~~\r\n\r\nA test solution is provided to exercise and verify components, pytest is\r\nused to execute unit and integration tests.\r\n\r\nRun a nox *tests* session to exercise tests.\r\n\r\n.. code-block:: bash\r\n\r\n nox -s tests\r\n\r\nLicense\r\n~~~~~~~\r\n\r\n`BSD-3-Clause <https://github.com/larryturner/diamondback/blob/master/LICENSE>`_\r\n\r\nAuthor\r\n~~~~~~\r\n\r\n`Larry Turner <https://github.com/larryturner>`_\r\n",
"bugtrack_url": null,
"license": null,
"summary": "Diamondback DSP",
"version": "5.1.11",
"project_urls": {
"homepage": "https://github.com/larryturner/diamondback"
},
"split_keywords": [
"dsp",
" fft",
" fir",
" gmm",
" json",
" iir",
" psd"
],
"urls": [
{
"comment_text": null,
"digests": {
"blake2b_256": "083dc7ecebfa0dc1fa4718f30d50a7ad716e582b52e8e525f401a844056c7123",
"md5": "4cb518f6526ff328bbb9344be6f3dea5",
"sha256": "d595f9f897077534234b956e0034e4c16ec51a3ccc00cd4f49fdecbe39e74158"
},
"downloads": -1,
"filename": "diamondback-5.1.11-py3-none-any.whl",
"has_sig": false,
"md5_digest": "4cb518f6526ff328bbb9344be6f3dea5",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": "<3.14,>=3.10",
"size": 56729,
"upload_time": "2025-07-14T21:31:23",
"upload_time_iso_8601": "2025-07-14T21:31:23.632883Z",
"url": "https://files.pythonhosted.org/packages/08/3d/c7ecebfa0dc1fa4718f30d50a7ad716e582b52e8e525f401a844056c7123/diamondback-5.1.11-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": null,
"digests": {
"blake2b_256": "a8606de6e82a28844dfaa181b5e7bb27248352a4aae883566cd543add4d31d1a",
"md5": "d6c56e0cfed151d521501d86ad1b180a",
"sha256": "3a9c8793bc87bfdaa4f565bda724d914c00073603a6dec90e3faf5fda05f7217"
},
"downloads": -1,
"filename": "diamondback-5.1.11.tar.gz",
"has_sig": false,
"md5_digest": "d6c56e0cfed151d521501d86ad1b180a",
"packagetype": "sdist",
"python_version": "source",
"requires_python": "<3.14,>=3.10",
"size": 39160,
"upload_time": "2025-07-14T21:31:24",
"upload_time_iso_8601": "2025-07-14T21:31:24.844030Z",
"url": "https://files.pythonhosted.org/packages/a8/60/6de6e82a28844dfaa181b5e7bb27248352a4aae883566cd543add4d31d1a/diamondback-5.1.11.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2025-07-14 21:31:24",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "larryturner",
"github_project": "diamondback",
"travis_ci": false,
"coveralls": false,
"github_actions": false,
"lcname": "diamondback"
}
