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cbadc-0.2.2


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توضیحات

A toolbox for simulating control-bounded converters.
ویژگی مقدار
سیستم عامل -
نام فایل cbadc-0.2.2
نام cbadc
نسخه کتابخانه 0.2.2
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Hampus Malmberg
ایمیل نویسنده hampus.malmberg88@gmail.com
آدرس صفحه اصلی https://github.com/hammal/cbadc
آدرس اینترنتی https://pypi.org/project/cbadc/
مجوز -
![cbadc](https://github.com/hammal/cbadc/actions/workflows/testing.yml/badge.svg) [![Documentation Status](https://readthedocs.org/projects/cbadc/badge/?version=latest)](https://cbadc.readthedocs.io/en/latest/?badge=latest)[![Gitpod Ready-to-Code](https://img.shields.io/badge/Gitpod-ready--to--code-blue?logo=gitpod)](https://gitpod.io/#https://github.com/hammal/cbadc) # Control-Bounded A/D Conversion (cbadc) Toolbox This package is intended as a design tool for aiding the construction of control-bounded A/D converters. Specifically, it is capable of: - **Generating** transfer functions for analog systems and/or digital estimator parametrizations. - **Estimating** samples from control signals. - **Simulating** analog system and digital control interactions. # Documentation The projects official documentation can be found at [Read the Docs](https://cbadc.readthedocs.io/en/latest/). # Background & References For a in depth description of the control-bounded conversion concept consider the following publications - [Control-bounded analog-to-digital conversion, circuits, systems, and signal processing, 2021](https://doi.org/10.1007/s00034-021-01837-z) - [Control-bounded converters, PhD Thesis, 2020](https://doi.org/10.3929/ethz-b-000469192). - [Control-bounded analog-to-digital conversion: transfer functions analysis, proof of concept, and digital filter implementation, arXiv:2001.05929, 2020](https://arxiv.org/abs/2001.05929) - [Control-based analog-to-digital conversion without sampling and quantization, information theory & applications workshop, 2015](https://ieeexplore.ieee.org/document/7308975) - [Analog-to-digital conversion using unstable filters, information theory & applications workshop, 2011](https://ieeexplore.ieee.org/abstract/document/5743620) # Installation Install [cbadc](https://pypi.org/project/cbadc/) by typing ```bash pip install cbadc ``` into your console. Note that, currently cbadc is only supported for Python3.8 and later. # Source Code The source code is hosted on [https://github.com/hammal/cbadc](https://github.com/hammal/cbadc). # Bugs and Issues Please report problems at [https://github.com/hammal/cbadc/issues](https://github.com/hammal/cbadc/issues) # Changelog ## 0.2.0 Major structural changes. Mainly motivated by improving simulators and filter coefficient computations to support switch-cap digital control simulations. Specifically, - [digital clock](https://cbadc.readthedocs.io/en/latest/api/autosummary/cbadc.analog_signal.clock.Clock.html#cbadc.analog_signal.clock.Clock) to aid the simulator and digital estimator computation - [digital control](https://cbadc.readthedocs.io/en/latest/api/autosummary/cbadc.digital_control.digital_control.DigitalControl.html#cbadc.digital_control.digital_control.DigitalControl) and derived classes have a new interface to support [digital clock](https://cbadc.readthedocs.io/en/latest/api/autosummary/cbadc.analog_signal.clock.Clock.html#cbadc.analog_signal.clock.Clock), i.e, `DigitalControl(..., clock, ...)`. - [Simulator](https://cbadc.readthedocs.io/en/latest/api/autosummary/cbadc.simulator.html) - [Analytical simulator](https://cbadc.readthedocs.io/en/latest/api/autosummary/cbadc.simulator.analytical_simulator.AnalyticalSimulator.html#cbadc.simulator.analytical_simulator.AnalyticalSimulator) implemented using [SymPy](https://www.sympy.org/en/index.html) - [Mpmath simulator](https://cbadc.readthedocs.io/en/latest/api/autosummary/cbadc.simulator.mp_simulator.MPSimulator.html#cbadc.simulator.mp_simulator.MPSimulator) implemented using [mpmath](https://mpmath.org) - Two Numerical simulators implemented using [NumPy](https://numpy.org) - [Full simulator](https://cbadc.readthedocs.io/en/latest/api/autosummary/cbadc.simulator.numerical_simulator.FullSimulator.html#cbadc.simulator.numerical_simulator.FullSimulator) the pervious default simulator. - [pre-computed simulator](https://cbadc.readthedocs.io/en/latest/api/autosummary/cbadc.simulator.numerical_simulator.PreComputedControlSignalsSimulator.html) same as Full simulator with the distinction that the control contributions are pre-computed. - The previous default [StateSpaceSimulator class](https://cbadc.readthedocs.io/en/v0.1.0/api/autosummary/cbadc.simulator.StateSpaceSimulator.html#cbadc.simulator.StateSpaceSimulator) has been replaced by the [`get_simulator`](https://cbadc.readthedocs.io/en/latest/api/autosummary/cbadc.simulator.wrapper.get_simulator.html#cbadc.simulator.wrapper.get_simulator) function. The simulation backend is chosen by passing an instance of [SimulatorType](). - The simulation clock period Ts is replaced by the [digital clock]() object and thus all simulator classes and the factory function `get_simulation(..., clock, ...)` is now instantiated with a clock determining the sample times. - [DigitalEstimator](https://cbadc.readthedocs.io/en/v0.1.0/api/autosummary/cbadc.digital_estimator.DigitalEstimator.html#cbadc.digital_estimator.DigitalEstimator) - The default DigitalEstimator changes it's name to [BatchEstimator](https://cbadc.readthedocs.io/en/latest/api/autosummary/cbadc.digital_estimator.batch_estimator.BatchEstimator.html#cbadc.digital_estimator.batch_estimator.BatchEstimator) - an additional filter computation backend implemented with [mpmath](https://mpmath.org) - Improved care implementation using [SymPy](https://www.sympy.org/en/index.html) instead of [SciPy](https://scipy.org). - `cbadc.specification.get_chain_of_integrator` and `cbadc.specification.get_leap_frog` a computation aid to dimension chain-of-integrators and leap-frog analog-frontends to meet ENOB and BW specifications Added verilog-ams circuit-level submodule Such that circuit-level implementations can be - constructed in Verilog-ams - the resulting filter coefficients can be computed - the resulting analog frontends can be simulated. ### 0.1.5 Added figures of merit [fom](https://cbadc.readthedocs.io/en/latest/api/autosummary/cbadc.fom.html#module-cbadc.fom) modul, [MurmannSurvey](https://cbadc.readthedocs.io/en/latest/api/autosummary/cbadc.fom.MurmannSurvey.html#cbadc.fom.MurmannSurvey) convenience class, and a new tutorial [The Murmann ADC Survey](https://cbadc.readthedocs.io/en/latest/tutorials/c_further/plot_a_Murmann_ADC_survey.html#sphx-glr-tutorials-c-further-plot-a-murmann-adc-survey-py). ### 0.1.2 Added fixed point arithmetics for FIR filter implementation. ### 0.1.1 Added support for switched capacitor digital control by adding a new: - [simulator](https://cbadc.readthedocs.io/en/latest/api/autosummary/cbadc.simulator.SwitchedCapacitorStateSpaceSimulator.html#cbadc.simulator.SwitchedCapacitorStateSpaceSimulator), - [digital control](https://cbadc.readthedocs.io/en/latest/api/autosummary/cbadc.digital_control.SwitchedCapacitorControl.html#cbadc.digital_control.SwitchedCapacitorControl), - and modifications to the FIR [digital estimator](https://cbadc.readthedocs.io/en/latest/api/autosummary/cbadc.digital_estimator.FIRFilter.html#cbadc.digital_estimator.FIRFilter) to handle the switch cap case. ## 0.1.0 - First public release


زبان مورد نیاز

مقدار نام
>=3.8 Python


نحوه نصب


نصب پکیج whl cbadc-0.2.2:

    pip install cbadc-0.2.2.whl


نصب پکیج tar.gz cbadc-0.2.2:

    pip install cbadc-0.2.2.tar.gz