Metadata-Version: 2.1
Name: response
Version: 0.5.0
Summary: Your handy frequency and impulse response processing object
Home-page: https://github.com/fhchl/Response
Author: Franz M. Heuchel
Author-email: franz.heuchel@gmail.com
License: MIT
Description: 
        Response
        ========
        
        _Your handy frequency and impulse response processing object!_
        
        [![](https://img.shields.io/pypi/l/response.svg?style=flat)](https://pypi.org/project/response/)
        [![](https://img.shields.io/pypi/v/response.svg?style=flat)](https://pypi.org/project/response/)
        [![travis-ci](https://travis-ci.org/fhchl/Response.svg?branch=master)](https://travis-ci.org/fhchl/Response)
        [![codecov](https://codecov.io/gh/fhchl/Response/branch/master/graph/badge.svg)](https://codecov.io/gh/fhchl/Response)
        
        This module supplies the `Response` class: an abstraction of frequency and
        impulse responses and a set of handy methods for their processing. It implements a
        [fluent interface][1] for chaining the processing commands.
        
        Find the documentation [here][2] and the source code on [GitHub][3].
        
        [1]: https://en.wikipedia.org/wiki/Fluent_interface
        [2]: https://fhchl.github.io/Response/
        [3]: https://github.com/fhchl/Response
        
        ```python
        import numpy as np
        from response import Response
        
        fs = 48000  # sampling rate
        T = 0.5     # length of signal
        # a sine at 100 Hz
        t = np.arange(int(T * fs)) / fs
        x = np.sin(2 * np.pi * 100 * t)
        # Do chain of processing
        r = (
            Response.from_time(fs, x)
            # time window at the end and beginning
            .time_window((0, 0.1), (-0.1, None), window="hann")  # equivalent to Tukey window
            # zeropad to one second length
            .zeropad_to_length(fs * 1)
            # circular shift to center
            .circdelay(T / 2)
            # resample with polyphase filter, keep gain of filter
            .resample_poly(500, window=("kaiser", 0.5), normalize="same_amplitude")
            # cut 0.2s at beginning and end
            .timecrop(0.2, -0.2)
            # apply frequency domain window
            .freq_window((0, 90), (110, 500))
        )
        # plot magnitude, phase and time response
        r.plot(show=True)
        # real impulse response
        r.in_time
        # complex frequency response
        r.in_freq
        # and much more ...
        ```
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Multimedia :: Sound/Audio
Classifier: Topic :: Utilities
Requires-Python: >=3.6.0
Description-Content-Type: text/markdown
Provides-Extra: dev
