PySiiS

What is Framework PySiiS ?

This is a simple basic communication system visualization framework that can be used to combine different types of communication system components.

Created by SavenNeer @ sdust.cs.iot

Main Framework

[data]
    =>差错控制输入
        =>数字调制输入
            =>可控误差信道
        =>数字调制输出
    =>差错控制输出
=>[data]

The framework implements a visual and componentized operation process based on matplotlib and its schematic is as follows:

Generic Data Package

• The class DataPack in data.py is a generic stream-transporting package.

• Its built-in signal sampling configuration information and discrete sampling results. The format is numpy.ndarray and can be well used in related mathematical calculations.

Error Control

• We provide Haming and CRC error controllers by default, you can design your own error control modules with reference to haming.py and crc.py.

• We recommend that the error control module implement the class.errctl_encode(signals=[]) method to complete the encoding of the digital signal and decode its output via class.errctl_decode(DataPack).

• You need to define the .state variable inside the modules to feed your ARQ status messages to your main program.

Signal Conversion Stream

• The conversion list T=List() has been defined in the main program, you can pass the function addresses from the instantiated objects into the list, and the framework will automatically collect and visualize the output results of each component in the list.

• Note that you must ensure that the inputs and outputs of each function in T must be in DataPack format.

# DataPack信号转换列表
T = [
    ASK.encode, # ASK编码
    chn.transport, # 信道传输
    nflt.fliter, # 噪声过滤
    ASK.decode_stage1, # 相干解调
    ASK.decode_stage2, # 低通滤波
    ASK.decode_stage3, # 抽样判决
    hmctl.errctl_decode, # Haming差错控制
    # crctl.errctl_decode, # CRC差错控制
]

History Packets

• The class HisDataGrp is a dataset used to store discrete signal data for each stage. Its built-in method HisDataGrp.addData(DataPack) is used to add the resulting data internally.

• Note that you must ensure that each DataPack you pass in has the same sampling frequency.

Dynamic Player

• class DynPlayer class for dynamic visual playback of HisDataGrp data. It is able to arrange the signal waveform plot sequentially in the order of the signals added by addData() to show the characteristics of the signals at different stages of processing.

• DynPlayer.setXX(pack.t) is used to set the signal drive stream. Pack.t is essentially a collection of points formed by the sampled abscissa of a waveform graph.

• DynPlayer.play(hisdata=HisDataGrp,xlims=(0,pack.grpsize)) use matplotlib.pyplot to play the waveform graph. Does not automatically exit when playback is complete. To automatically exit the function, use the DynPlayer.autoplay() function.

Example

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