Build a streaming Python numpy Class

I want to have a well (inline) documented, structured, clean and properly abstracted Python class of a paper. The class has to be streaming, so process one sample at a time. One sample in, one sample out. Someone already implemented this paper for me in Python/numpy (you can have that code as a reference) but made a complete mess of the abstraction and did not properly understand streaming so was using the filtfilt method instead of the filter method using the state to be able to go sample for sample. Please do this right. After the processing done by the paper there has to be also some peak detection which has to be real-time on the fly as well. Please include an demonstration main that shows it is working. Find attached the example code and two input files that will work using the example to give you an idea of the raw signals. The example code contains an url to the paper.

Квалификация: Python, Архитектура ПО

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О работодателе:
( 11 отзыв(-а, -ов) ) Buitenpost, Netherlands

ID проекта: #11848989

14 фрилансеров(-а) в среднем готовы выполнить эту работу за €654


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€1030 EUR за 10 дней(-я)
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€750 EUR за 15 дней(-я)
(48 отзывов(-а))

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€555 EUR за 10 дней(-я)
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€773 EUR за 18 дней(-я)
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€777 EUR за 10 дней(-я)
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€250 EUR за 10 дней(-я)
(23 отзывов(-а))

just skimped over the paper. 1. is the example code exact implementation of the paper? 2. the example code is GUI-based. do you want GUI or just command line script? 3. you want 1) add streaming? 2) peak detection? Больше

€555 EUR за 10 дней(-я)
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€750 EUR за 30 дней(-я)
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