bilalkabas/QPSK-with-CAE-Compressor-and-CNN-Denoiser
This repository contains implementation of a QPSK-based telecommunication system optimized using deep learning based image compression and denoising in LabVIEW Communications environment using Python and Keras.
This project helps telecommunications engineers and researchers optimize digital communication systems. It takes images as input, compresses them to increase data rate, and then denoises them to combat common channel interference. The output is a clearer, more efficiently transmitted image.
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Use this if you are a telecommunications professional working with QPSK systems and need to improve data rate or reduce noise in transmitted image data.
Not ideal if you are looking for a general-purpose image compression or denoising tool for non-telecommunications applications or non-grayscale, non-handwritten digit images.
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AGPL-3.0
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Last pushed
Apr 29, 2021
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