suelence7 Goto Github PK

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suelence7's Projects

-the-noisy-channel-model

A simulation of the Noisy Channel Model plus data redundancy and security (encoder/decoder & encryption/decryption)

autoencoder-based-communication-system

Tensorflow Implementation and result of Auto-encoder Based Communication System From Research Paper : "An Introduction to Deep Learning for the Physical Layer" http://ieeexplore.ieee.org/document/8054694/

bcjr-decoding

This algorithm is reserved to the implementation of the Bahl, Cocke, Jelinek and Raviv (BCJR) algorithm. This function takes as input the channel output (corrupted data) and the a priori prob (we will set it to 1/2) and returns as output the APP Log Likelihood Ratio (LLR) for every data input. It is usually called a Soft Input Soft Output (SISO) decoder. It can be applied to any code having a finite state machine, in our case we will use it for rate-1/n convolutional codes.

channelcoding

Simulation of Channel coding and decoding after adding some noise using MatLab

claude

End-to-end learning of optical communication systems

commea

Coevolutionary Framework for Generalized Multimodal Multi-objective Optimization

commscoder

Depicts autoencoders as end-to-end communication systems

dataset

Open RadioML Synthetic Benchmark Dataset

deep-learning-for-ldpc-decoding

We provide a Deep learning method for LDPC decoding

deep-learning-for-the-physical-layer

PyTorch implementation for part of paper "An Introduction to Deep Learning for the Physical Layer" by Kenta Iwasaki on behalf of Gram.AI.

deepcode

Deepcode: Feedback Codes via Deep Learning, by Hyeji Kim, Yihan Jiang, Sreeram Kannan, Sewoong Oh, and Pramod Viswanath

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

deepsig_datasets

DeepSig's dataset for Machine Learning of Software Defined Radio

dl-channeldecoding

On Deep Learning-based Channel Decoding

dnn-fading-channel

Autoencoder PHY for fading channel

examples

Useful RadioML Examples

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

gitnotes

nonsense

god-of-bigdata

专注大数据学习面试，大数据成神之路开启。Flink/Spark/Hadoop/Hbase/Hive...

hands-on-reinforcement-learning-with-python

Hands-On Reinforcement Learning with Python, published by Packt

iterative-bp-cnn

The codes reproduce the research of our work in our JSTSP paper "An Iterative BP-CNN Architecture for Channel Decoding under Correlated Noise"

large-scale-fading-decoding

Simulation code for “Large-Scale-Fading Decoding in Cellular Massive MIMO Systems with Spatially Correlated Channels,” by Trinh Van Chien, Christopher Mollén, and Emil Björnson, IEEE Transactions on Communications, To appear