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Deep Learning/Deep neural network-based Image/Video (Quantized) Compressed/Compressive Sensing (Coding)
Incorporating Transformer and LSTM to Kalman Filter with EM algorithm
We provide a Deep learning method for LDPC decoding
《深度学习入门_基于Python的理论与实现》理解、实现
a CNN based end to end communication systems
deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)
Deep Learning Book Chinese Translation
深度学习以进行时间序列预测
For more details, see paper: DeepRMSA: A Deep Reinforcement Learning Framework for Routing, Modulation and Spectrum Assignment in Elastic Optical Networks
Density evolution for LDPC codes construction under AWGN-channel: reciprocal-channel approximation (RCA), Gaussian Evolution, Covariance Evolution
All routing protocol performs specific task in underwater wireless sensor network(UWSN). Routing is responsible for networking problems. The main design issues of the routing protocols for UWSN are Bandwidth capacity, problem related to low energy, node mobility and high propagation delays. In this project Dynamic route discovery, Cluster and depth based and Location based routing protocols are proposed.
压缩感知中迂回式匹配追踪算法
MATLAB code for [R. Arablouei, S. Werner, and K. Doğançay, “Diffusion-based distributed adaptive estimation utilizing gradient-descent total least-squares,” in Proc. Int. Conf. Acoust., Speech Signal Process., Vancouver, Canada, May 2013, pp. 5308-5312.]
This repo contains simulation code for DI-S-MMSE Turbo Equalizer and LMMSE Equalizer applied to OTFS Modulation.
This is a MATLAB script for obtaining achievable block/frame error rate (BLER/FER) bound for finite blocklength codes based on channel dispersion concept and by considering normal approximation (NA).
Distributed Compressive Sensing: A Deep Learning Approach
Effect of sparse Dictionary learning on the quality of recovery in Compressive sensing
This is the simplest implementation of Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems using keras.
Deep Reinforcement Learning
Impulse-Noise-Tolerant Data-Selective LMS Algorithm
Collection of resources that combine dynamic systems, control with deep learning.
Contains Implementation of Paper " S Wang, H Liu, P H Gomes, and B Krishnamachari ; Deep Reinforcement Learning for Dynamic Multichannel Access in Wireless Networks"
Conditional GAN based End-to-End Communication System
Solving energy efficiency optimization problem for MIMO interference wireless network using iterative semi-definite programming with WMMSE (SDP-WMMSE) algorithm and successive convex approximation (SCA) algorithm
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.