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112-opencv-tutorial

A series of code snippets created for an OpenCV talk for 15112 students at Carnegie Mellon University

approachpython

Read Python codes and understand them.www.itdiffer.com

article

article by me

awesome-python

A curated list of awesome Python frameworks, libraries and software

awesome-python-in-education

A curated list about Python in Education :snake: :mortar_board:

awesome-python-webapp

小白的Python入门教程实战篇：网站+iOS App源码

book-resource-allocation

Simulation code for the book “Optimal Resource Allocation in Coordinated Multi-Cell Systems” by Emil Björnson and Eduard Jorswieck, Foundations and Trends in Communications and Information Theory, vol. 9, no. 2-3, pp. 113-381, 2013

codecademy-exercise-answers

:mortar_board: Codecademy.com exercise answers

distributedbasestationclustering.jl

Julia simulation environment for "Interference Alignment-Aided Base Station Clustering using Coalition Formation" (Asilomar'15) and "Distributed Long-Term Base Station Clustering in Cellular Networks using Coalition Formation" (IEEE TSIPN 2016).

energy_consumption_in_mu_mimo_with_mobility

This code computes the energy consumption in the downlink of a single-cell multi-user MIMO system in which the base station (BS) makes use of N antennas to communicate with K single-antenna user equipments (UEs). The UEs move around in the cell according to a random walk mobility model.

freecodecamp.cn

看源码请到Code，提问请到Issues，提交代码请到Pull requests，看学习心得请到Wiki。多谢合作，么么哒，^_^。

gesturedetection

15-112 Term Project

hardware-scaling-laws

Simulation code for "Massive MIMO with Non-Ideal Arbitrary Arrays: Hardware Scaling Laws and Circuit-Aware Design" by Emil Björnson, Michail Matthaiou, Mérouane Debbah, IEEE Transactions on Wireless Communications, vol. 14, no. 8, pp. 4353-4368, August 2015

interference-coordination-in-full-duplex-hetnet-with-large-scale-antenna-arrays

Paper about Small Cell, Massive MIMO and Full-duplex

itarticles

lamson

Pythonic SMTP Application Server

ln-game-theory

Matlab code for the figures and the examples used in G. Bacci, L. Sanguinetti, and M. Luise, "Understanding game theory via wireless power control,' submitted to IEEE Signal Process. Mag., Oct. 2014.

lpthw-study-projects

A collection of small study projects for after LPTHW which teaches basic systems coding in Python.

machine-learning-in-action-python3

Data&code for Machine-Learning-in-Action by Python3 | 《机器学习实战》数据与Python3源码:cat2:

machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

machinelearning

Machine learning resources

massive-mimo-antenna-selection

大规模MIMO天线选择

massive-mimo-myths

Simulation code for “Massive MIMO: Ten Myths and One Critical Question” by Emil Björnson, Erik G. Larsson, Thomas L. Marzetta, To appear in IEEE Communications Magazine

massive-mimo-small-cells

Simulation code for “Massive MIMO and Small Cells: Improving Energy Efficiency by Optimal Soft-Cell Coordination” by Emil Björnson, Marios Kountouris, Mérouane Debbah, Proceedings of International Conference on Telecommunications (ICT), Casablanca, Morocco, May 2013.

maximal-ee

Simulation code for “Deploying Dense Networks for Maximal Energy Efficiency: Small Cells Meet Massive MIMO” by Emil Björnson, Luca Sanguinetti, Marios Kountouris, To appear in IEEE Journal on Selected Areas in Communications

maximal-se

Simulation code for “Massive MIMO for Maximal Spectral Efficiency: How Many Users and Pilots Should Be Allocated?” by Emil Björnson, Erik G. Larsson, Mérouane Debbah, To appear in IEEE Transactions on Wireless Communications

myflasktutorial

A Flask Tutorial for people who don't know any web programming. Actually, it would be helpful to know static HTML, also Python.

note-by-latex

All my learning notes, including Python, HTML, and so on. Powered by LaTeX and Markdown.

oaright.github.io

My Static Website

optimal-beamforming

Simulation code for “Optimal Multiuser Transmit Beamforming: A Difficult Problem with a Simple Solution Structure” by Emil Björnson, Mats Bengtsson, and Björn Ottersten, IEEE Signal Processing Magazine, vol. 31, no. 4, pp. 142-148, July 2014.