jayece09 Goto Github PK
Name: Jay Prakash
Type: User
Company: IIT BHU, SUTD Singapore
Location: Singapore/Varanasi
Name: Jay Prakash
Type: User
Company: IIT BHU, SUTD Singapore
Location: Singapore/Varanasi
Code of the blog post: http://fjavieralba.com/basic-sentiment-analysis-with-python.html
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
Simulation code for "Capacity Limits and Multiplexing Gains of MIMO Channels with Transceiver Impairments" by Emil Björnson, Per Zetterberg, Mats Bengtsson, Björn Ottersten, IEEE Communications Letters, vol. 17, no. 1, pp. 91-94, January 2013.
Different mac implementation for cognitive radio using gnuradio
Implementation of the Enhanced Collision Avoidance with deterministic back-off timers
Open source GPS receiver based on USRP and GN3S
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
Simulation code for “Optimal Design of Energy-Efficient Multi-User MIMO Systems: Is Massive MIMO the Answer?” by Emil Björnson, Luca Sanguinetti, Jakob Hoydis, Mérouane Debbah, IEEE Transactions on Wireless Communications, vol. 14, no. 6, pp. 3059-3075, June 2015.
A Galois LFSR implementation along with related utilities
Analyses performance of various Mac Protocols for Cognitive Radio Testbed
the best machine learning tutorials on the web
Simulation code for the book chapter “Massive MIMO Communications” by Trinh van Chien and Emil Björnson, 5G Mobile Communications, Springer, 2017
Simulation code for “Massive MIMO Systems with Non-Ideal Hardware: Energy Efficiency, Estimation, and Capacity Limits” by Emil Björnson, Jakob Hoydis, Marios Kountouris, Mérouane Debbah, IEEE Transactions on Information Theory, vol. 60, no. 11, pp. 7112-7139, November 2014.
Simulation code for “Massive MIMO: Ten Myths and One Critical Question” by Emil Björnson, Erik G. Larsson, Thomas L. Marzetta, IEEE Communications Magazine, vol. 54, no. 2, pp. 114-123, February 2016
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.
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
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, IEEE Transactions on Wireless Communications, vol. 15, no. 2, pp. 1293-1308, 2016.
Simulation code for “A Framework for Training-Based Estimation in Arbitrarily Correlated Rician MIMO Channels with Rician Disturbance” by Emil Björnson and Björn Ottersten, IEEE Transactions on Signal Processing, vol. 58, no. 3, pp. 1807-1820, March 2010.
Programs based on the videos from the Stanford ML class
Simulation code for “Massive MIMO with Multi-Antenna Users: When are Additional User Antennas Beneficial?” by Xueru Li, Emil Björnson, Shidong Zhou, and Jing Wang, Published at ICT 2016.
Simulation code for “Multi-Objective Signal Processing Optimization: The Way to Balance Conflicting Metrics in 5G Systems” by Emil Björnson, Eduard Jorswieck, Mérouane Debbah, and Björn Ottersten, IEEE Signal Processing Magazine, vol. 31, no. 6, pp. 14-23, November 2014.
Simulation code for “A New Look at Dual-Hop Relaying: Performance Limits with Hardware Impairments” by Emil Björnson, Michail Matthaiou, Mérouane Debbah, IEEE Transactions on Communications, vol. 61, no. 11, pp. 4512-4525, November 2013.
The C-based Firmware Patching Framework for Broadcom/Cypress WiFi Chips that enables Monitor Mode, Frame Injection and much more
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.