bmatthiesen Goto Github PK
Name: Bho Matthiesen
Type: User
Company: University of Bremen
Location: Bremen, Germany
Name: Bho Matthiesen
Type: User
Company: University of Bremen
Location: Bremen, Germany
Source code for "A Globally Optimal Energy-Efficient Power Control Framework and its Efficient Implementation in Wireless Interference Networks" by Bho Matthiesen, Alessio Zappone, Karl-L. Besser, Eduard A. Jorswieck, and Merouane Debbah, accepted for publication in IEEE Transactions on Signal Processing.
Source code for "Energy Efficiency in MIMO Underlay and Overlay Device-to-Device Communications and Cognitive Radio Systems," by Alessio Zappone, Bho Matthiesen, and Eduard Jorswieck, IEEE Transactions on Signal Processing, vol. 65, no. 4, pp. 1026-1041 Feb. 2017.
Source code for "Efficient Global Optimal Resource Allocation in Non-Orthogonal Interference Networks" by Bho Matthiesen and Eduard A. Jorswieck, submitted to IEEE Transactions on Signal Processing.
Source code for "Intelligent Reflecting Surface Operation under Predictable Receiver Mobility: A Continuous Time Propagation Model" by Bho Matthiesen, Emil Björnson, Elisabeth De Carvalho, and Petar Popovski published in IEEE Wireless Communications Letters
Source code for "Mixed Monotonic Programming for Fast Global Optimization" by Bho Matthiesen, Christoph Hellings, Eduard A. Jorswieck and Wolfgang Utschick, submitted to IEEE Transactions on Signal Processing.
A Python library providing an interface to the MMP framework (in https://github.com/bmatthiesen/mixed-monotonic).
JavaScript image gallery for mobile and desktop, modular, framework independent
Source code for "Sampling Uniformly From the Set of Positive Definite Matrices With Trace Constraint" by Martin Mittelbach, Bho Matthiesen, and Eduard Jorswieck, IEEE Transactions on Signal Processing, vol. 60, no. 5, pp. 2167-2179, May 2012.
Simulation code for “Reconfigurable Intelligent Surfaces: A Signal Processing Perspective With Wireless Applications” by Emil Björnson, Henk Wymeersch, Bho Matthiesen, Petar Popovski, Luca Sanguinetti, and Elisabeth de Carvalho, IEEE Signal Processing Magazine, March 2022.
A collection of tutorials for the MOSEK package
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.