Pinned Repositories
AES_MATLAB
AES implementation in MATLAB
awesome-cs
👨💻 ❤️ 💻 上海交通大学计算机系本科作业参考
Comparative-Simulation-of-Non-Orthogonal-Multiple-Access-NOMA-with-OFDMA
IK2560 - MOBILE NETWORKS AND SERVICES
DCT-Domain-Information-Hiding
《信息隐藏技术》第五次实验——DCT域的信息隐藏
EE_OFDMA
Energy_efficiency_optimization_for_MIMO_interference_networks
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
lasso
Convex optimizers for LASSO, including subgradient, project gradient, proximal gradient, smooth method, lagrangian method and stochastic gradient descent variants.
maximal-EE
Simulation code for “Deploying Dense Networks for Maximal Energy Efficiency: Small Cells Meet Massive MIMO” by Emil Björnson, Luca Sanguinetti, Marios Kountouris, IEEE Journal on Selected Areas in Communications, vol. 34, no. 4, pp. 832-847, April 2016
Solving-Energy-Efficiency-Problems-through-Polynomial-Optimization-Theory
This is a code package is related to the follow scientific article: Andrea Pizzo, Alessio Zappone and Luca Sanguinetti, "Solving Energy Efficiency Problems through Polynomial Optimization Theory," IEEE Signal Processing Letters, Submitted to. The package contains a simulation environment, based on Matlab, that reproduces all the numerical results and figures in the article. We encourage you to also perform reproducible research!
tiny_tiktok
第五届字节青训营项目-迷你版抖音
maple1012's Repositories
maple1012/EE_OFDMA
maple1012/tiny_tiktok
第五届字节青训营项目-迷你版抖音
maple1012/AES_MATLAB
AES implementation in MATLAB
maple1012/awesome-cs
👨💻 ❤️ 💻 上海交通大学计算机系本科作业参考
maple1012/Comparative-Simulation-of-Non-Orthogonal-Multiple-Access-NOMA-with-OFDMA
IK2560 - MOBILE NETWORKS AND SERVICES
maple1012/DCT-Domain-Information-Hiding
《信息隐藏技术》第五次实验——DCT域的信息隐藏
maple1012/Energy_efficiency_optimization_for_MIMO_interference_networks
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
maple1012/lasso
Convex optimizers for LASSO, including subgradient, project gradient, proximal gradient, smooth method, lagrangian method and stochastic gradient descent variants.
maple1012/maximal-EE
Simulation code for “Deploying Dense Networks for Maximal Energy Efficiency: Small Cells Meet Massive MIMO” by Emil Björnson, Luca Sanguinetti, Marios Kountouris, IEEE Journal on Selected Areas in Communications, vol. 34, no. 4, pp. 832-847, April 2016
maple1012/Solving-Energy-Efficiency-Problems-through-Polynomial-Optimization-Theory
This is a code package is related to the follow scientific article: Andrea Pizzo, Alessio Zappone and Luca Sanguinetti, "Solving Energy Efficiency Problems through Polynomial Optimization Theory," IEEE Signal Processing Letters, Submitted to. The package contains a simulation environment, based on Matlab, that reproduces all the numerical results and figures in the article. We encourage you to also perform reproducible research!