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adaptive-regularized-zero-forcing-beamforming-in-massive-mimo-with-multi-antenna-users

Modern wireless cellular networks use massive multiple-input multiple-output (MIMO) technology. This technology involves operations with an antenna array at a base station that simultaneously serves multiple mobile devices which also use multiple antennas on their side. For this, various precoding and detection techniques are used, allowing each us

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face-detection-and-recognition

Face detection using haar-cascade algorithm and the faces can be recognized with three different algorithms(Eigenface, Fisherface and Local Binary Pattern Histogram). Project writen in Python, using the OpenCV and Pillow libraries, based on the FACE DETECTION & FACE RECOGNITION USING OPEN COMPUTER VISION CLASSIFIERS thesis written by LAHIRU DINALANKARA. Link to his work: https://www.researchgate.net/publication/318900718_Face_Detection_Face_Recognition_Using_Open_Computer_Vision_Classifies

thesis-powermodel

This github page containts a power model for a cell-free massive MIMO network in which MMSE estimation and ZF precoding is applied.