En kuriøs kumulation af klub 100 scripts.

A small math library in SSE4 and upper written in C++

In this project, I attempt to simulate the performance (as measured by the BER: Bit Error Rate and SER: Symbol Error Rate) of two types of Digital Modulation techniques, namely MPSK: Multi-Level Phase Shift Keying and M-QAM: Multi-Level Quadrature Amplitude Modulation. The channel is modeled as an AWGN: Additive White Gaussian Noise channel and the detector is a coherent detector with and without phase errors. The simulation results are compared with theoretical results and performance of modulation schemes are analyzed.

A speech emotion recognition (SER) system that won 1st place in a competition for a deep learning master-course. It uses a parallel CNN built using Keras and Tensorflow.

Serverside Active Directory authentication boilerplate user express and LDAP

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