zhaolin820/Imperial_communications_and_signal_processing

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zhaolin820/Imperial_communications_and_signal_processing

zhaolin820

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The materials for the MSc Communications and Signal Processing at Imperial College London

noma-empowered-integrated-sensing-and-communication

The code for the paper "NOMA Empowered Integrated Sensing and Communication" in IEEE Communications Letters

near-field-integrated-sensing-and-communications

The code for the paper "Near-Field Integrated Sensing and Communications" in IEEE Communications Letters

stars-enabled-integrated-sensing-and-communications

The code for the paper "STARS Enabled Integrated Sensing and Communications" in IEEE Transactions on Wireless Communications

STAR-RIS-for-terahertz-communications

The code for the paper "Simultaneously transmitting and reflecting surface (STARS) for terahertz communications" in IEEE Journal of Selected Topics in Signal Processing

ris-aided-dual-functional-radar-and-communications-beamforming-design

MSc thesis at Imperial College London

coupled-phase-shift-STAR-RIS

The code for the paper "Coupled Phase-Shift STAR-RISs: A General Optimization Framework" in IEEE Wireless Communications Letters

noma-aided-joint-communication-sensing-and-multi-tier-computing-systems

The code for the paper "NOMA-aided Joint Communication, Sensing, and Multi-tier Computing Systems" in IEEE Journal on Selected Areas in Communications

near-field-velocity-sensing-and-predictive-beamforming

The code for the paper "Near-Field Velocity Sensing and Predictive Beamforming".

beamfocusing-optimization-for-near-field-wideband-multi-user-communications

The code for the paper "Beamfocusing Optimization for Near-Field Wideband Multi-User Communications" in IEEE Transactions on Communications

TTD-configurations-for-near-field-beamforming-parallel-serial-or-hybrid

The code for the paper "TTD Configurations for Near-Field Beamforming: Parallel, Serial, or Hybrid?" in IEEE Transactions on Communications

Machine-Learning-Exercise

There are my codes of the exercises in Andrew Ng's Machine Learning course on Coursera

zhaolin820.github.io