Arikan Meets Shannon - Polar Codes With Near-Optimal Convergence to Channel Capacity

Arikan Meets Shannon - Polar Codes With Near-Optimal Convergence to Channel Capacity

Explore the groundbreaking concept of polar codes and their near-optimal convergence to channel capacity in this 26-minute conference talk. Delve into binary-input discrete symmetric memoryless channels, channel coding with linear codes, and Shannon capacity. Examine entropy polarization, recursive applications, and scaling exponents for polar codes. Investigate strong local polarization for BEC and BMS channels, focusing on single kernel analysis. Conclude with insights into bit-decoding of random linear codes, gaining a comprehensive understanding of this innovative approach to information theory and coding.