INFOTH Note 23: Parallel Gaussian Channels, WSS, Distributed Source Compression
Parallel Gaussian Channel Model, Water-Filling Theorem, Szegő Theorem for Colored Noise, Distributed Source Compression and Slepian-Wolf TheoremINFOTH Note 22: AWGN Channel and Shannon Limit
Waveform Channel Model, Additive White Gaussian Noise with its Shannon Theorem, and Spectral EfficiencyINFOTH Note 21: Polar Codes and Related Theories (Bhattacharyya, Martingale)
Polar Codes, Bhattacharyya Parameter, Martingale Theory, and Channel PolarizationINFOTH Note 20: Channel Coding Schemes
Maximum Likelihood Decoding, Block Coding (Binary Linear, Hamming, etc.) & Polar CodesINFOTH Note 19: Channel Coding Theorem for DMC 2
Proof of Shannon's Channel Coding Theorem, Converse TheoremINFOTH Note 18: Channel Coding Theorem for DMC 1
Discrete Memoryless Channel, Shannon's Channel Coding Theorem (2nd)Note: Gated DeltaNet & Qwen3-Next
Notes for Gated DeltaNet & Qwen3-Next.
Paper Reading: SEER (Structured Reasoning and Explanation via RL)
SEER: Facilitating Structured Reasoning and Explanation via Reinforcement Learning.