ECE 587 / STA 563 : Lecture 6 – Channel Coding

ECE 587 / STA 563 : Lecture 8 – Gaussian Channel

ECE 587 / STA 563 : Lecture 5 – Lossless Compression

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ECE 587 / STA 563 : Lecture 2 – Measures of Information

2.1 Quantifying Information . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 2.2 Entropy and Mutual Information . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 2.2.1 Entropy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 2.2.2 Mutual Information . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 2.2.3 Example: Test...

STA 563 : Lecture 9 – Rate Distortion Information Theory

9.1 Motivation: Quantization of Random Variables . . . . . . . . . . . . . . . . . . . . . 1 9.2 Lossy Source Coding Definitions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 9.3 The Rate Distortion Coding Theorem . . . . . . . . . . . . . . . . . . . . . . . . . . 4 9.3.1 Example: Binary Source . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 9.3.2 Example: Gaussian ...

Optimal SVD-based Precoding for Secret Key Extraction from Correlated OFDM Sub-Channels

Secret key extraction is a crucial issue in physical layer security and a less complex and, at the same time, a more robust scheme for the next generation of 5G and beyond. Unlike previous works on this topic, in which Orthogonal Frequency Division Multiplexing (OFDM) sub-channels were considered to be independent, the effect of correlation between sub-channels on the secret key rate is address...