Part 3: Detection, Equalization, and Multi-User Processing
Chapter 11: Equalization as Inference
Intermediate~160 min
Learning Objectives
- Recognize the ISI channel as a structured inference problem over hidden symbol sequences
- Derive and implement the Viterbi algorithm for MLSE and quantify its exponential-in-memory cost
- Design zero-forcing and MMSE linear equalizers in frequency and time domain, and reason about noise enhancement
- Derive the MMSE-DFE, quantify error propagation, and connect DFE to successive interference cancellation
Sections
💬 Discussion
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