Maximum Likelihood Sequence Detection - spsc

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Symbol Error Probability (1) • Upper and lower bound together PQ( d / 2 σ ) ≤ Pr[detection error] ≤ RQ( d ( Ψ) / 2 σ ) min min • Consider C between P and R Pr[detection error] ≈ CQ( dmin / 2 σ ) SPSC 36
Symbol Error Probability (2) • One detection error, one ore more bit errors • One input X k by n source bits 1 Pr[detection error] ≤ Pr[bit error] ≤ Pr[detection error] n Pr[detection error] ≈ Pr[bit error] SPSC 37
Page 1 and 2: Maximum Likelihood Sequence Detecti
Page 3 and 4: Channel Model SPSC 3
Page 5 and 6: Matched Filter as Receiver Front En
Page 7 and 8: Whitening of the Matched Filter (1)
Page 9 and 10: Detection • ML Detection of a Sin
Page 11 and 12: ML Detection of a Single Symbol •
Page 13 and 14: ML Detection With Intersymbol Inter
Page 15 and 16: ML Detection With Intersymbol Inter
Page 17 and 18: Sequence Detection • Markov Chain
Page 19 and 20: Markov Chains (2) • Trellis diagr
Page 21 and 22: • ISI Model Markov Chain Signal G
Page 23 and 24: The Viterbi Algorithm (1) • A. Vi
Page 25 and 26: The Viterbi Algorithm (3) • Survi
Page 27 and 28: The Viterbi Algorithm Example (2) S
Page 29 and 30: Error Probability Calculation • E
Page 31 and 32: Detection Error Pr[detection error]
Page 33 and 34: Upper Bound of Detection Error (2)
Page 35: Lower Bound of Detection Error (2)

Maximum Likelihood Sequence Detection - spsc

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