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Unformatted text preview: ± Normalized step-size: NLMS Algorithm NLMS Algorithm ± Off-set parameter δ used to avoid divide by zero problems. ± Direction of tap-weight update still in the direction of steepest descent. ± Normalization of step-size removes sensitivity to eigenvalue spread χ (R). ± Convergence characteristics superior to the LMS. NLMS : Step NLMS : Step-size Analysis size Analysis ± Mean-square stability: ± Optimal step-size:...
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This note was uploaded on 12/02/2011 for the course AR 107 taught by Professor Gracegraham during the Fall '11 term at Montgomery College.
- Fall '11