Adaptive prediction is the application in which a model for the future (forward) or previous (backward) value of the filter input sequence is estimated using forward or backward predictors respectively. Lattice structure has most commonly been utilized for implementing linear predictors in the context of speech processing applications.

Papers:

Behrouz Farhang-Boroujeny. Adaptive Filters: Theory and Applications, Second Edition. John Wiley and Sons, 4 2013.

S. Alsaid, E. Abdel-Raheem, M. Khalid, and K. Mayyas. Variable tap-length algorithm using lattice structured lms adaptive filters. In 2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE), pages 1–5, April 2017.

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