New abrupt change detector using Walsh functions

This paper deals with parametric model abrupt change detection. Within this field, a time varying autoregressive (TAR) modeling is presented, using Walsh functions as basis functions. Then, a new abrupt change detector based on this modeling is derived. An associated deflation algorithm leads to a complete detection tool with a maximum error of about 2 or 4 points around the estimated value.<
>