### Abstract

The recursive least squared lattice (LSL) algorithm based on the newly developed scaled tangent rotations (STAR) is derived. Similar to other recursive least square lattice algorithm for adaptive filtering, this algorithm requires only O(N) operations. The algorithm also preserved the desired properties of the STAR-RLS algorithm. Specifically, it can be pipelined at fine-grain level. To this end, a pipelined version of the STAR-LSL (referred to as PSTAR-LSL) is also developed. Computer simulations show that the performance of the STAR-LSL algorithm is as good as the QRD-LSL algorithm. Finite wordlength simulations also verify that this algorithm is robust to roundoff error.

Original language | English (US) |
---|---|

Pages (from-to) | 389-392 |

Number of pages | 4 |

Journal | Proceedings - IEEE International Symposium on Circuits and Systems |

Volume | 2 |

State | Published - Jan 1 1996 |

Event | Proceedings of the 1996 IEEE International Symposium on Circuits and Systems, ISCAS. Part 1 (of 4) - Atlanta, GA, USA Duration: May 12 1996 → May 15 1996 |

## Fingerprint Dive into the research topics of 'Star RLS lattice adaptive filters'. Together they form a unique fingerprint.

## Cite this

*Proceedings - IEEE International Symposium on Circuits and Systems*,

*2*, 389-392.