The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
May. 04, 1999
Filed:
Dec. 22, 1995
Glen Edward Offord, Macungie, PA (US);
Jeffrey Lee Sonntag, Rockland Township, PA (US);
Lucent Technologies Inc., Murray Hill, NJ (US);
Abstract
An apparatus and a scheme for adapting a plurality of tap weights in an FIR filter wherein tap weights are adapted for a current data cycle utilizing a current subset of data and the tap weights are adapted for a next data cycle utilizing a next subset of data is described. A method of adapting the plurality of tap weights in an adaptive FIR filter comprises assigning a current time slot for a timeshared tap weight processor during a current data cycle and assigning a different time slot for the timeshared tap weight processor during a next data cycle. The tap weights are adapted for the current data cycle utilizing a current subset of data and the tap weights are adapted for the next data cycle utilizing a next subset of data. In a further enhancement of the present invention method the different time slot for the next data cycle is assigned by rotating time slot assignments for the timeshared tap weight processor. An apparatus for adapting the plurality of tap weights comprises a circuit assigning a current time slot for the timeshared tap weight processor during a current data cycle and assigning a different time slot for the timeshared tap weight processor during a next data cycle. The tap weights are adapted for the current data cycle utilizing a current subset of data and the tap weights are adapted for the next data cycle utilizing a next subset of data.